Assessing local vulnerability to climate change in Ecuador

OpenAIRE

Fernandez, Mario Andres; Bucaram, Santiago J.; Renteria, Willington

2015-01-01

Vulnerability assessments have become necessary to increase the understanding of climate-sensitive systems and inform resource allocation in developing countries. Challenges arise when poor economic and social development combines with heterogeneous climatic conditions. Thus, finding and harmonizing good-quality data at local scale may be a significant hurdle for vulnerability research. In this paper we assess vulnerability to climate change at a local level in Ecuador. We take Ecuador as a c...

Climate change at the coast: from global to local

International Nuclear Information System (INIS)

Watkinson, A.R.

2009-01-01

The IPCC has recently documented substantial changes in the global heat content of the oceans, salinity, sea level, thermal expansion and biogeochemistry. Over the 21. century anticipated climate related changes include: a rise in sea level of up to 0.6 m or more; increases in sea surface temperatures up to 3 deg. C; an intensification of tropical and extra tropical cyclones; larger extreme waves and storm surges; altered precipitation/ run-off; and ocean acidification. The Tyndall Centre has been exploring how to down-scale the global analysis to the local level within the framework of a coastal simulator. The simulator provides information on possible future states of the coast through the 21. Century under a range of climate and socio-economic futures and shoreline management options. It links models within a nested framework, recognizing three scales: (1) global, (2) regional, and (3) local. The linked models describe a range of processes, including marine climate (waves, surges and mean sea level), sand bank morpho-dynamics, wave transformation, shoreline morpho-dynamics, built environment scenarios, ecosystem change, and erosion and flood risk. Analyses from the simulator reinforce conclusions from IPCC WG2: coasts will be exposed to increasing risks over coming decades due to many compounding climate-change factors; the impact of climate change on coasts will be exacerbated by increasing human induced pressures; the unavoidability of sea-level rise even in the longer-term frequently conflicts with present day human development patterns and trends. (author)

Uncovering Local Impacts – The Influence of Transnational Municipal Climate Networks on Urban Climate Governance

OpenAIRE

Busch, Henner; Bendlin, Lena; Fenton, Paul; Forschungszentrum für Umweltpolitik

2018-01-01

In recent years, many cities have joined transnational municipal climate networks (TMCNs), which were set up in response to climate change. Despite the fact that some of these TMCNs have been active for more than two decades, there has been no systematic investigation of the networks’ impact on local climate governance. In this article we attempt to answer if and how local climate governance has been influenced by municipalities’ memberships in TMCNs. Our assessment is based on an online surv...

Evolving local climate adaptation strategies: incorporating influences of socio–economic stress

OpenAIRE

Hjerpe, Mattias; Glaas, Erik

2012-01-01

Socio-economic and climatic stresses affect local communities’ vulnerability toflooding. Better incorporation of socio-economic stress in local vulnerability assessments isimportant when planning for climate adaptation. This is rarely done due to insufficientunderstanding of their interaction, in both theory and practice. The omission leads to criticalweaknesses in local adaptation strategies. This study analyses how socio-economic stressinteract with climatic stress and shape local vulnerabi...

Approaches to local climate action in Colorado

Science.gov (United States)

Huang, Y. D.

2011-12-01

Though climate change is a global problem, the impacts are felt on the local scale; it follows that the solutions must come at the local level. Fortunately, many cities and municipalities are implementing climate mitigation (or climate action) policies and programs. However, they face many procedural and institutional barriers to their efforts, such of lack of expertise or data, limited human and financial resources, and lack of community engagement (Krause 2011). To address the first obstacle, thirteen in-depth case studies were done of successful model practices ("best practices") of climate action programs carried out by various cities, counties, and organizations in Colorado, and one outside Colorado, and developed into "how-to guides" for other municipalities to use. Research was conducted by reading documents (e.g. annual reports, community guides, city websites), email correspondence with program managers and city officials, and via phone interviews. The information gathered was then compiled into a series of reports containing a narrative description of the initiative; an overview of the plan elements (target audience and goals); implementation strategies and any indicators of success to date (e.g. GHG emissions reductions, cost savings); and the adoption or approval process, as well as community engagement efforts and marketing or messaging strategies. The types of programs covered were energy action plans, energy efficiency programs, renewable energy programs, and transportation and land use programs. Between the thirteen case studies, there was a range of approaches to implementing local climate action programs, examined along two dimensions: focus on climate change (whether it was direct/explicit or indirect/implicit) and extent of government authority. This benchmarking exercise affirmed the conventional wisdom propounded by Pitt (2010), that peer pressure (that is, the presence of neighboring jurisdictions with climate initiatives), the level of

Think globally, act locally? Local climate change and energy policies in Sweden and the UK

International Nuclear Information System (INIS)

Collier, U.; Loefstedt, R.E.

1997-01-01

While climate change is obviously a global environmental problem, there is nevertheless potential for policy initiatives at the local level. Although the competences of local authorities vary between countries, they all have some responsibilities in the crucial areas of energy and transport policy. This paper examines local competences in Sweden and the UK and looks at the responses to the climate change issue by six local authorities, focussing on energy related developments. The points of departure are very different in the two countries. Swedish local authorities are much more independent than UK ones, especially through the ownership of local energy companies. Yet, UK local authorities are relatively active in the climate change domain, at least in terms of drawing up response strategies, which they see as an opportunity for reasserting their role, after a long period of erosion of their powers. Furthermore, there is more scope for action in the UK, as in Sweden many potential measures, especially in the energy efficiency field, have already been taken. However, in both countries climate change is only a relatively marginal area of local environmental policy making and the political will, as well as the financial resources, for more radical measures are often absent. (Author)

Local climate protection programmes in Australia and New Zealand

DEFF Research Database (Denmark)

Hoff, Jens Villiam

about climate change broadly in the involved councils/local communities. • The CCP programme gave councils a strong focus, which led to the formulation of a coherent program on climate change, and allowed them to take on a leadership role in the local community. The leadership role was important...... in aligning the agendas of different stakeholders, and in local efforts to achieve attitude- and culture changes towards a more environmentally sustainable local community. • The CCP programme created a network among participating councils for sharing experiences and motivating each other. It also provided...

Development and nationwide scale-up of Climate Matters, a localized climate change education program delivered by TV weathercasters.

Science.gov (United States)

Cullen, H. M.; Maibach, E.

2016-12-01

Most Americans view climate change as a threat that is distant in space (i.e., not here), time (i.e., not now), and species (i.e., not us). TV weathercasters are ideally positioned to educate Americans about the current and projected impacts of climate change in their community: they have tremendous reach, are trusted sources of climate information, and are highly skilled science communicators. In 2009, we learned that many weathercasters were potentially interested in reporting on climate change, but few actually were, citing significant barriers including a lack of time to prepare and air stories, and lack of access to high quality content. To test the premise that TV weathercasters can be effective climate educators - if supported with high quality localized climate communication content - in 2010 George Mason University, Climate Central and WLTX-TV (Columbia, SC) developed and pilot-tested Climate Matters, a series of short on-air (and online) segments about the local impacts of climate change, delivered by the station's chief meteorologist. During the first year, more than a dozen stories aired. To formally evaluate Climate Matters, we conducted pre- and post-test surveys of local TV news viewers in Columbia. After one year, WLTX viewers had developed a more science-based understanding of climate change than viewers of other local news stations, confirming our premise that when TV weathercasters report on the local implications of climate change, their viewers learn. Through a series of expansions, including the addition of important new partners - AMS, NASA, NOAA & Yale University - Climate Matters has become a comprehensive nationwide climate communication resource program for American TV weathercasters. As of March 2016, a network of 313 local weathercasters nationwide (at 202 stations in 111 media markets) are participating in the program, receiving new content on a weekly basis. This presentation will review the theoretical basis of the program, detail

Health Aspects of Climate Change in Cities with Mediterranean Climate, and Local Adaptation Plans.

Science.gov (United States)

Paz, Shlomit; Negev, Maya; Clermont, Alexandra; Green, Manfred S

2016-04-21

Cities with a Mediterranean-type climate (Med-cities) are particularly susceptible to health risks from climate change since they are located in biogeographical hot-spots that experience some of the strongest effects of the changing climate. The study aims to highlight health impacts of climate change in Med-cities, analyze local climate adaptation plans and make adaptation policy recommendations for the Med-city level. We identified five Med-cities with a climate change adaptation plan: Adelaide, Barcelona, Cape Town, Los Angeles and Santiago. Beyond their similar Med-climate features (although Santiago's are slightly different), the cities have different socio-economic characteristics in various aspects. We analyzed each plan according to how it addresses climate change-related drivers of health impacts among city dwellers. For each driver, we identified the types of policy adaptation tools that address it in the urban climate adaptation plans. The surveyed cities address most of the fundamental climate change-related drivers of risks to human health, including rising temperatures, flooding and drought, but the policy measures to reduce negative impacts vary across cities. We suggest recommendations for Med-cities in various aspects, depending on their local needs and vulnerability challenges: assessment of health risks, extreme events management and long-term adaptation, among others.

Global Climate Change, Food Security, and Local Sustainability: Increasing Climate Literacy in Urban Students

Science.gov (United States)

Boger, R. A.; Low, R.; Gorokhovich, Y.

2011-12-01

Three higher education institutions, University of Nebraska-Lincoln (UNL), Brooklyn College, and Lehman College, are working together to share expertise and resources to expand climate change topics offered to undergraduate and graduate students in New York City (NYC). This collaboration combines existing UNL educational learning resources and infrastructure in virtual coursework. It will supply global climate change education and locally-based research experiences to the highly diverse undergraduate students of Brooklyn and Lehman Colleges and to middle and high school teachers in NYC. Through the university partnership, UNL materials are being adapted and augmented to include authentic research experiences for undergraduates and teachers using NASA satellite data, geographic information system (GIS) tools, and/or locally collected microclimate data from urban gardens. Learners download NASA data, apply an Earth system approach, and employ GIS in the analysis of food production landscapes in a dynamically changing climate system. The resulting course will be offered via Blackboard courseware, supported by Web 2.0 technologies designed specifically to support dialogue, data, and web publication sharing between partners, teachers and middle school, high school and undergraduate student researchers. NYC is in the center of the urban farming movement. By exploring water and food topics of direct relevance to students' lives and community, we anticipate that students will be motivated and more empowered to make connections between climate change and potential impacts on the health and happiness of people in their community, in the United States and around the world. Final course will be piloted in 2012.

Training NOAA Staff on Effective Communication Methods with Local Climate Users

Science.gov (United States)

Timofeyeva, M. M.; Mayes, B.

2011-12-01

Since 2002 NOAA National Weather Service (NWS) Climate Services Division (CSD) offered training opportunities to NWS staff. As a result of eight-year-long development of the training program, NWS offers three training courses and about 25 online distance learning modules covering various climate topics: climate data and observations, climate variability and change, NWS national and local climate products, their tools, skill, and interpretation. Leveraging climate information and expertise available at all NOAA line offices and partners allows delivery of the most advanced knowledge and is a very critical aspect of the training program. NWS challenges in providing local climate services includes effective communication techniques on provide highly technical scientific information to local users. Addressing this challenge requires well trained, climate-literate workforce at local level capable of communicating the NOAA climate products and services as well as provide climate-sensitive decision support. Trained NWS climate service personnel use proactive and reactive approaches and professional education methods in communicating climate variability and change information to local users. Both scientifically-unimpaired messages and amiable communication techniques such as story telling approach are important in developing an engaged dialog between the climate service providers and users. Several pilot projects NWS CSD conducted in the past year applied the NWS climate services training program to training events for NOAA technical user groups. The technical user groups included natural resources managers, engineers, hydrologists, and planners for transportation infrastructure. Training of professional user groups required tailoring the instructions to the potential applications of each group of users. Training technical user identified the following critical issues: (1) Knowledge of target audience expectations, initial knowledge status, and potential use of climate

Climate warming drives local extinction: Evidence from observation and experimentation.

Science.gov (United States)

Panetta, Anne Marie; Stanton, Maureen L; Harte, John

2018-02-01

Despite increasing concern about elevated extinction risk as global temperatures rise, it is difficult to confirm causal links between climate change and extinction. By coupling 25 years of in situ climate manipulation with experimental seed introductions and both historical and current plant surveys, we identify causal, mechanistic links between climate change and the local extinction of a widespread mountain plant ( Androsace septentrionalis ). Climate warming causes precipitous declines in population size by reducing fecundity and survival across multiple life stages. Climate warming also purges belowground seed banks, limiting the potential for the future recovery of at-risk populations under ameliorated conditions. Bolstered by previous reports of plant community shifts in this experiment and in other habitats, our findings not only support the hypothesis that climate change can drive local extinction but also foreshadow potentially widespread species losses in subalpine meadows as climate warming continues.

Climate reconstruction analysis using coexistence likelihood estimation (CRACLE): a method for the estimation of climate using vegetation.

Science.gov (United States)

Harbert, Robert S; Nixon, Kevin C

2015-08-01

• Plant distributions have long been understood to be correlated with the environmental conditions to which species are adapted. Climate is one of the major components driving species distributions. Therefore, it is expected that the plants coexisting in a community are reflective of the local environment, particularly climate.• Presented here is a method for the estimation of climate from local plant species coexistence data. The method, Climate Reconstruction Analysis using Coexistence Likelihood Estimation (CRACLE), is a likelihood-based method that employs specimen collection data at a global scale for the inference of species climate tolerance. CRACLE calculates the maximum joint likelihood of coexistence given individual species climate tolerance characterization to estimate the expected climate.• Plant distribution data for more than 4000 species were used to show that this method accurately infers expected climate profiles for 165 sites with diverse climatic conditions. Estimates differ from the WorldClim global climate model by less than 1.5°C on average for mean annual temperature and less than ∼250 mm for mean annual precipitation. This is a significant improvement upon other plant-based climate-proxy methods.• CRACLE validates long hypothesized interactions between climate and local associations of plant species. Furthermore, CRACLE successfully estimates climate that is consistent with the widely used WorldClim model and therefore may be applied to the quantitative estimation of paleoclimate in future studies. © 2015 Botanical Society of America, Inc.

Municipal Climate Governance and Formation of Local Transition places

DEFF Research Database (Denmark)

Søndergård, Bent; Stauning, Inger; Holm, Jesper

for the need of studies of local situated transition arenas and how they by integrating specific local conditions become sites of development of innovative practices. Jesper Holm, Inger Stauning and Jesper Holm, Department of Department of Environmental, Social and Spatial Change, Roskilde University (RUC......Theme: Sustainable spaces Municipal Climate Governance and Formation of Local Transition Places The paper examines how municipalities develop new local governance efforts for climate mitigation and analyses how these efforts contributes to the development of local transition places. It is based...... authorities and policy networks tend to show more willingness for performing experimentation in transition. • Reduction of CO2-emission and transformation of social-technical energy systems has a complexity and a dependency of local context (bio resources, companies, energy systems, technologies, build...

Local Perceptions of Climate Variability and Change in Tropical Forests of Papua, Indonesia

Directory of Open Access Journals (Sweden)

Manuel Boissière

2013-12-01

Full Text Available People everywhere experience changes and events that impact their lives. Knowing how they perceive, react, and adapt to climatic changes and events is helpful in developing strategies to support adaptation to climate change. Mamberamo in Papua, Indonesia, is a sparsely populated watershed of 7.8 million hectares possessing rich tropical forests. Our study compares scientific and traditional ecological knowledge (TEK on climate, and analyzes how local people in Mamberamo perceive and react to climatic variations. We compared meteorological data for the region with local views gathered through focus group discussions and interviews in six villages. We explored the local significance of seasonality, climate variability, and climate change. Mamberamo is subject to strikingly low levels of climatic variation; nonetheless local people highlighted certain problematic climate-related events such as floods and droughts. As our results illustrate, the implications vary markedly among villages. People currently consider climate variation to have little impact on their livelihoods when contrasted with other factors, e.g., logging, mining, infrastructure development, and political decentralization. Nonetheless, increased salinity of water supplies, crop loss due to floods, and reduced hunting success are concerns in specific villages. To gain local engagement, adaptation strategies should initially focus on factors that local people already judge important. Based on our results we demonstrate that TEK, and an assessment of local needs and concerns, provide practical insights for the development and promotion of locally relevant adaptation strategies. These insights offer a foundation for further engagement.

Climate-Related Local Extinctions Are Already Widespread among Plant and Animal Species.

Directory of Open Access Journals (Sweden)

John J Wiens

2016-12-01

Full Text Available Current climate change may be a major threat to global biodiversity, but the extent of species loss will depend on the details of how species respond to changing climates. For example, if most species can undergo rapid change in their climatic niches, then extinctions may be limited. Numerous studies have now documented shifts in the geographic ranges of species that were inferred to be related to climate change, especially shifts towards higher mean elevations and latitudes. Many of these studies contain valuable data on extinctions of local populations that have not yet been thoroughly explored. Specifically, overall range shifts can include range contractions at the "warm edges" of species' ranges (i.e., lower latitudes and elevations, contractions which occur through local extinctions. Here, data on climate-related range shifts were used to test the frequency of local extinctions related to recent climate change. The results show that climate-related local extinctions have already occurred in hundreds of species, including 47% of the 976 species surveyed. This frequency of local extinctions was broadly similar across climatic zones, clades, and habitats but was significantly higher in tropical species than in temperate species (55% versus 39%, in animals than in plants (50% versus 39%, and in freshwater habitats relative to terrestrial and marine habitats (74% versus 46% versus 51%. Overall, these results suggest that local extinctions related to climate change are already widespread, even though levels of climate change so far are modest relative to those predicted in the next 100 years. These extinctions will presumably become much more prevalent as global warming increases further by roughly 2-fold to 5-fold over the coming decades.

Climate warming drives local extinction: Evidence from observation and experimentation

Science.gov (United States)

Panetta, Anne Marie; Stanton, Maureen L.; Harte, John

2018-01-01

Despite increasing concern about elevated extinction risk as global temperatures rise, it is difficult to confirm causal links between climate change and extinction. By coupling 25 years of in situ climate manipulation with experimental seed introductions and both historical and current plant surveys, we identify causal, mechanistic links between climate change and the local extinction of a widespread mountain plant (Androsace septentrionalis). Climate warming causes precipitous declines in population size by reducing fecundity and survival across multiple life stages. Climate warming also purges belowground seed banks, limiting the potential for the future recovery of at-risk populations under ameliorated conditions. Bolstered by previous reports of plant community shifts in this experiment and in other habitats, our findings not only support the hypothesis that climate change can drive local extinction but also foreshadow potentially widespread species losses in subalpine meadows as climate warming continues. PMID:29507884

A new method to detect transitory signatures and local time/space variability structures in the climate system: the scale-dependent correlation analysis

Science.gov (United States)

Rodó, Xavier; Rodríguez-Arias, Miquel-Àngel

2006-10-01

The study of transitory signals and local variability structures in both/either time and space and their role as sources of climatic memory, is an important but often neglected topic in climate research despite its obvious importance and extensive coverage in the literature. Transitory signals arise either from non-linearities, in the climate system, transitory atmosphere-ocean couplings, and other processes in the climate system evolving after a critical threshold is crossed. These temporary interactions that, though intense, may not last long, can be responsible for a large amount of unexplained variability but are normally considered of limited relevance and often, discarded. With most of the current techniques at hand these typology of signatures are difficult to isolate because the low signal-to-noise ratio in midlatitudes, the limited recurrence of the transitory signals during a customary interval of data considered. Also, there is often a serious problem arising from the smoothing of local or transitory processes if statistical techniques are applied, that consider all the length of data available, rather than taking into account the size of the specific variability structure under investigation. Scale-dependent correlation (SDC) analysis is a new statistical method capable of highlighting the presence of transitory processes, these former being understood as temporary significant lag-dependent autocovariance in a single series, or covariance structures between two series. This approach, therefore, complements other approaches such as those resulting from the families of wavelet analysis, singular-spectrum analysis and recurrence plots. A main feature of SDC is its high-performance for short time series, its ability to characterize phase-relationships and thresholds in the bivariate domain. Ultimately, SDC helps tracking short-lagged relationships among processes that locally or temporarily couple and uncouple. The use of SDC is illustrated in the present

climate change adaptation strategies by local farmers in kilombero

African Journals Online (AJOL)

Osondu

climatic stresses? What are institutions and political structures influencing local farmer's adaptive capacity? ... ability of the systems to adjust to climate change and has three ..... seedlings, and use of improved seed varieties. Political structures ...

Assessing local vulnerability to climate change in Ecuador.

Science.gov (United States)

Fernandez, Mario Andres; Bucaram, Santiago J; Renteria, Willington

2015-01-01

Vulnerability assessments have become necessary to increase the understanding of climate-sensitive systems and inform resource allocation in developing countries. Challenges arise when poor economic and social development combines with heterogeneous climatic conditions. Thus, finding and harmonizing good-quality data at local scale may be a significant hurdle for vulnerability research. In this paper we assess vulnerability to climate change at a local level in Ecuador. We take Ecuador as a case study as socioeconomic data are readily available. To incorporate the spatial and temporal pattern of the climatic variables we use reanalysis datasets and empirical orthogonal functions. Our assessment strategy relies on the statistical behavior of climatic and socioeconomic indicators for the weighting and aggregation mechanism into a composite vulnerability indicator. Rather than assuming equal contribution to the formation of the composite indicator, we assume that the weights of the indicators vary inversely as the variance over the cantons (administrative division of Ecuador). This approach captures the multi-dimensionality of vulnerability in a comprehensive form. We find that the least vulnerable cantons concentrate around Ecuador's largest cities (e.g. Quito and Guayaquil); however, approximately 20 % of the national population lives in other cantons that are categorized as highly and very highly vulnerable to climate change. Results also show that the main determinants of high vulnerability are the lack of land tenure in agricultural areas and the nonexistence of government-funded programs directed to environmental and climate change management.

Providing the Larger Climate Context During Extreme Weather - Lessons from Local Television News

Science.gov (United States)

Woods, M.; Cullen, H. M.

2015-12-01

Local television weathercasters, in their role as Station Scientists, are often called upon to educate viewers about the science and impacts of climate change. Climate Central supports these efforts through its Climate Matters program. Launched in 2010 with support from the National Science Foundation, the program has grown into a network that includes more than 245 weathercasters from across the country and provides localized information on climate and ready-to-use, broadcast quality graphics and analyses in both English and Spanish. This presentation will focus on discussing best practices for integrating climate science into the local weather forecast as well as advances in the science of extreme event attribution. The Chief Meteorologist at News10 (Sacramento, CA) will discuss local news coverage of the ongoing California drought, extreme weather and climate literacy.

FUTURE CLIMATE ANALYSIS

International Nuclear Information System (INIS)

R.M. Forester

2000-01-01

This Analysis/Model Report (AMR) documents an analysis that was performed to estimate climatic variables for the next 10,000 years by forecasting the timing and nature of climate change at Yucca Mountain (YM), Nevada (Figure l), the site of a potential repository for high-level radioactive waste. The future-climate estimates are based on an analysis of past-climate data from analog meteorological stations, and this AMR provides the rationale for the selection of these analog stations. The stations selected provide an upper and a lower climate bound for each future climate, and the data from those sites will provide input to the infiltration model (USGS 2000) and for the total system performance assessment for the Site Recommendation (TSPA-SR) at YM. Forecasting long-term future climates, especially for the next 10,000 years, is highly speculative and rarely attempted. A very limited literature exists concerning the subject, largely from the British radioactive waste disposal effort. The discussion presented here is one method, among many, of establishing upper and lower bounds for future climate estimates. The method used here involves selecting a particular past climate from many past climates, as an analog for future climate. Other studies might develop a different rationale or select other past climates resulting in a different future climate analog

FUTURE CLIMATE ANALYSIS

Energy Technology Data Exchange (ETDEWEB)

R.M. Forester

2000-03-14

This Analysis/Model Report (AMR) documents an analysis that was performed to estimate climatic variables for the next 10,000 years by forecasting the timing and nature of climate change at Yucca Mountain (YM), Nevada (Figure l), the site of a potential repository for high-level radioactive waste. The future-climate estimates are based on an analysis of past-climate data from analog meteorological stations, and this AMR provides the rationale for the selection of these analog stations. The stations selected provide an upper and a lower climate bound for each future climate, and the data from those sites will provide input to the infiltration model (USGS 2000) and for the total system performance assessment for the Site Recommendation (TSPA-SR) at YM. Forecasting long-term future climates, especially for the next 10,000 years, is highly speculative and rarely attempted. A very limited literature exists concerning the subject, largely from the British radioactive waste disposal effort. The discussion presented here is one method, among many, of establishing upper and lower bounds for future climate estimates. The method used here involves selecting a particular past climate from many past climates, as an analog for future climate. Other studies might develop a different rationale or select other past climates resulting in a different future climate analog.

Ecosystem-Based Adaptation to Climate Change in Caribbean Small Island Developing States: Integrating Local and External Knowledge

Directory of Open Access Journals (Sweden)

Tiina Kurvits

2012-08-01

Full Text Available Caribbean Small Island Developing States (SIDS are vulnerable to climate change impacts including sea level rise, invasive species, ocean acidification, changes in rainfall patterns, increased temperatures, and changing hazard regimes including hurricanes, floods and drought. Given high dependencies in Caribbean SIDS on natural resources for livelihoods, a focus on ecosystems and their interaction with people is essential for climate change adaptation. Increasingly, ecosystem-based adaptation (EbA approaches are being highlighted as an approach to address climate change impacts. Specifically, EbA encourages the use of local and external knowledge about ecosystems to identify climate change adaptation approaches. This paper critically reviews EbA in Caribbean SIDS, focusing on the need to integrate local and external knowledge. An analysis of current EbA in the Caribbean is undertaken alongside a review of methodologies used to integrate local and external expertise for EbA. Finally key gaps, lessons learnt and suggested ways forward for EbA in Caribbean SIDS and potentially further afield are identified.

Geographic variation in opinions on climate change at state and local scales in the USA

Science.gov (United States)

Howe, Peter D.; Mildenberger, Matto; Marlon, Jennifer R.; Leiserowitz, Anthony

2015-06-01

Addressing climate change in the United States requires enactment of national, state and local mitigation and adaptation policies. The success of these initiatives depends on public opinion, policy support and behaviours at appropriate scales. Public opinion, however, is typically measured with national surveys that obscure geographic variability across regions, states and localities. Here we present independently validated high-resolution opinion estimates using a multilevel regression and poststratification model. The model accurately predicts climate change beliefs, risk perceptions and policy preferences at the state, congressional district, metropolitan and county levels, using a concise set of demographic and geographic predictors. The analysis finds substantial variation in public opinion across the nation. Nationally, 63% of Americans believe global warming is happening, but county-level estimates range from 43 to 80%, leading to a diversity of political environments for climate policy. These estimates provide an important new source of information for policymakers, educators and scientists to more effectively address the challenges of climate change.

Local climate policy in practice. Use of the playing field, impact of trends and the integration of climate care in municipal policy

International Nuclear Information System (INIS)

Menkveld, M.; Burger, H.; Kaal, M.B.T.; Coenen, F.H.J.M.

2001-10-01

The result of the first research phase of the project was an outline of the playing field of local climate policy. The use of options and instruments from the playing field is examined on the basis of literature and interviews with local governments. In the process, barriers for the implementation of options are illustrated. The evaluation of the playing field in practise shows that local governments often only use part of their playing field. Even local governments that excel and are familiar throughout the country in relation to one particular task area ignore other task areas. The reasons why options and instruments are not fully utilised vary per task area: not enough internal support; lack of clear policy framework; climate policy must join in with other targets or local governments depend on cooperation of other actors. Nevertheless, generally speaking the success and failure factors in utilising options in the local government playing field are often related to the sphere of cooperation with other parties and the input of knowledge in the organisation of the local government. Moreover, the importance of climate is not made explicit enough in many task areas. The options in climate policy for local governments are influenced by social developments. In the study three trends are examined with respect to their influence: developments in the area of liberalisation of the energy market, the position of local governments in national environmental policy and changes in local democracy. These trends result in a complication of the role of local governments. Local governments must show more initiative than in the past. Liberalisation leads to a more business-oriented relationship with energy companies and probably lower energy prices. Larger freedom of policy results in more space for establishing local priorities, but does not necessarily result in more attention for local climate policy. Participation can result in a larger support for climate policy but also

Efficient and Flexible Climate Analysis with Python in a Cloud-Based Distributed Computing Framework

Science.gov (United States)

Gannon, C.

2017-12-01

As climate models become progressively more advanced, and spatial resolution further improved through various downscaling projects, climate projections at a local level are increasingly insightful and valuable. However, the raw size of climate datasets presents numerous hurdles for analysts wishing to develop customized climate risk metrics or perform site-specific statistical analysis. Four Twenty Seven, a climate risk consultancy, has implemented a Python-based distributed framework to analyze large climate datasets in the cloud. With the freedom afforded by efficiently processing these datasets, we are able to customize and continually develop new climate risk metrics using the most up-to-date data. Here we outline our process for using Python packages such as XArray and Dask to evaluate netCDF files in a distributed framework, StarCluster to operate in a cluster-computing environment, cloud computing services to access publicly hosted datasets, and how this setup is particularly valuable for generating climate change indicators and performing localized statistical analysis.

Preparing for climate change: a perspective from local public health officers in California.

Science.gov (United States)

Bedsworth, Louise

2009-04-01

The most recent scientific findings show that even with significant emission reductions, some amount of climate change is likely inevitable. The magnitude of the climate changes will depend on future emissions and climate sensitivity. These changes will have local impacts, and a significant share of coping with these changes will fall on local governmental agencies. Public health is no exception, because local public health agencies are crucial providers of disease prevention, health care, and emergency preparedness services. This article presents the results of a survey of California's local pubic health officers conducted between August and October 2007. The survey gauged health officers' concerns about the public health impacts of climate change, programs in place that could help to mitigate these health effects, and information and resource needs for better coping with a changing climate. The results of this survey show that most public health officers feel that climate change poses a serious threat to public health but that they do not feel well equipped in terms of either resources or information to cope with that threat. Nonetheless, public health agencies currently implement a number of programs that will help these agencies handle some of the challenges posed by a changing climate. Overall, the results suggest that local public health agencies in California are likely in a better position than they perceive to address the threats associated with climate change but that there is a larger role for them to play in climate policy.

Climate change and local pollution effects. An integrated approach

International Nuclear Information System (INIS)

Aaheim, H.A.; Kristin, A.; Seip, H.M.

1999-01-01

Few studies on measures for mitigation of damage caused by man-made emissions to the environment have tried to consider all major effects. We illustrate the importance of an integrated approach by estimating costs and benefits of a proposed energy saving program for Hungary, originally designed to reduce CO 2 emissions. The dominant benefit of implementing the program is likely to be reduced health damage from local pollutants. Also reduced costs of material damage and to a lesser extent vegetation damage contribute to make the net benefit considerable. Compared to the reduction in these local and regional effects, the benefits from reducing greenhouse gases are likely to be minor. Since local effects in general occur much earlier after measures have been implemented than effects of increased emissions of greenhouse gases, inclusion of local effects makes evaluation of climate policy less dependent on the choice of discount rate. In our opinion, similar results are likely for many measures originally designed to reduce emissions of greenhouse gases particularly in some areas in developing countries with high local pollution levels. Main uncertainties in the analysis, e.g. in the relationships between damage and pollution level, are discussed. 72 refs

Single-Locus versus Multilocus Patterns of Local Adaptation to Climate in Eastern White Pine (Pinus strobus, Pinaceae.

Directory of Open Access Journals (Sweden)

Om P Rajora

Full Text Available Natural plant populations are often adapted to their local climate and environmental conditions, and populations of forest trees offer some of the best examples of this pattern. However, little empirical work has focused on the relative contribution of single-locus versus multilocus effects to the genetic architecture of local adaptation in plants/forest trees. Here, we employ eastern white pine (Pinus strobus to test the hypothesis that it is the inter-genic effects that primarily drive climate-induced local adaptation. The genetic structure of 29 range-wide natural populations of eastern white pine was determined in relation to local climatic factors using both a reference set of SSR markers, and SNPs located in candidate genes putatively involved in adaptive response to climate. Comparisons were made between marker sets using standard single-locus outlier analysis, single-locus and multilocus environment association analyses and a novel implementation of Population Graphs. Magnitudes of population structure were similar between the two marker sets. Outlier loci consistent with diversifying selection were rare for both SNPs and SSRs. However, genetic distances based on the multilocus among population covariances (cGD were significantly more correlated to climate, even after correcting for spatial effects, for SNPs as compared to SSRs. Coalescent simulations confirmed that the differences in mutation rates between SSRs and SNPs did not affect the topologies of the Population Graphs, and hence values of cGD and their correlations with associated climate variables. We conclude that the multilocus covariances among populations primarily reflect adaptation to local climate and environment in eastern white pine. This result highlights the complexity of the genetic architecture of adaptive traits, as well as the need to consider multilocus effects in studies of local adaptation.

Using Local Stories as a Call to Action on Climate Change Adaptation and Mitigation in Minnesota

Science.gov (United States)

Phipps, M.

2015-12-01

Climate Generation: A Will Steger Legacy and the University of Minnesota's Regional Sustainability Development Partnerships (RSDP) have developed a novel approach to engaging rural Minnesotans on climate change issues. Through the use of personal, local stories about individuals' paths to action to mitigate and or adapt to climate change, Climate Generation and RSDP aim to spur others to action. Minnesota's Changing Climate project includes 12 Climate Convenings throughout rural Minnesota in a range of communities (tourism-based, agrarian, natural resources-based, university towns) to engage local populations in highly local conversations about climate change, its local impacts, and local solutions currently occurring. Climate Generation and RSDP have partnered with Molly Phipps Consulting to evaluate the efficacy of this approach in rural Minnesota. Data include pre and post convening surveys examining participants' current action around climate change, attitudes toward climate change (using questions from Maibach, Roser-Renouf, and Leiserowitz, 2009), and the strength of their social network to support their current and ongoing work toward mitigating and adapting to climate change. Although the Climate Convenings are tailored to each community, all include a resource fair of local organizations already engaging in climate change mitigation and adaptation activities which participants can participate in, a welcome from a trusted local official, a presentation on the science of climate change, sharing of local climate stories, and break-out groups where participants can learn how to get involved in a particular mitigation or adaptation strategy. Preliminary results have been positive: participants feel motivated to work toward mitigating and adapting to climate change, and more local stories have emerged that can be shared in follow-up webinars and on a project website to continue to inspire others to act.

Climate Controls AM Fungal Distributions from Global to Local Scales

Science.gov (United States)

Kivlin, S. N.; Hawkes, C.; Muscarella, R.; Treseder, K. K.; Kazenel, M.; Lynn, J.; Rudgers, J.

2016-12-01

Arbuscular mycorrhizal (AM) fungi have key functions in terrestrial biogeochemical processes; thus, determining the relative importance of climate, edaphic factors, and plant community composition on their geographic distributions can improve predictions of their sensitivity to global change. Local adaptation by AM fungi to plant hosts, soil nutrients, and climate suggests that all of these factors may control fungal geographic distributions, but their relative importance is unknown. We created species distribution models for 142 AM fungal taxa at the global scale with data from GenBank. We compared climate variables (BioClim and soil moisture), edaphic variables (phosphorus, carbon, pH, and clay content), and plant variables using model selection on models with (1) all variables, (2) climatic variables only (including soil moisture) and (3) resource-related variables only (all other soil parameters and NPP) using the MaxEnt algorithm evaluated with ENMEval. We also evaluated whether drivers of AM fungal distributions were phylogenetically conserved. To test whether global correlates of AM fungal distributions were reflected at local scales, we then surveyed AM fungi in nine plant hosts along three elevation gradients in the Upper Gunnison Basin, Colorado, USA. At the global scale, the distributions of 55% of AM fungal taxa were affected by both climate and soil resources, whereas 16% were only affected by climate and 29% were only affected by soil resources. Even for AM fungi that were affected by both climate and resources, the effects of climatic variables nearly always outweighed those of resources. Soil moisture and isothermality were the main climatic and NPP and soil carbon the main resource related factors influencing AM fungal distributions. Distributions of closely related AM fungal taxa were similarly affected by climate, but not by resources. Local scale surveys of AM fungi across elevations confirmed that climate was a key driver of AM fungal

Implementing European climate adaptation policy. How local policymakers react to European policy

Directory of Open Access Journals (Sweden)

Thomas Hartmann

2015-04-01

Full Text Available EU policy and projects have an increasing influence on policymaking for climate adaptation. This is especially evident in the development of new climate adaptation policies in transnational city networks. Until now, climate adaptation literature has paid little attention to the influence that these EU networks have on the adaptive capacity in cities. This paper uses two Dutch cities as an empirical base to evaluate the influence of two EU climate adaptation projects on both the experience of local public officials and the adaptive capacity in the respective cities. The main conclusion is that EU climate adaptation projects do not automatically lead to an increased adaptive capacity in the cities involved. This is due to the political opportunistic use of EU funding, which hampers the implementation of climate adaptation policies. Furthermore, these EU projects draw attention away from local network building focused on the development and implementation of climate adaptation policies. These factors have a negative cumulative impact on the performance of these transnational policy networks at the adaptive capacity level in the cities involved. Therefore, in order to strengthen the adaptive capacity in today’s European cities, a context-specific, integrative approach in urban planning is needed at all spatial levels. Hence, policy entrepreneurs should aim to create linkage between the issues in the transnational city network and the concerns in local politics and local networks.

People as sensors: mass media and local temperature influence climate change discussion on Twitter

Science.gov (United States)

Kirilenko, A.; Molodtsova, T.; Stepchenkova, S.

2014-12-01

We examined whether people living under significant temperature anomalies connect their sensory experiences to climate change and the role that media plays in this process. We used Twitter messages containing words "climate change" and "global warming" as the indicator of attention that public pays to the issue. Specifically, the goals were: (1) to investigate whether people immediately notice significant local weather anomalies and connect them to climate change and (2) to examine the role of mass media in this process. Over 2 million tweets were collected for a two-year period (2012 - 2013) and were assigned to 157 urban areas in the continental USA (Figure 1). Geographical locations of the tweets were identified with a geolocation resolving algorithm based the profile of the users. Daily number of tweets (tweeting rate) was computed for 157 conterminous USA urban areas and adjusted for data acquisition errors. The USHCN daily minimum and maximum temperatures were obtained for the station locations closest to the centers of the urban areas and the 1981-2010 30-year temperature mean and standard deviation were used as the climate normals. For the analysis, we computed the following indices for each day of 2012 - 2013 period: standardized temperature anomaly, absolute standardized temperature anomaly, and extreme cold and hot temperature anomalies for each urban zone. The extreme cold and hot temperature anomalies were then transformed into country-level values that represent the number of people living in extreme temperature conditions. The rate of tweeting on climate change was regressed on the time variables, number of climate change publications in the mass media, and temperature. In the majority of regression models, the mass media and temperature variables were significant at the pmedia acts as a mediator in the relationship between local weather and climate change discourse intensity. Our analysis of Twitter data confirmed that the public is able to

Human Impacts on the Hydrologic Cycle: Comparing Global Climate Change and Local Water Management

Science.gov (United States)

Ferguson, I. M.; Maxwell, R. M.

2010-12-01

Anthropogenic climate change is significantly altering the hydrologic cycle at global and regional scales, with potentially devastating impacts on water resources. Recent studies demonstrate that hydrologic response to climate change will depend on local-scale feedbacks between groundwater, surface water, and land surface processes. These studies suggest that local water management practices that alter the quantity and distribution of water in the terrestrial system—e.g., groundwater pumping and irrigation—may also feed back across the hydrologic cycle, with impacts on land-atmosphere fluxes and thus weather and climate. Here we use an integrated hydrologic model to compare the impacts of large-scale climate change and local water management practices on water and energy budgets at local and watershed scales. We consider three climate scenarios (hot, hot+wet, and hot+dry) and three management scenarios (pumping only, irrigation only, and pumping+irrigation). Results demonstrate that impacts of local water management on basin-integrated groundwater storage, evapotranspiration, and stream discharge are comparable to those of changing climate conditions. However, impacts of climate change are shown to have a smaller magnitude and greater spatial extent, while impacts of pumping and irrigation are shown to have a greater magnitude but are local to areas where pumping and irrigation occur. These results have important implications regarding the scales of human impacts on both water resources and climate and the sustainability of water resources.

Governance by Diffusion: Transnational Municipal Networks and the Spread of Local Climate Strategies in Europe

OpenAIRE

Lukas Hakelberg

2014-01-01

Cities have become crucial actors for the global governance of climate change. Their increased activity in this field is reflected by the rising number of adoptions of local climate strategies in an original sample of 274 European cities from 1992 to 2009. Using event history analysis, I find that this spread is promoted by transnational municipal networks (TMNs) successfully deploying strategies for governance by diffusion, their impact exceeding that of most alternative explanatory factors ...

Promoting interactions between local climate change mitigation, sustainable energy development, and rural development policies in Lithuania

International Nuclear Information System (INIS)

Streimikiene, Dalia; Baležentis, Tomas; Kriščiukaitienė, Irena

2012-01-01

Lithuania has developed several important climate change mitigation policy documents however there are no attempts in Lithuania to develop local climate change mitigation policies or to decentralize climate change mitigation policy. Seeking to achieve harmonization and decentralization of climate change mitigation and energy policies in Lithuania the framework for local climate change mitigation strategy need to be developed taking into account requirements, targets and measures set in national climate change mitigation and energy policy documents. The paper will describe how national climate change mitigation and energy policies can be implemented via local energy and climate change mitigation plans. The aim of the paper is to analyze the climate change mitigation policy and its relationship with policies promoting sustainable energy development in Lithuania and to present a framework for local approaches to climate change mitigation in Lithuania, in the context of the existing national and supra-national energy, climate change, and rural development policies. - Highlights: ► The framework for local energy action plans is offered. ► The structural support possibilities are assessed with respect to the Lithuanian legal base. ► The proposals are given for further promotion of sustainable energy at the local level.

Future Climate Analysis

International Nuclear Information System (INIS)

Cambell, C. G.

2004-01-01

This report documents an analysis that was performed to estimate climatic variables for the next 10,000 years by forecasting the timing and nature of climate change at Yucca Mountain, Nevada, the site of a repository for spent nuclear fuel and high-level radioactive waste. The future-climate estimates are based on an analysis of past-climate data from analog meteorological stations, and this report provides the rationale for the selection of these analog stations. The stations selected provide an upper and a lower climate bound for each future climate, and the data from those sites will provide input to the following reports: ''Simulation of Net Infiltration for Present-Day and Potential Future Climates'' (BSC 2004 [DIRS 170007]), ''Total System Performance Assessment (TSPA) Model/Analysis for the License Application'' (BSC 2004 [DIRS 168504]), ''Features, Events, and Processes in UZ Flow and Transport'' (BSC 2004 [DIRS 170012]), and ''Features, Events, and Processes in SZ Flow and Transport'' (BSC 2004 [DIRS 170013]). Forecasting long-term future climates, especially for the next 10,000 years, is highly speculative and rarely attempted. A very limited literature exists concerning the subject, largely from the British radioactive waste disposal effort. The discussion presented here is one available forecasting method for establishing upper and lower bounds for future climate estimates. The selection of different methods is directly dependent on the available evidence used to build a forecasting argument. The method used here involves selecting a particular past climate from many past climates, as an analog for future climate. While alternative analyses are possible for the case presented for Yucca Mountain, the evidence (data) used would be the same and the conclusions would not be expected to drastically change. Other studies might develop a different rationale or select other past climates resulting in a different future climate analog. Other alternative

Adapting to the Changing Climate: An Assessment of Local Health Department Preparations for Climate Change-Related Health Threats, 2008-2012.

Science.gov (United States)

Roser-Renouf, Connie; Maibach, Edward W; Li, Jennifer

2016-01-01

Climate change poses a major public health threat. A survey of U.S. local health department directors in 2008 found widespread recognition of the threat, but limited adaptive capacity, due to perceived lack of expertise and other resources. We assessed changes between 2008 and 2012 in local public health departments' preparedness for the public health threats of climate change, in light of increasing national polarization on the issue, and widespread funding cutbacks for public health. A geographically representative online survey of directors of local public health departments was conducted in 2011-2012 (N = 174; response rate = 50%), and compared to the 2008 telephone survey results (N = 133; response rate = 61%). Significant polarization had occurred: more respondents in 2012 were certain that the threat of local climate change impacts does/does not exist, and fewer were unsure. Roughly 10% said it is not a threat, compared to 1% in 2008. Adaptation capacity decreased in several areas: perceived departmental expertise in climate change risk assessment; departmental prioritization of adaptation; and the number of adaptation-related programs and services departments provided. In 2008, directors' perceptions of local impacts predicted the number of adaptation-related programs and services their departments offered, but in 2012, funding predicted programming and directors' impact perceptions did not. This suggests that budgets were constraining directors' ability to respond to local climate change-related health threats. Results also suggest that departmental expertise may mitigate funding constraints. Strategies for overcoming these obstacles to local public health departments' preparations for climate change are discussed.

Presenting a Framework to Analyze Local Climate Policy and Action in Small and Medium-Sized Cities

Directory of Open Access Journals (Sweden)

Thomas Hoppe

2016-08-01

Full Text Available Academic attention to local climate policy usually focuses on large-sized cities. Given the climate challenges ahead this seems unjustified. Small and medium-sized cities (SMCs deserve scholarly attention as well. The main question is: What factors influence climate change policy and local climate actions in SMCs? In this article we present an analytical framework to analyze climate change policy and local climate actions of SMCs. The framework addresses different aspects: policy-input, -throughput, -output, -outcome, characteristics of the local environment, local action arenas, influence by higher government levels, and interaction with climate change issue networks. The framework is used to analyze and compare four case studies of SMCs in the Dutch region of Twente (two urban and two rural municipalities, and addresses both adaptation and mitigation. Results show that both ‘localist’, ‘multi-level’ and issue network membership factors influence local climate policy action. Governance modes discerned concern mostly ‘governing by authority’ and ‘self-governing’. When reflecting on the role of SMCs in climate action the study revealed the importance of local capacity building schemes issued by provincial government, inter-municipal network collaboration, and the potential for local governments to mobilize and organize citizen action.

Future Climate Analysis

International Nuclear Information System (INIS)

James Houseworth

2001-01-01

This Analysis/Model Report (AMR) documents an analysis that was performed to estimate climatic variables for the next 10,000 years by forecasting the timing and nature of climate change at Yucca Mountain (YM), Nevada (Figure 1), the site of a potential repository for high-level radioactive waste. The future-climate estimates are based on an analysis of past-climate data from analog meteorological stations, and this AMR provides the rationale for the selection of these analog stations. The stations selected provide an upper and a lower climate bound for each future climate, and the data from those sites will provide input to the infiltration model (USGS 2000) and for the total system performance assessment for the Site Recommendation (TSPA-SR) at YM. Forecasting long-term future climates, especially for the next 10,000 years, is highly speculative and rarely attempted. A very limited literature exists concerning the subject, largely from the British radioactive waste disposal effort. The discussion presented here is one method, among many, of establishing upper and lower bounds for future climate estimates. The method used here involves selecting a particular past climate from many past climates, as an analog for future climate. Other studies might develop a different rationale or select other past climates resulting in a different future climate analog. Revision 00 of this AMR was prepared in accordance with the ''Work Direction and Planning Document for Future Climate Analysis'' (Peterman 1999) under Interagency Agreement DE-AI08-97NV12033 with the U.S. Department of Energy (DOE). The planning document for the technical scope, content, and management of ICN 01 of this AMR is the ''Technical Work Plan for Unsaturated Zone (UZ) Flow and Transport Process Model Report'' (BSC 2001a). The scope for the TBV resolution actions in this ICN is described in the ''Technical Work Plan for: Integrated Management of Technical Product Input Department''. (BSC 2001b, Addendum B

Future Climate Analysis

Energy Technology Data Exchange (ETDEWEB)

James Houseworth

2001-10-12

This Analysis/Model Report (AMR) documents an analysis that was performed to estimate climatic variables for the next 10,000 years by forecasting the timing and nature of climate change at Yucca Mountain (YM), Nevada (Figure 1), the site of a potential repository for high-level radioactive waste. The future-climate estimates are based on an analysis of past-climate data from analog meteorological stations, and this AMR provides the rationale for the selection of these analog stations. The stations selected provide an upper and a lower climate bound for each future climate, and the data from those sites will provide input to the infiltration model (USGS 2000) and for the total system performance assessment for the Site Recommendation (TSPA-SR) at YM. Forecasting long-term future climates, especially for the next 10,000 years, is highly speculative and rarely attempted. A very limited literature exists concerning the subject, largely from the British radioactive waste disposal effort. The discussion presented here is one method, among many, of establishing upper and lower bounds for future climate estimates. The method used here involves selecting a particular past climate from many past climates, as an analog for future climate. Other studies might develop a different rationale or select other past climates resulting in a different future climate analog. Revision 00 of this AMR was prepared in accordance with the ''Work Direction and Planning Document for Future Climate Analysis'' (Peterman 1999) under Interagency Agreement DE-AI08-97NV12033 with the U.S. Department of Energy (DOE). The planning document for the technical scope, content, and management of ICN 01 of this AMR is the ''Technical Work Plan for Unsaturated Zone (UZ) Flow and Transport Process Model Report'' (BSC 2001a). The scope for the TBV resolution actions in this ICN is described in the ''Technical Work Plan for: Integrated Management of Technical

Local control on precipitation in a fully coupled climate-hydrology model.

Science.gov (United States)

Larsen, Morten A D; Christensen, Jens H; Drews, Martin; Butts, Michael B; Refsgaard, Jens C

2016-03-10

The ability to simulate regional precipitation realistically by climate models is essential to understand and adapt to climate change. Due to the complexity of associated processes, particularly at unresolved temporal and spatial scales this continues to be a major challenge. As a result, climate simulations of precipitation often exhibit substantial biases that affect the reliability of future projections. Here we demonstrate how a regional climate model (RCM) coupled to a distributed hydrological catchment model that fully integrates water and energy fluxes between the subsurface, land surface, plant cover and the atmosphere, enables a realistic representation of local precipitation. Substantial improvements in simulated precipitation dynamics on seasonal and longer time scales is seen for a simulation period of six years and can be attributed to a more complete treatment of hydrological sub-surface processes including groundwater and moisture feedback. A high degree of local influence on the atmosphere suggests that coupled climate-hydrology models have a potential for improving climate projections and the results further indicate a diminished need for bias correction in climate-hydrology impact studies.

Role of community based local institution for climate change adaptation in the Teesta riverine area of Bangladesh

Directory of Open Access Journals (Sweden)

Md. Rezaul Karim

2017-01-01

Full Text Available Climate change adaptation is one of the most crucial issues in developing countries like Bangladesh. The main objective was to understand the linkage of participation with Community Based Adaptation (CBA to climate change. Institutional framework following different types of conceptual theories (collective action, group, game and social learning theory was utilized to analyze the participatory process in local community level Village Disaster Mangement Committee (VDMC that works in collaboration with local government. Field level data was collected through interview and group discussion during 25 April to 30 May 2015 in the Teesta riverine area of northern Bangladesh. Results showed that flood and drought were the major climate change impacts in the study area, and various participatory tools were used for risk assessment and undertaking action plans to overcome the climate change challenges by the group VDMC. Participation in VDMC generated both relational and technical outcomes. The relational outcomes are the informal institutional changes through which local community adopt technological adaptation measures. Although, limitations like bargaining problem, free riding or conflict were found in collective decision making, but the initiation of local governance like VDMC has brought various institutional change in the communities in terms of adaptation practices. More than 80% VDMC and around 40–55% non-VDMC household respondents agreed that overall community based adaptation process was successful in the previous year. They believed that some innovative practices had been brought in the community through VDMC action for climate change adaptation. No doubt that the CBA has achieved good progress to achieve the government Comprehensive Disaster Management (CDM strategy of climate change adaptation. But, there is still lack of coordination among local government, NGOs and civil partners in working together. Research related to socio

Increasing bioenergy production on arable land: Does the regional and local climate respond? Germany as a case study

Science.gov (United States)

Tölle, Merja H.; Gutjahr, Oliver; Busch, Gerald; Thiele, Jan C.

2014-03-01

The extent and magnitude of land cover change effect on local and regional future climate during the vegetation period due to different forms of bioenergy plants are quantified for extreme temperatures and energy fluxes. Furthermore, we vary the spatial extent of plant allocation on arable land and simulate alternative availability of transpiration water to mimic both rainfed agriculture and irrigation. We perform climate simulations down to 1 km scale for 1970-1975 C20 and 2070-2075 A1B over Germany with Consortium for Small-Scale Modeling in Climate Mode. Here an impact analysis indicates a strong local influence due to land cover changes. The regional effect is decreased by two thirds of the magnitude of the local-scale impact. The changes are largest locally for irrigated poplar with decreasing maximum temperatures by 1°C in summer months and increasing specific humidity by 0.15 g kg-1. The increased evapotranspiration may result in more precipitation. The increase of surface radiative fluxes Rnet due to changes in latent and sensible heat is estimated by 5 W m-2locally. Moreover, increases in the surface latent heat flux cause strong local evaporative cooling in the summer months, whereas the associated regional cooling effect is pronounced by increases in cloud cover. The changes on a regional scale are marginal and not significant. Increasing bioenergy production on arable land may result in local temperature changes but not in substantial regional climate change in Germany. We show the effect of agricultural practices during climate transitions in spring and fall.

Using Local Climate Science to Educate "Key Influentials" and their Communities in the San Diego Region

Science.gov (United States)

Boudrias, M. A.; Estrada, M.; Anders, S.; Silva-Send, N. J.; Yin, Z.; Schultz, P.; Young, E.

2012-12-01

Influentials described themselves as concerned about climate change, they believed only 10% of their peers were equally concerned. Results from a public opinion survey of 1001 San Diego residents exhibited two clear trends: San Diegans were consistently more attuned and concerned about climate change and its impacts than nationwide average; and similar to the KI findings, they do not believe others are as concerned as they are. Further, mediation analysis of results supported TIMSI, showing that climate change education that promotes efficacy, identity and values endorsed by a concerned community are most likely to result in engagement in mitigation and adaptive behaviors. All CCEP-I activities informed and directed the design of our Phase II Strategic plan and will provide baseline data for assessing changes that occur as we implement the educational plan. Implementation strategies for the next Phase will emphasize (1) presenting local climate science and unique climate impacts, (2) working with Key Influentials in diverse ways, including educational both formal and informal dialogues for this non-traditional audience, developing climate education messages to be delivered by KIs to their peers and their communities, and engaging certain KIs to be the portal to their constituents; and (3) using social media to connect educators and their audiences.

Future Climate Analysis

Energy Technology Data Exchange (ETDEWEB)

C. G. Cambell

2004-09-03

This report documents an analysis that was performed to estimate climatic variables for the next 10,000 years by forecasting the timing and nature of climate change at Yucca Mountain, Nevada, the site of a repository for spent nuclear fuel and high-level radioactive waste. The future-climate estimates are based on an analysis of past-climate data from analog meteorological stations, and this report provides the rationale for the selection of these analog stations. The stations selected provide an upper and a lower climate bound for each future climate, and the data from those sites will provide input to the following reports: ''Simulation of Net Infiltration for Present-Day and Potential Future Climates'' (BSC 2004 [DIRS 170007]), ''Total System Performance Assessment (TSPA) Model/Analysis for the License Application'' (BSC 2004 [DIRS 168504]), ''Features, Events, and Processes in UZ Flow and Transport'' (BSC 2004 [DIRS 170012]), and ''Features, Events, and Processes in SZ Flow and Transport'' (BSC 2004 [DIRS 170013]). Forecasting long-term future climates, especially for the next 10,000 years, is highly speculative and rarely attempted. A very limited literature exists concerning the subject, largely from the British radioactive waste disposal effort. The discussion presented here is one available forecasting method for establishing upper and lower bounds for future climate estimates. The selection of different methods is directly dependent on the available evidence used to build a forecasting argument. The method used here involves selecting a particular past climate from many past climates, as an analog for future climate. While alternative analyses are possible for the case presented for Yucca Mountain, the evidence (data) used would be the same and the conclusions would not be expected to drastically change. Other studies might develop a different rationale or select other past

From GCM Output to Local Hydrologic and Ecological Impacts: Integrating Climate Change Projections into Conservation Lands

Science.gov (United States)

Weiss, S. B.; Micheli, L.; Flint, L. E.; Flint, A. L.; Thorne, J. H.

2014-12-01

Assessment of climate change resilience, vulnerability, and adaptation options require downscaling of GCM outputs to local scales, and conversion of temperature and precipitation forcings into hydrologic and ecological responses. Recent work in the San Francisco Bay Area, and California demonstrate a practical approach to this process. First, climate futures (GCM x Emissions Scenario) are screened using cluster analysis for seasonal precipitation and temperature, to select a tractable subset of projections that still represent the range of climate projections. Second, monthly climate projections are downscaled to 270m and the Basin Characterization Model (BCM) applied, to generate fine-scale recharge, runoff, actual evapotranspiration (AET), and climatic water deficit (CWD) accounting for soils, bedrock geology, topography, and local climate. Third, annual time-series are used to derive 30-year climatologies and recurrence intervals of extreme events (including multi-year droughts) at the scale of small watersheds and conservation parcels/networks. We take a "scenario-neutral" approach where thresholds are defined for system "failure," such as water supply shortfalls or drought mortality/vegetation transitions, and the time-window for hitting those thresholds is evaluated across all selected climate projections. San Francisco Bay Area examples include drought thresholds (CWD) for specific vegetation-types that identify leading/trailing edges and local refugia, evaluation of hydrologic resources (recharge and runoff) provided by conservation lands, and productivity of rangelands (AET). BCM outputs for multiple futures are becoming available to resource managers through on-line data extraction tools. This approach has wide applicability to numerous resource management issues.

Modeling the effects of local climate change on crop acreage

Directory of Open Access Journals (Sweden)

Hyunok Lee

2016-01-01

Full Text Available The impacts of climate change on agriculture depend on local conditions and crops grown. For instance, warmer winter temperatures in a given area would reduce chill hours, potentially cutting yields for some crops but extending the growing season for others. Using a century of climate data and six decades of acreage data, we established quantitative economic relationships between the evolution of local climate and acreage of 12 important crops in Yolo County. We then used the historical trend in climate change to project future crop acreages in the county. Only marginal changes in acreage in 2050 were projected for tree and vine crops there, in part because chill hours, although lower, remained above critical values. Walnuts were the most vulnerable tree crop, and the projections indicated some cultivars might be marginal in years with particularly warm winters. Processing tomato acreage might increase, due to a longer growing season, and also alfalfa acreage, if water availability and other factors remain constant.

Effects of local adaptation and interspecific competition on species' responses to climate change.

Science.gov (United States)

Bocedi, Greta; Atkins, Katherine E; Liao, Jishan; Henry, Roslyn C; Travis, Justin M J; Hellmann, Jessica J

2013-09-01

Local adaptation and species interactions have been shown to affect geographic ranges; therefore, we need models of climate impact that include both factors. To identify possible dynamics of species when including these factors, we ran simulations of two competing species using an individual-based, coupled map-lattice model using a linear climatic gradient that varies across latitude and is warmed over time. Reproductive success is governed by an individual's adaptation to local climate as well as its location relative to global constraints. In exploratory experiments varying the strength of adaptation and competition, competition reduces genetic diversity and slows range change, although the two species can coexist in the absence of climate change and shift in the absence of competitors. We also found that one species can drive the other to extinction, sometimes long after climate change ends. Weak selection on local adaptation and poor dispersal ability also caused surfing of cooler-adapted phenotypes from the expanding margin backwards, causing loss of warmer-adapted phenotypes. Finally, geographic ranges can become disjointed, losing centrally-adapted genotypes. These initial results suggest that the interplay between local adaptation and interspecific competition can significantly influence species' responses to climate change, in a way that demands future research. © 2013 New York Academy of Sciences.

Localizing drought monitoring products to support agricultural climate service advisories in South Asia

Science.gov (United States)

Qamer, F. M.; Matin, M. A.; Yadav, N. K.; Bajracharya, B.; Zaitchik, B. F.; Ellenburg, W. L.; Krupnik, T. J.; Hussain, G.

2017-12-01

The Fifth Assessment Report of the Intergovernmental Panel on Climate Change identifies drought as one of the major climate risks in South Asia. During past two decades, a large amount of climate data have been made available by the scientific community, but the deployment of climate information for local level and agricultural decision making remains less than optimal. The provisioning of locally calibrated, easily accessible, decision-relevant and user-oriented information, in the form of drought advisory service could help to prepare communities to reduce climate vulnerability and increase resilience. A collaborative effort is now underway to strengthen existing and/or establish new drought monitoring and early warning systems in Afghanistan, Bangladesh, Nepal and Pakistan by incorporating standard ground-based observations, earth observation datasets, and numerical forecast models. ICT-based agriculture drought monitoring platforms, hosted at national agricultural and meteorological institutions, are being developed and coupled with communications and information deployment strategies to enable the rapid and efficient deployment of information that farmers can understand, interpret, and act on to adapt to anticipated droughts. Particular emphasis is being placed on the calibration and validation of data products through retrospective analysis of time series data, in addition to the installation of automatic weather station networks. In order to contextualize monitoring products to that they may be relevant for farmers' primary cropping systems, district level farming practices calendars are being compiled and validated through focus groups and surveys to identify the most important times and situations during which farmers can adapt to drought. High-resolution satellite crop distribution maps are under development and validation to add value to these efforts. This programme also aims to enhance capacity of agricultural extension staff to better understand

Incorporating Air Quality Improvement at a Local Level into Climate Policy in the Transport Sector: A Case Study in Bandung City, Indonesia

Directory of Open Access Journals (Sweden)

Helmi Gunawan

2017-06-01

Full Text Available Climate policy has a strong influence on policy processes at national levels in Indonesia, while other policies with a focus on air quality improvement are being implemented at local levels. Indonesia as a developing country has committed to reducing greenhouse gas (GHG emissions by 29 percent by the year 2030. This calls into question the extent to which cities and local governments can cope with the challenges of climate change mitigation. The purpose of the research is to find out the extent to which local air pollution reduction policies can contribute to the climate change mitigation program. The research design involved an empirical case study on governance and policy relevant to climate change efforts to lower GHG in Bandung City, Indonesia. The study evaluated the air quality improvement and the climate change mitigation programs using the actor-based framework of the Contextual Interaction Theory (CIT. The governance and stakeholder characteristic of climate change mitigation were also analysed using the structural context part of the CIT framework. The result shows that air quality improvement policy is implemented separately from climate policy; the latter operates at the national level and the former at the local level. By looking at the actor interaction analysis, the study concludes that a more holistic environmental policy approach would be more efficient at reducing local air pollution and contributing to the mitigation of climate change.

Presenting a Framework to Analyze Local Climate Policy and Action in Small and Medium-Sized Cities

NARCIS (Netherlands)

Hoppe, Thomas; van der Vegt, Arjen; Stegmaier, Peter

2016-01-01

Academic attention to local climate policy usually focuses on large-sized cities. Given the climate challenges ahead this seems unjustified. Small and medium-sized cities (SMCs) deserve scholarly attention as well. The main question is: What factors influence climate change policy and local climate

Local climate change policy in the United Kingdom and Germany

OpenAIRE

Bulkeley, Harriet; Kern, Kristine

2004-01-01

"For over a decade climate change has been considered one of the most significant political issues facing the international community. In order to address this challenge, attention needs to be focused not only at the international level of treaties and conventions, but also on how climate protection policy is taking shape at the local level. Germany and the UK have been leading countries for international action on climate change. However, the reductions in domestic emissions of greenhouse ga...

The Dutch Approach to Local Climate Action

International Nuclear Information System (INIS)

Schellekens, R.

2008-01-01

In the Netherlands we are working with municipalities on the subjects of RES and RUE for over 15 years now. Over the last 4 years we worked with 250 out of 430 municipalities on setting up and executing their local climate policies. For this there was a national climate covenant between the national government, the association of municipalities and the association of provinces. The municipalities and provinces were supported through a subsidy scheme and the help of SenterNovem. Products like the climate menu, the climate scan and an organisational assessment were developed to aid the municipalities in their process. Through involvement of different stake holders within the municipality or a region concerning the climate policy and the execution thereof, production of RES is stimulated and goals on energy saving are more likely to be reached. Through the involvement of stake holders and by making climate change an integral part of the municipal organisation an irreversible process is started. Thus economic competitiveness and innovations are stimulated. The municipality and the region will gain economic strength through this. Results in the Netherlands on a municipal level are inspiring. More and more municipalities are developing long-term strategies at the moment. Goals like energy neutrality, climate neutrality and CO 2 neutrality in a set year are usually the basis of these strategies. Through these strategies Dutch municipalities become increasingly less dependent on energy sources outside their boarders. On a European level the Dutch approach ties in with the Covenant of Mayors which is launched by the EU.(author)

Localizing Climate Information for Municipal Planning in the Central U.S.

Science.gov (United States)

Shulski, M.; Umphlett, N.; Abdel-Monem, T.; Tang, Z.; Uhlarik, F.

2017-12-01

The impacts of projected climate change are an ongoing concern for municipalities. Planning at the local level often involves investigations of multiple hazards on decadal timescales. Of particular interest to cities are implications of too much or too little water, snow storms, heat waves, and freeze/thaw cycles on infrastructure, health, energy demands and water quality and availability. A two-year project led by the University of Nebraska - Lincoln has brought together scientist and stakeholder for the purpose of informing municipal planning and climate adaptation for 12 cities in the lower Missouri River Basin states (IA, NE, KS, MO). City-specific climate reports have been developed with municipal input to aid local planning efforts. Surveys to assess municipal climate data usage were distributed to all cities with a population greater than 5,000 in the four-state region. In addition, planning efforts for 18 municipalities have been evaluated for nearly 20 cities in the region to investigate local hazard mitigation, emergency, and comprehensive plans. This presentation will outline key outcomes of the project and discuss decision support tools developed in co-production with city planners.

A local scale assessment of the climate change sensitivity of snow in Pyrenean ski resorts

Science.gov (United States)

Pesado, Cristina; Pons, Marc; Vilella, Marc; López-Moreno, Juan Ignacio

2016-04-01

The Pyrenees host one of the largest ski area in Europe after the Alps that encompasses the mountain area of the south of France, the north of Spain and the small country of Andorra. In this region, winter tourism is one of the main source of income and driving force of local development on these mountain communities. However, this activity was identified as one of the most vulnerable to a future climate change due to the projected decrease of natural snow and snowmaking capacity. However, within the same ski resorts different areas showed to have a very different vulnerability within the same resort based on the geographic features of the area and the technical management of the slopes. Different areas inside a same ski resort could have very different vulnerability to future climate change based on aspect, steepness or elevation. Furthermore, the technical management of ski resorts, such as snowmaking and grooming were identified to have a significant impact on the response of the snowpack in a warmer climate. In this line, two different ski resorts were deeply analyzed taken into account both local geographical features as well as the effect of the technical management of the runs. Principal Component Analysis was used to classify the main areas of the resort based on the geographic features (elevation, aspect and steepness) and identify the main representative areas with different local features. Snow energy and mass balance was simulated in the different representative areas using the Cold Regions Hydrological Model (CRHM) assuming different magnitudes of climate warming (increases of 2°C and 4°C in the mean winter temperature) both in natural conditions and assuming technical management of the slopes. Theses first results showed the different sensitivity and vulnerability to climate changes based on the local geography of the resort and the management of the ski runs, showing the importance to include these variables when analyzing the local vulnerability

E-participation and Climate Change in Europe: An analysis of local government practices

Directory of Open Access Journals (Sweden)

Ana Yetano

2013-10-01

Full Text Available Citizens are demanding greater transparency and accountability from their governments, and seek to participate in shaping the policies that affect their lives. The diffusion of the Internet has raised expectations that electronic tools may increase citizen participation in government decision-making and stop the decline of trust in political institutions. This paper brings together two relevant topics, e-participation and climate change, analyzing the websites of the environment departments of European local governments that have signed the Aalborg+10 commitments, in order to establish to what extent European local governments are making use of the Internet to promote e-participation and environmentally-friendly behaviors among their citizens. Our results show that the developments on e-participation are higher in transparency than interactivity. The Internet as a tool to revitalize the public sphere is still limited to those countries with higher levels of transparency, and penetration of ICTs and a culture of citizen engagement.

Global and Local Discourses on Climate Change: A Perspective from the Concept of Embeddedness

Directory of Open Access Journals (Sweden)

Jailab Kumar Rai

2011-04-01

Full Text Available Climate change has been becoming a major order of business of all including researchers and academics. This is known that global, national and local organizations, institutions and even the individuals are partaking into the issues with their own perspectives and skills of negotiations. Despite the series of international efforts and attempts, there are also a series of national concerns, efforts and attempts in combating against the effects of global climate change. This paper is an attempt to draw on the overview of contexts and concerns of international communities for combating global climate change and its discursive influence in national policy discourses. Moreover, the paper attempts to assess the local socio-cultural discourses and dynamics of climate change in relation to global and national discourses. Finally the paper highlights on how global and local climate change knowledge networks and epistemic communities either from political processes or the socio-economic fabrics are interrelated and determinant to each other. Keywords: climate change; discourses; embeddeness; dynamics; global; local DOI: 10.3126/dsaj.v4i0.4518 Dhaulagiri Journal of Sociology and Anthropology Vol.4 2010 pp.143-180

Adaptation to climate change at local level in Europe: An overview

NARCIS (Netherlands)

Aguiar, F.C.; Bentz, J.; Silva, J.M.N.; Fonseca, A.L.; Swart, R.J.; Santos, F.D.; Penha-Lopes, Gil

2018-01-01

Europe’s climate change vulnerability pushes for initiatives such as the European Adaptation Strategy and the associated Covenant of Mayors for Climate and Energy. What are the triggers and barriers, for which sectors and for which risks and how is adaptation funded? This paper examines 147 Local

Consistent economic cross-sectoral climate change impact scenario analysis: Method and application to Austria

Directory of Open Access Journals (Sweden)

Karl W. Steininger

2016-03-01

Full Text Available Climate change triggers manifold impacts at the national to local level, which in turn have various economy-wide implications (e.g. on welfare, employment, or tax revenues. In its response, society needs to prioritize which of these impacts to address and what share of resources to spend on each respective adaptation. A prerequisite to achieving that end is an economic impact analysis that is consistent across sectors and acknowledges intersectoral and economy-wide feedback effects. Traditional Integrated Assessment Models (IAMs are usually operating at a level too aggregated for this end, while bottom-up impact models most often are not fully comprehensive, focusing on only a subset of climate sensitive sectors and/or a subset of climate change impact chains. Thus, we develop here an approach which applies climate and socioeconomic scenario analysis, harmonized economic costing, and sector explicit bandwidth analysis in a coupled framework of eleven (biophysical impact assessment models and a uniform multi-sectoral computable general equilibrium model. In applying this approach to the alpine country of Austria, we find that macroeconomic feedbacks can magnify sectoral climate damages up to fourfold, or that by mid-century costs of climate change clearly outweigh benefits, with net costs rising two- to fourfold above current damage cost levels. The resulting specific impact information – differentiated by climate and economic drivers – can support sector-specific adaptation as well as adaptive capacity building. Keywords: climate impact, local impact, economic evaluation, adaptation

Study of Climate Change Impact to Local Rainfall Distribution in Lampung Provinces

Directory of Open Access Journals (Sweden)

Tumiar Katarina Manik

2016-08-01

Full Text Available Global warming which leads to climate change has potential affect to Indonesia agriculture activities and production. Analyzing rainfall pattern and distribution is important to investigate the impact of global climate change to local climate. This study using rainfall data from 1976-2010 from both lowland and upland area of Lampung Province. The results show that rainfall tends to decrease since the 1990s which related to the years with El Nino event. Monsoonal pattern- having rain and dry season- still excist in Lampung; however, since most rain fell below the average, it could not meet crops water need. Farmers conclude that dry seasons were longer and seasonal pattern has been changed. Global climate change might affect Lampung rainfall distribution through changes on sea surface temperature which could intensify the El Nino effect. Therefore, watching the El Nino phenomena and how global warming affects it, is important in predicting local climate especially the rainfall distribution in order to prevent significant loss in agriculture productivities.

Local Climate Heterogeneity Shapes Population Genetic Structure of Two Undifferentiated Insular Scutellaria Species.

Science.gov (United States)

Hsiung, Huan-Yi; Huang, Bing-Hong; Chang, Jui-Tse; Huang, Yao-Moan; Huang, Chih-Wei; Liao, Pei-Chun

2017-01-01

Spatial climate heterogeneity may not only affect adaptive gene frequencies but could also indirectly shape the genetic structure of neutral loci by impacting demographic dynamics. In this study, the effect of local climate on population genetic variation was tested in two phylogenetically close Scutellaria species in Taiwan. Scutellaria taipeiensis , which was originally assumed to be an endemic species of Taiwan Island, is shown to be part of the widespread species S. barbata based on the overlapping ranges of genetic variation and climatic niches as well as their morphological similarity. Rejection of the scenario of "early divergence with secondary contact" and the support for multiple origins of populations of S. taipeiensis from S. barbata provide strong evolutionary evidence for a taxonomic revision of the species combination. Further tests of a climatic effect on genetic variation were conducted. Regression analyses show nonlinear correlations among any pair of geographic, climatic, and genetic distances. However, significantly, the bioclimatic variables that represent the precipitation from late summer to early autumn explain roughly 13% of the genetic variation of our sampled populations. These results indicate that spatial differences of precipitation in the typhoon season may influence the regeneration rate and colonization rate of local populations. The periodic typhoon episodes explain the significant but nonlinear influence of climatic variables on population genetic differentiation. Although, the climatic difference does not lead to species divergence, the local climate variability indeed impacts the spatial genetic distribution at the population level.

Presenting a framework to analyze local climate policy and action in small and medium-sized cities

NARCIS (Netherlands)

Hoppe, T.; van der Vegt, Arjen; Stegmaier, Peter

2016-01-01

Academic attention to local climate policy usually focuses on large-sized cities. Given the climate challenges ahead this seems unjustified. Small and medium-sized cities (SMCs) deserve scholarly attention as well. The main question is: What factors influence climate change policy and local

Rapid adjustment of bird community compositions to local climatic variations and its functional consequences.

Science.gov (United States)

Gaüzère, Pierre; Jiguet, Frédéric; Devictor, Vincent

2015-09-01

The local spatial congruence between climate changes and community changes has rarely been studied over large areas. We proposed one of the first comprehensive frameworks tracking local changes in community composition related to climate changes. First, we investigated whether and how 12 years of changes in the local composition of bird communities were related to local climate variations. Then, we tested the consequences of this climate-induced adjustment of communities on Grinnellian (habitat-related) and Eltonian (function-related) homogenization. A standardized protocol monitoring spatial and temporal trends of birds over France from 2001 to 2012 was used. For each plot and each year, we used the spring temperature and the spring precipitations and calculated three indices reflecting the thermal niche, the habitat specialization, and the functional originality of the species within a community. We then used a moving-window approach to estimate the spatial distribution of the temporal trends in each of these indices and their congruency with local climatic variations. Temperature fluctuations and community dynamics were found to be highly variable in space, but their variations were finely congruent. More interestingly, the community adjustment to temperature variations was nonmonotonous. Instead, unexplained fluctuations in community composition were observed up to a certain threshold of climate change intensity, above which a change in community composition was observed. This shift corresponded to a significant decrease in the relative abundance of habitat specialists and functionally original species within communities, regardless of the direction of temperature change. The investigation of variations in climate and community responses appears to be a central step toward a better understanding of climate change effects on biodiversity. Our results suggest a fine-scale and short-term adjustment of community composition to temperature changes. Moreover

Climate Change Adaptation in Dutch Local Communities. Risk Perception, Institutional Capacity and the Role of Local Government.

NARCIS (Netherlands)

van den Berg, Maya Marieke

2010-01-01

This report explains the outcomes of the research project Analysing local climate vulnerability and local adaptation strategies which was carried out from 2005 up till 2009 at the Twente Centre for Studies in Technology and Sustainable Development (CSTM), University of Twente. This project is funded

Climate Informed Low Flow Frequency Analysis Using Nonstationary Modeling

Science.gov (United States)

Liu, D.; Guo, S.; Lian, Y.

2014-12-01

Stationarity is often assumed for frequency analysis of low flows in water resources management and planning. However, many studies have shown that flow characteristics, particularly the frequency spectrum of extreme hydrologic events,were modified by climate change and human activities and the conventional frequency analysis without considering the non-stationary characteristics may lead to costly design. The analysis presented in this paper was based on the more than 100 years of daily flow data from the Yichang gaging station 44 kilometers downstream of the Three Gorges Dam. The Mann-Kendall trend test under the scaling hypothesis showed that the annual low flows had significant monotonic trend, whereas an abrupt change point was identified in 1936 by the Pettitt test. The climate informed low flow frequency analysis and the divided and combined method are employed to account for the impacts from related climate variables and the nonstationarities in annual low flows. Without prior knowledge of the probability density function for the gaging station, six distribution functions including the Generalized Extreme Values (GEV), Pearson Type III, Gumbel, Gamma, Lognormal, and Weibull distributions have been tested to find the best fit, in which the local likelihood method is used to estimate the parameters. Analyses show that GEV had the best fit for the observed low flows. This study has also shown that the climate informed low flow frequency analysis is able to exploit the link between climate indices and low flows, which would account for the dynamic feature for reservoir management and provide more accurate and reliable designs for infrastructure and water supply.

Act locally, trade globally. Emissions trading for climate policy

Energy Technology Data Exchange (ETDEWEB)

none

2005-07-01

Climate policy raises a number of challenges for the energy sector, the most significant being the transition from a high to a low-CO2 energy path in a few decades. Emissions trading has become the instrument of choice to help manage the cost of this transition, whether used at international or at domestic level. Act Locally, Trade Globally, offers an overview of existing trading systems, their mechanisms, and looks into the future of the instrument for limiting greenhouse gas emissions. Are current markets likely to be as efficient as the theory predicts? What is, if any, the role of governments in these markets? Can domestic emissions trading systems be broadened to activities other than large stationary energy uses? Can international emissions trading accommodate potentially diverse types of emissions targets and widely different energy realities across countries? Are there hurdles to linking emissions trading systems based on various design features? Can emissions trading carry the entire burden of climate policy, or will other policy instruments remain necessary? In answering these questions, Act Locally, Trade Globally seeks to provide a complete picture of the future role of emissions trading in climate policy and the energy sector.

Integrating scientific and local knowledge to inform risk-based management approaches for climate adaptation

Directory of Open Access Journals (Sweden)

Nathan P. Kettle

2014-01-01

Full Text Available Risk-based management approaches to climate adaptation depend on the assessment of potential threats, and their causes, vulnerabilities, and impacts. The refinement of these approaches relies heavily on detailed local knowledge of places and priorities, such as infrastructure, governance structures, and socio-economic conditions, as well as scientific understanding of climate projections and trends. Developing processes that integrate local and scientific knowledge will enhance the value of risk-based management approaches, facilitate group learning and planning processes, and support the capacity of communities to prepare for change. This study uses the Vulnerability, Consequences, and Adaptation Planning Scenarios (VCAPS process, a form of analytic-deliberative dialogue, and the conceptual frameworks of hazard management and climate vulnerability, to integrate scientific and local knowledge. We worked with local government staff in an urbanized barrier island community (Sullivan’s Island, South Carolina to consider climate risks, impacts, and adaptation challenges associated with sea level rise and wastewater and stormwater management. The findings discuss how the process increases understanding of town officials’ views of risks and climate change impacts to barrier islands, the management actions being considered to address of the multiple impacts of concern, and the local tradeoffs and challenges in adaptation planning. We also comment on group learning and specific adaptation tasks, strategies, and needs identified.

Implementation of local climate action plans

DEFF Research Database (Denmark)

Damsø, Tue Noa Jacques; Kjær, Tyge; Christensen, Thomas Budde

2017-01-01

The purpose of this article is to improve understanding of local climate action plans and their implementation and evaluation. It explores how goal definition and the choice of assessment metrics frame goal attainment and influence implementation behaviour. Using the Danish capital of Copenhagen...... a high overall implementation performance, both in terms of changes in energy supply and emission reductions, these metrics are only partially linked. It also shows that inconsistencies between the system scope of the base year emissions and goal attainment, due to the use of offsetting, may lead...

Adaptation to Climate Change in Risk and Vulnerability Analysis on a Municipal Level, a basis for further work

International Nuclear Information System (INIS)

Mossberg Sonnek, Karin; Lindberg, Anna; Lindgren, Johan

2007-12-01

The aim of Risk and Vulnerability Analysis (RVA) at local authority level in Sweden is to increase the capacity of local authorities to handle crises and to reduce vulnerability in the community. RVA processes could be an appropriate starting-point for discussions on how the community is influenced by climate change and how its effects could be reduced using various adjustment measures. In the report we present four methods: ROSA, MVA, IBERO and the Car Dun AB method. These have all been developed to support Swedish local authority RVA processes. We also present five international frameworks that have been developed by the organisations UNDP, USAID, UKCIP, C-CIARN and CSIRO to help decision-makers and stakeholders to adapt to climate change. Together, these descriptions form a foundation for continuing the work being done within the project Climatools, in which tools are being produced to be used by local authorities in adapting to climate change. In the report, we also discuss the concepts 'risk', 'vulnerability' and 'adaptation' and how analysis of adaptation to climate change has changed in recent years

Re-framing climate issue by listening to local actors: elements of propaedeutics

International Nuclear Information System (INIS)

Bredif, Herve; Bertrand, Francois; Tabeaud, Martine

2015-01-01

The disappointing outcomes of international negotiations on climate change are frequently associated with inaction and the consequences of a perceived disconnection between science and politics. However, our experiences and empirical findings based on research carried out in France in highly diverse situations and among very different operators invalidate this thesis. By analysing climate change from the standpoint of territories and local adaptation and mitigation strategies, our article contends that the problem stems instead from a still insufficient fit between local and global levels of expertise and action frameworks. Moreover, we also need to analyse climate change from a new angle and recognise its dual nature in material and objective terms as well as in its cultural, symbolic and subjective components

Local farmers' perceptions of climate change and local adaptive strategies: a case study from the Middle Yarlung Zangbo River Valley, Tibet, China.

Science.gov (United States)

Li, Chunyan; Tang, Ya; Luo, Han; Di, Baofeng; Zhang, Liyun

2013-10-01

Climate change affects the productivity of agricultural ecosystems. Farmers cope with climate change based on their perceptions of changing climate patterns. Using a case study from the Middle Yarlung Zangbo River Valley, we present a new research framework that uses questionnaire and interview methods to compare local farmers' perceptions of climate change with the adaptive farming strategies they adopt. Most farmers in the valley believed that temperatures had increased in the last 30 years but did not note any changes in precipitation. Most farmers also reported sowing and harvesting hulless barley 10-15 days earlier than they were 20 years ago. In addition, farmers observed that plants were flowering and river ice was melting earlier in the season, but they did not perceive changes in plant germination, herbaceous vegetation growth, or other spring seasonal events. Most farmers noticed an extended fall season signified by delays in the freezing of rivers and an extended growing season for grassland vegetation. The study results showed that agricultural practices in the study area are still traditional; that is, local farmers' perceptions of climate change and their strategies to mitigate its impacts were based on indigenous knowledge and their own experiences. Adaptive strategies included adjusting planting and harvesting dates, changing crop species, and improving irrigation infrastructure. However, the farmers' decisions could not be fully attributed to their concerns about climate change. Local farming systems exhibit high adaptability to climate variability. Additionally, off-farm income has reduced the dependence of the farmers on agriculture, and an agricultural subsidy from the Chinese Central Government has mitigated the farmers' vulnerability. Nevertheless, it remains necessary for local farmers to build a system of adaptive climate change strategies that combines traditional experience and indigenous knowledge with scientific research and

Seven Steps in Identifying Local Climate Change Responses for Agriculture in Vietnam

NARCIS (Netherlands)

Bosma, R.H.; Ngo, An T.; Huynh, Chuong V.; Le, Huong T.; Dang, Nhan K.; Van, Tri P.D.; Halsema, van G.E.

2016-01-01

This study presents a seven-step approach to identify and support local climate change (CC) responses in agriculture. The following seven steps comprise this approach: 1. Analyse past trends on the climatic factors and model the future trends. 2. Simulate the possible impacts of CC on the selected

Impacts of the Three Gorges Project on Local Climate

Science.gov (United States)

Song, Z.; Liang, S.; Feng, L.

2015-12-01

Three Gorges Project (TGP) is the largest hydroelectric project in the world and has led to significant land cover changes in Three Gorges Reservoir Area (TGRA). Since its construction the debates on its environmental and climatic impacts have never stopped, especially after the extreme drought and flood in Yangtze River Basin these years. TGP reached its final impounding water level in 2010. However, studies on systematically monitoring the long-term variations in surface and atmospheric parameters in TGRA are still lacking. In this study, three important surface parameters - surface albedo, land surface temperature (LST) and evapotranspiration (ET) and two climatic parameters - air temperature and precipitation were investigated from 2000 to 2013 by combining multiple remote sensing data and ground measurements. Results showed that along the reservoir albedo decreased significantly as a result of water impounding. Correspondingly, in the same region daytime LST decreased in spring and summer and nighttime LST increased in autumn and winter. In the western region of TGRA, albedo increased due to resettlement and LST also changed. The average ET increased by 20% in TGR but kept stable in the whole TGRA. In contrast to LST, air temperature showed less apparent spatial and temporal variability. Only in the region near the dam air temperature experienced a decrease at daytime and an increase at nighttime. Further analysis demonstrated precipitation revealed no apparent changes in TGRA and the precipitation anomaly in northwest of TGRA may not be connected with TGP. All of the findings provide a more substantial clues of local climate change caused by TGP.

Strong contributions of local background climate to urban heat islands

Science.gov (United States)

Zhao, Lei; Lee, Xuhui; Smith, Ronald B.; Oleson, Keith

2014-07-01

The urban heat island (UHI), a common phenomenon in which surface temperatures are higher in urban areas than in surrounding rural areas, represents one of the most significant human-induced changes to Earth's surface climate. Even though they are localized hotspots in the landscape, UHIs have a profound impact on the lives of urban residents, who comprise more than half of the world's population. A barrier to UHI mitigation is the lack of quantitative attribution of the various contributions to UHI intensity (expressed as the temperature difference between urban and rural areas, ΔT). A common perception is that reduction in evaporative cooling in urban land is the dominant driver of ΔT (ref. 5). Here we use a climate model to show that, for cities across North America, geographic variations in daytime ΔT are largely explained by variations in the efficiency with which urban and rural areas convect heat to the lower atmosphere. If urban areas are aerodynamically smoother than surrounding rural areas, urban heat dissipation is relatively less efficient and urban warming occurs (and vice versa). This convection effect depends on the local background climate, increasing daytime ΔT by 3.0 +/- 0.3 kelvin (mean and standard error) in humid climates but decreasing ΔT by 1.5 +/- 0.2 kelvin in dry climates. In the humid eastern United States, there is evidence of higher ΔT in drier years. These relationships imply that UHIs will exacerbate heatwave stress on human health in wet climates where high temperature effects are already compounded by high air humidity and in drier years when positive temperature anomalies may be reinforced by a precipitation-temperature feedback. Our results support albedo management as a viable means of reducing ΔT on large scales.

Climate change perceptions and local adaptation strategies of hazard-prone rural households in Bangladesh

Directory of Open Access Journals (Sweden)

G.M. Monirul Alam

2017-01-01

Full Text Available Adaptation is a key strategy that can alleviate the severity of climate change impacts on agriculture and food production. Adaptation strategies are unlikely to be effective without an understanding of the farmers’ perceptions of climate change. This paper explores the local knowledge of adaptation in response to the perceived impacts of climate change and climatic hazards using a survey of 380 resource-poor riverbank erosion-prone households in Bangladesh. The results indicate that the respondents’ perceptions of changes in the climate and of extreme climatic events are similar to the observed climate data. Households have recognized the impacts on their livelihood and resources, resulting in an increased sense of vulnerability. To build resilience, households have undertaken a range of farming and non-farming adaptation strategies, which vary significantly among the farming groups. The important adaptation strategies include adopting new crop varieties, changing planting time, homestead gardening, planting trees and migration. Improved access to finance and to information about appropriate strategies appears to be crucial to support adaptation processes locally and thus to enhance the resilience of vulnerable households.

Municipal climate protection. Possibilities for local governments; Kommunaler Klimaschutz. Moeglichkeiten fuer die Kommunen

Energy Technology Data Exchange (ETDEWEB)

NONE

2011-01-15

Climate protection is an important aspect of our time. The Federal Government recognized the central role of climate protection. This is reflected in the energy concept, adopted in September 2010. The booklet under consideration published regarding to the amendment of municipal guideline and is a reprint of a previously published paper on local climate protection. Besides conceptual contributions, this brochure provides practical examples of adaptation strategies to climate change, innovative ideas such as the project 'Coaching municipal climate protection' and the presentation of a network of '100 % Renewable Energy Regions'.

Is climate change a threat for water uses in the Mediterranean region? Results from a survey at local scale.

Science.gov (United States)

La Jeunesse, I; Cirelli, C; Aubin, D; Larrue, C; Sellami, H; Afifi, S; Bellin, A; Benabdallah, S; Bird, D N; Deidda, R; Dettori, M; Engin, G; Herrmann, F; Ludwig, R; Mabrouk, B; Majone, B; Paniconi, C; Soddu, A

2016-02-01

Water scarcity and water security are linked, not only through the direct effects of water shortages on each water users' access to water, but also because of water conflicts generated. Climate change is predicted to raise temperatures in the Mediterranean region and reduce rainfall, leading to a reduction in water yield and possibly worsening the situation of water resource shortages that Mediterranean regions are already experiencing. In its dissemination strategy, the EU FP7 CLIMB project addressed water security threats through an analysis of water uses and water use rivalries within a few target catchments distributed over the Mediterranean region. The present work explores whether climate change is locally perceived by stakeholders (water users and managers) as a key issue for their water uses and water security. Individual interviews, meetings, and compilation of questionnaires were conducted at five sites located in the Mediterranean region. The methodology permitted an analysis of water use and its evolution in the water management context, an identification of the state of awareness of local stakeholders and of the pressures on water use and water use rivalries, and a prioritization of water uses. Currently, the main response to increasing water demand in the Mediterranean region, while not yet considering climate change as a driving force, is a progressive externalization of water resources, with limits represented by national borders and technological possibilities. Overall, 'climate change' was not mentioned by stakeholders during both interviews and in answers to the questionnaires. Even the prospect of decreasing precipitation was not considered a relevant or threatening issue in the coming 20years. This confirms the need to continue all efforts to disseminate the state of knowledge on climate change impacts in the Mediterranean region, such as water scarcity, especially to local water managers, as initiated by various research programs of the

The evolving local social contract for managing climate and disaster risk in Vietnam.

Science.gov (United States)

Christoplos, Ian; Ngoan, Le Duc; Sen, Le Thi Hoa; Huong, Nguyen Thi Thanh; Lindegaard, Lily Salloum

2017-07-01

How do disasters shape local government legitimacy in relation to managing climate- and disaster-related risks? This paper looks at how local authorities in Central Vietnam perceive their social contract for risk reduction, including the partial merging of responsibilities for disaster risk management with new plans for and investments in climate change adaptation and broader socioeconomic development. The findings indicate that extreme floods and storms constitute critical junctures that stimulate genuine institutional change. Local officials are proud of their strengthened role in disaster response and they are eager to boost investment in infrastructure. They have struggled to reinforce their legitimacy among their constituents, but given the shifting roles of the state, private sector, and civil society, and the undiminished emphasis on high-risk development models, their responsibilities for responding to emerging climate change scenarios are increasingly nebulous. The past basis for legitimacy is no longer valid, but tomorrow's social contract is not yet defined. © 2017 The Author(s). Disasters © Overseas Development Institute, 2017.

Global and local concerns: what attitudes and beliefs motivate farmers to mitigate and adapt to climate change?

Science.gov (United States)

Haden, Van R; Niles, Meredith T; Lubell, Mark; Perlman, Joshua; Jackson, Louise E

2012-01-01

In response to agriculture's vulnerability and contribution to climate change, many governments are developing initiatives that promote the adoption of mitigation and adaptation practices among farmers. Since most climate policies affecting agriculture rely on voluntary efforts by individual farmers, success requires a sound understanding of the factors that motivate farmers to change practices. Recent evidence suggests that past experience with the effects of climate change and the psychological distance associated with people's concern for global and local impacts can influence environmental behavior. Here we surveyed farmers in a representative rural county in California's Central Valley to examine how their intention to adopt mitigation and adaptation practices is influenced by previous climate experiences and their global and local concerns about climate change. Perceived changes in water availability had significant effects on farmers' intention to adopt mitigation and adaptation strategies, which were mediated through global and local concerns respectively. This suggests that mitigation is largely motivated by psychologically distant concerns and beliefs about climate change, while adaptation is driven by psychologically proximate concerns for local impacts. This match between attitudes and behaviors according to the psychological distance at which they are cognitively construed indicates that policy and outreach initiatives may benefit by framing climate impacts and behavioral goals concordantly; either in a global context for mitigation or a local context for adaptation.

Local climate activities in co-operation between municipality, civil society and science shop

DEFF Research Database (Denmark)

Jørgensen, Michael Søgaard

The Science Shop at DTU co-operates with the local municipal administration and the local branch of an environmental NGO about climate change. The co-operation was initiated by a proposal to the Science Shop from the municipal administration. Since the Science Shop requests civil society...... involvement in projects it was proposed to involve the local branch of the environmental NGO. The starting point was topics developed by the administration and the NGO together and announced to students as part of the Science Shop project supply. The focus is climate impact of local activities and strategies...... are initiated and co-ordinated by a group with members from municipal administration, the local NGO and the Science Shop. All projects have involved student projects, but most projects have also contributed to ongoing research activities. The projects up till now have focused on the municipal food supply...

Effects of local and large-scale climate patterns on estuarine resident fishes: The example of Pomatoschistus microps and Pomatoschistus minutus

Science.gov (United States)

Nyitrai, Daniel; Martinho, Filipe; Dolbeth, Marina; Rito, João; Pardal, Miguel A.

2013-12-01

Large-scale and local climate patterns are known to influence several aspects of the life cycle of marine fish. In this paper, we used a 9-year database (2003-2011) to analyse the populations of two estuarine resident fishes, Pomatoschistus microps and Pomatoschistus minutus, in order to determine their relationships with varying environmental stressors operating over local and large scales. This study was performed in the Mondego estuary, Portugal. Firstly, the variations in abundance, growth, population structure and secondary production were evaluated. These species appeared in high densities in the beginning of the study period, with subsequent occasional high annual density peaks, while their secondary production was lower in dry years. The relationships between yearly fish abundance and the environmental variables were evaluated separately for both species using Spearman correlation analysis, considering the yearly abundance peaks for the whole population, juveniles and adults. Among the local climate patterns, precipitation, river runoff, salinity and temperature were used in the analyses, and North Atlantic Oscillation (NAO) index and sea surface temperature (SST) were tested as large-scale factors. For P. microps, precipitation and NAO were the significant factors explaining abundance of the whole population, the adults and the juveniles as well. Regarding P. minutus, for the whole population, juveniles and adults river runoff was the significant predictor. The results for both species suggest a differential influence of climate patterns on the various life cycle stages, confirming also the importance of estuarine resident fishes as indicators of changes in local and large-scale climate patterns, related to global climate change.

Butterfly effect: understanding and mitigating the local consequences of climate change impacts

International Nuclear Information System (INIS)

Lorenz, Donna

2007-01-01

Full text: The Butterfly Effect is the notion that tiny differences in initial conditions are amplified in the evolution of a dynamic system and directly affect the eventual outcome. In 1963 mathematician and meteorologist Edward Lorenz proposed that the flapping of a butterfly's wing would cause a disturbance that becomes exponentially amplified so as to eventually affect large-scale atmospheric motion. This was to illustrate the 'sensitive dependence on initial conditions'; sensitivity also true in affecting the extent of damages experienced as a result of climate change. In a climate change context, The Butterfly Effect suggests the local consequences of climate change impacts will depend on their interaction with the economic, environmental, institutional, technological and demographic attributes unique to a city or region. It is this mix of factors that will determine the extent, both positively and negatively, to which climate change will be experienced locally. For a truly effective climate change response, it is imperative that regional risk assessments and adaptation strategies take into account not only the projected impacts but the full range of flow-on implications of those impacts and their sensitivity factors. Understanding of the sensitivity factors that will amplify or mitigate climate change impacts and implications enables government and business leaders to calculate the likely extent of localised damages if no adaptation is undertaken. This allows industries and communities to evaluate the likely significance of a particular impact and to consider how to adjust or counter the sensitivity factor to build resilience and reduce vulnerability. Thus, it also assists in the local prioritisation of issues and responses. Such a strategic response can also mean the required adaptation measures may be less extensive and thereby require less cost and time to implement. This paper discusses the flow-on implications of Australia's projected climate change

Local Variability Mediates Vulnerability of Trout Populations to Land Use and Climate Change.

Directory of Open Access Journals (Sweden)

Brooke E Penaluna

Full Text Available Land use and climate change occur simultaneously around the globe. Fully understanding their separate and combined effects requires a mechanistic understanding at the local scale where their effects are ultimately realized. Here we applied an individual-based model of fish population dynamics to evaluate the role of local stream variability in modifying responses of Coastal Cutthroat Trout (Oncorhynchus clarkii clarkii to scenarios simulating identical changes in temperature and stream flows linked to forest harvest, climate change, and their combined effects over six decades. We parameterized the model for four neighboring streams located in a forested headwater catchment in northwestern Oregon, USA with multi-year, daily measurements of stream temperature, flow, and turbidity (2007-2011, and field measurements of both instream habitat structure and three years of annual trout population estimates. Model simulations revealed that variability in habitat conditions among streams (depth, available habitat mediated the effects of forest harvest and climate change. Net effects for most simulated trout responses were different from or less than the sum of their separate scenarios. In some cases, forest harvest countered the effects of climate change through increased summer flow. Climate change most strongly influenced trout (earlier fry emergence, reductions in biomass of older trout, increased biomass of young-of-year, but these changes did not consistently translate into reductions in biomass over time. Forest harvest, in contrast, produced fewer and less consistent responses in trout. Earlier fry emergence driven by climate change was the most consistent simulated response, whereas survival, growth, and biomass were inconsistent. Overall our findings indicate a host of local processes can strongly influence how populations respond to broad scale effects of land use and climate change.

Barriers in Local Climate Change Adaptation Planning in Nepal

Czech Academy of Sciences Publication Activity Database

Dhungana, N.; Chiranjeewee, Khadka; Bhatta, B. P.; Regmi, S.

2017-01-01

Roč. 62, jun (2017), s. 20-24 ISSN 2224-3240 Institutional support: RVO:67179843 Keywords : Local Adaptation Plan for Action Framework * Barriers * Climate Change Adaptation * Village Development Committees Subject RIV: EH - Ecology, Behaviour OBOR OECD: Environmental sciences (social aspects to be 5.7) http://www.iiste.org/Journals/index.php/JLPG/article/view/37535

Urban local climate zone mapping and apply in urban environment study

Science.gov (United States)

He, Shan; Zhang, Yunwei; Zhang, Jili

2018-02-01

The city’s local climate zone (LCZ) was considered to be a powerful tool for urban climate mapping. But for cities in different countries and regions, the LCZ division methods and results were different, thus targeted researches should be performed. In the current work, a LCZ mapping method was proposed, which is convenient in operation and city planning oriented. In this proposed method, the local climate zoning types were adjusted firstly, according to the characteristics of Chinese city, that more tall buildings and high density. Then the classification method proposed by WUDAPT based on remote sensing data was performed on Xi’an city, as an example, for LCZ mapping. Combined with the city road network, a reasonable expression of the dividing results was provided, to adapt to the characteristics in city planning that land parcels are usually recognized as the basic unit. The proposed method was validated against the actual land use and construction data that surveyed in Xi’an, with results indicating the feasibility of the proposed method for urban LCZ mapping in China.

Climate change perceptions and local adaptation strategies of hazard-prone rural households in Bangladesh

OpenAIRE

G.M. Monirul Alam; Khorshed Alam; Shahbaz Mushtaq

2017-01-01

Adaptation is a key strategy that can alleviate the severity of climate change impacts on agriculture and food production. Adaptation strategies are unlikely to be effective without an understanding of the farmers’ perceptions of climate change. This paper explores the local knowledge of adaptation in response to the perceived impacts of climate change and climatic hazards using a survey of 380 resource-poor riverbank erosion-prone households in Bangladesh. The results indicate that the respo...

Governing Carbon Mitigation and Climate Change within Local Councils: A Case Study of Adelaide, South Australia

Directory of Open Access Journals (Sweden)

Heather Zeppel

2012-08-01

Full Text Available There is growing concern about climate change impacts on local government areas. In Australia, the federal carbon tax (from 1 July 2012 will also increase costs for local councils. This paper evaluates what carbon mitigation (i.e. energy, water, and waste management actions have been implemented by metropolitan Adelaide councils (n=14 and why (or why not. A survey of environmental officers profiled carbon mitigation actions, emissions auditing, and motives for emissions reduction by Adelaide councils. The main reasons for adopting carbon actions were a climate change plan, climate leadership, and cost savings. Internal council governance of climate change actions was also evaluated. A climate governance framework based on adaptive management, communication, and reflective practice (Nursey-Bray 2010 was applied to assess climate mitigation by Adelaide councils.

IN SITU COMPARISON OF TREE-RING RESPONSES TO CLIMATE AND POPULATION GENETICS: THE NEED TO CONTROL FOR LOCAL CLIMATE AND SITE VARIABLES

Directory of Open Access Journals (Sweden)

Johann Mathias Housset

2016-10-01

Full Text Available Tree species responses to climate change will be greatly influenced by their evolutionary potential and their phenotypic plasticity. Investigating tree-rings responses to climate and population genetics at the regional scale is therefore crucial in assessing the tree behaviour to climate change. This study combined in situ dendroclimatology and population genetics over a latitudinal gradient and compared the variations between the two at the intra- and inter-population levels. This approach was applied on the northern marginal populations of Thuja occidentalis (eastern white-cedar in the Canadian boreal forest. We aimed first to assess the radial growth variability (response functional trait within populations across the gradient and to compare it with the genetic diversity (microsatellites. Second, we investigated the variability in the growth response to climate at the regional scale through the radial growth-climate relationships, and tested its correlation with environmental variables and population genetic structure. Model selection based on the Akaike Information Criteria revealed that the growth synchronicity between pairs of trees of a population covariates with both the genetic diversity of this population and the amount of precipitation (inverse correlation, although these variables only explained a small fraction of the observed variance. At the regional scale, variance partitioning and partial redundancy analysis indicate that the growth response to climate was greatly modulated by stand environmental variables, suggesting predominant plastic variations in growth-response to climate. Combining in situ dendroclimatology and population genetics is a promising way to investigate species’ response capacity to climate change in natural stands. We stress the need to control for local climate and site conditions effects on dendroclimatic response to climate to avoid misleading conclusions regarding the associations with genetic variables.

Policy integration, coherence and governance in Dutch climate policy : a multi-level analysis of mitigation and adoption policy

NARCIS (Netherlands)

Bommel, van S.; Kuindersma, W.

2008-01-01

This report assesses the integration of climate policy in Dutch public policy at the national, regional, local and area level. The national analysis focuses on the horizontal integration of climate policy in national government programmes, adaptation and mitigation strategies and specific policy

Climate Local Information over the Mediterranean to Respond User Needs

Science.gov (United States)

Ruti, P.

2012-12-01

CLIM-RUN aims at developing a protocol for applying new methodologies and improved modeling and downscaling tools for the provision of adequate climate information at regional to local scale that is relevant to and usable by different sectors of society (policymakers, industry, cities, etc.). Differently from current approaches, CLIM-RUN will develop a bottom-up protocol directly involving stakeholders early in the process with the aim of identifying well defined needs at the regional to local scale. The improved modeling and downscaling tools will then be used to optimally respond to these specific needs. The protocol is assessed by application to relevant case studies involving interdependent sectors, primarily tourism and energy, and natural hazards (wild fires) for representative target areas (mountainous regions, coastal areas, islands). The region of interest for the project is the Greater Mediterranean area, which is particularly important for two reasons. First, the Mediterranean is a recognized climate change hot-spot, i.e. a region particularly sensitive and vulnerable to global warming. Second, while a number of countries in Central and Northern Europe have already in place well developed climate service networks (e.g. the United Kingdom and Germany), no such network is available in the Mediterranean. CLIM-RUN is thus also intended to provide the seed for the formation of a Mediterranean basin-side climate service network which would eventually converge into a pan-European network. The general time horizon of interest for the project is the future period 2010-2050, a time horizon that encompasses the contributions of both inter-decadal variability and greenhouse-forced climate change. In particular, this time horizon places CLIM-RUN within the context of a new emerging area of research, that of decadal prediction, which will provide a strong potential for novel research.

The American Climate Prospectus: a risk-centered analysis of the economic impacts of climate change

Science.gov (United States)

Jina, A.; Houser, T.; Hsiang, S. M.; Kopp, R. E., III; Delgado, M.; Larsen, K.; Mohan, S.; Rasmussen, D.; Rising, J.; Wilson, P. S.; Muir-Wood, R.

2014-12-01

The American Climate Prospectus (ACP), the analysis underlying the Risky Business project, quantitatively assessed the climate risks posed to the United States' economy in six sectors - crop yields, energy demand, coastal property, crime, labor productivity, and mortality [1]. The ACP is unique in its characterization of the full probability distribution of economic impacts of climate change throughout the 21st century, making it an extremely useful basis for risk assessments. Three key innovations allow for this characterization. First, climate projections from CMIP5 models are scaled to a temperature probability distribution derived from a coarser climate model (MAGICC). This allows a more accurate representation of the whole distribution of future climates (in particular the tails) than a simple ensemble average. These are downscaled both temporally and spatially. Second, a set of local sea level rise and tropical cyclone projections are used in conjunction with the most detailed dataset of coastal property in the US in order to capture the risks of rising seas and storm surge. Third, we base many of our sectors on empirically-derived responses to temperature and precipitation. Each of these dose-response functions is resampled many times to populate a statistical distribution. Combining these with uncertainty in emissions scenario, climate model, and weather, we create the full probability distribution of climate impacts from county up to national levels, as well as model the effects upon the economy as a whole. Results are presented as likelihood ranges, as well as changes to return intervals of extreme events. The ACP analysis allows us to compare between sectors to understand the magnitude of required policy responses, and also to identify risks through time. Many sectors displaying large impacts at the end of the century, like those of mortality, have smaller changes in the near-term, due to non-linearities in the response functions. Other sectors, like

Can Perceptions of Environmental and Climate Change in Island Communities Assist in Adaptation Planning Locally?

Science.gov (United States)

Aswani, Shankar; Vaccaro, Ismael; Abernethy, Kirsten; Albert, Simon; de Pablo, Javier Fernández-López

2015-12-01

Local perceptions of environmental and climate change, as well as associated adaptations made by local populations, are fundamental for designing comprehensive and inclusive mitigation and adaptation plans both locally and nationally. In this paper, we analyze people's perceptions of environmental and climate-related transformations in communities across the Western Solomon Islands through ethnographic and geospatial methods. Specifically, we documented people's observed changes over the past decades across various environmental domains, and for each change, we asked respondents to identify the causes, timing, and people's adaptive responses. We also incorporated this information into a geographical information system database to produce broad-scale base maps of local perceptions of environmental change. Results suggest that people detected changes that tended to be acute (e.g., water clarity, logging intensity, and agricultural diseases). We inferred from these results that most local observations of and adaptations to change were related to parts of environment/ecosystem that are most directly or indirectly related to harvesting strategies. On the other hand, people were less aware of slower insidious/chronic changes identified by scientific studies. For the Solomon Islands and similar contexts in the insular tropics, a broader anticipatory adaptation planning strategy to climate change should include a mix of local scientific studies and local observations of ongoing ecological changes.

Architecture of the local spatial data infrastructure for regional climate change research

Science.gov (United States)

Titov, Alexander; Gordov, Evgeny

2013-04-01

Georeferenced datasets (meteorological databases, modeling and reanalysis results, etc.) are actively used in modeling and analysis of climate change for various spatial and temporal scales. Due to inherent heterogeneity of environmental datasets as well as their size which might constitute up to tens terabytes for a single dataset studies in the area of climate and environmental change require a special software support based on SDI approach. A dedicated architecture of the local spatial data infrastructure aiming at regional climate change analysis using modern web mapping technologies is presented. Geoportal is a key element of any SDI, allowing searching of geoinformation resources (datasets and services) using metadata catalogs, producing geospatial data selections by their parameters (data access functionality) as well as managing services and applications of cartographical visualization. It should be noted that due to objective reasons such as big dataset volume, complexity of data models used, syntactic and semantic differences of various datasets, the development of environmental geodata access, processing and visualization services turns out to be quite a complex task. Those circumstances were taken into account while developing architecture of the local spatial data infrastructure as a universal framework providing geodata services. So that, the architecture presented includes: 1. Effective in terms of search, access, retrieval and subsequent statistical processing, model of storing big sets of regional georeferenced data, allowing in particular to store frequently used values (like monthly and annual climate change indices, etc.), thus providing different temporal views of the datasets 2. General architecture of the corresponding software components handling geospatial datasets within the storage model 3. Metadata catalog describing in detail using ISO 19115 and CF-convention standards datasets used in climate researches as a basic element of the

From global framing to local action : translation of climate change impacts in Africa

Energy Technology Data Exchange (ETDEWEB)

Ogunseitan, O.A. [Harvard Univ., Cambridge, MA (United States)

2000-06-01

There is considerable controversy regarding policy and climate change mitigation in Africa. Its resolution will require integrating local knowledge and values into climate impact assessments. Africa's vulnerability to climate change can be traced to the frequency of socio-ecological devastation that comes from major climate variations on the continent. The incidence of famines, homelessness and disease epidemics that require international assistance are reflections of weak policies and institution action frames used to cope with climate and weather related emergencies. However, the valuation of climate change impacts has a subjective dimension that can be gained only through indigenous experience and an understanding of values associated with life-saving intervention programs. A recent study showed that discount rates applied to future life-saving programs by Africans are very different from the rates applied in developed countries, and that the difference should be reflected in national development programs and transnational initiatives for capacity building. The study suggests that if the boundary institutions responsible for public health security have not been too effective in resolving the policy controversy surrounding Africa's participation in climate change assessments, it is due partly to the limitations imposed by cross-scale issues in framing. It was concluded that efforts to reduce Africa's dependence on global emergency health response systems will necessitate the development of autonomous capacity to adapt to natural disasters. Appropriate frame reflection is needed at the local level. 56 refs., 3 tabs., 1 fig.

Addressing potential local adaptation in species distribution models: implications for conservation under climate change

Science.gov (United States)

Hällfors, Maria Helena; Liao, Jishan; Dzurisin, Jason D. K.; Grundel, Ralph; Hyvärinen, Marko; Towle, Kevin; Wu, Grace C.; Hellmann, Jessica J.

2016-01-01

Species distribution models (SDMs) have been criticized for involving assumptions that ignore or categorize many ecologically relevant factors such as dispersal ability and biotic interactions. Another potential source of model error is the assumption that species are ecologically uniform in their climatic tolerances across their range. Typically, SDMs to treat a species as a single entity, although populations of many species differ due to local adaptation or other genetic differentiation. Not taking local adaptation into account, may lead to incorrect range prediction and therefore misplaced conservation efforts. A constraint is that we often do not know the degree to which populations are locally adapted, however. Lacking experimental evidence, we still can evaluate niche differentiation within a species' range to promote better conservation decisions. We explore possible conservation implications of making type I or type II errors in this context. For each of two species, we construct three separate MaxEnt models, one considering the species as a single population and two of disjunct populations. PCA analyses and response curves indicate different climate characteristics in the current environments of the populations. Model projections into future climates indicate minimal overlap between areas predicted to be climatically suitable by the whole species versus population-based models. We present a workflow for addressing uncertainty surrounding local adaptation in SDM application and illustrate the value of conducting population-based models to compare with whole-species models. These comparisons might result in more cautious management actions when alternative range outcomes are considered.

Conceptualising national climate change policy through the local lenses: The case of Capricorn District Municipality, Limpopo, South Africa

CSIR Research Space (South Africa)

Murambadoro, Miriam D

2018-01-01

Full Text Available This poster presents the preliminary findings of a study which seeks to understand the learning systems used for climate change adaptation at local government level. It looks at how the local government officials conceptualise the National Climate...

Climate change and health: global to local influences on disease risk.

Science.gov (United States)

Patz, J A; Olson, S H

2006-01-01

The World Health Organization has concluded that the climatic changes that have occurred since the mid 1970s could already be causing annually over 150,000 deaths and five million disability-adjusted life-years (DALY), mainly in developing countries. The less developed countries are, ironically, those least responsible for causing global warming. Many health outcomes and diseases are sensitive to climate, including: heat-related mortality or morbidity; air pollution-related illnesses; infectious diseases, particularly those transmitted, indirectly, via water or by insect or rodent vectors; and refugee health issues linked to forced population migration. Yet, changing landscapes can significantly affect local weather more acutely than long-term climate change. Land-cover change can influence micro-climatic conditions, including temperature, evapo-transpiration and surface run-off, that are key determinants in the emergence of many infectious diseases. To improve risk assessment and risk management of these synergistic processes (climate and land-use change), more collaborative efforts in research, training and policy-decision support, across the fields of health, environment, sociology and economics, are required.

Analysis and detection of climate change

International Nuclear Information System (INIS)

Thejll, P.; Stendel, M.

2001-01-01

The authors first discuss the concepts 'climate' and 'climate change detection', outlining the difficulties of the latter in terms of the properties of the former. In more detail they then discuss the analysis and detection, carried out at the Danish Climate Centre, of anthropogenic climate change and the nonanthropogenic changes regarding anthropogenic climate change the emphasis is on the improvement of global and regional climate models, and the reconstruction of past climates regarding non-anthropogenic changes the authors describe two case studies of potential solar influence on climate. (LN)

Beyond Knowledge: Service Learning and Local Climate Change Research Engagement Activities that Foster Action and Behavior Change

Science.gov (United States)

Low, R.; Mandryk, C.; Gosselin, D. C.; Haney, C.

2013-12-01

Climate change engagement requires individuals to understand an abstract and complex topic and realize the profound implications of climate change for their families and local community. In recent years federal agencies have spent millions of dollars on climate change education to prepare a nation for a warming future. The majority of these education efforts are based on a knowledge deficit model. In this view 'educate' means 'provide information'. However cognitive and behavioral research and current action demonstrate that information alone is not enough; knowledge does not necessarily lead to action. Educators are speaking to deaf ears if we rely on passive and abstract information transfer and neglect more persuasive and affective approaches to communication. When climate change is presented abstractly as something that happens in the future to people, environments, animals somewhere else it is easy to discount. People employ two separate systems for information processing: analytical-rational and intuitive-experiential Authentic local research experiences that engage both analytical and experiential information processing systems not only help individuals understand the abstraction of climate change in a concrete and personally experienced manner, but are more likely to influence behavior. Two on-line, graduate-level courses offered within University of Nebraska's Masters of Applied Science program provide opportunities for participants to engage in authentic inquiry based studies climate change's local impacts, and work with K-12 learners in promoting the scientific awareness and behavioral changes that mitigate against the negative impacts of a changing climate. The courses are specifically designed to improve middle and high school (grades 6-12) teachers' content knowledge of climate processes and climate change science in the context of their own community. Both courses provide data-rich, investigative science experiences in a distributed digital

Local Climate Zones Classification to Urban Planning in the Mega City of São Paulo - SP, Brazil

Science.gov (United States)

Gonçalves Santos, Rafael; Saraiva Lopes, António Manuel; Prata-Shimomura, Alessandra

2017-04-01

Local Climate Zones Classification to Urban Planning in the Mega city of São Paulo - SP, Brazil Tropical megacities have presented a strong trend in growing urban. Urban management in megacities has as one of the biggest challenges is the lack of integration of urban climate and urban planning to promote ecologically smart cities. Local Climatic Zones (LCZs) are considered as important and recognized tool for urban climate management. Classes are local in scale, climatic in nature, and zonal in representation. They can be understood as regions of uniform surface cover, structure, material and human activity that have to a unique climate response. As an initial tool to promote urban climate planning, LCZs represent a simple composition of different land coverages (buildings, vegetation, soils, rock, roads and water). LCZs are divided in 17 classes, they are based on surface cover (built fraction, soil moisture, albedo), surface structure (sky view factor, roughness height) and cultural activity (anthropogenic heat flux). The aim of this study is the application of the LCZs classification system in the megacity of São Paulo, Brazil. Located at a latitude of 23° 21' and longitude 46° 44' near to the Tropic of Capricorn, presenting humid subtropical climate (Cfa) with diversified topographies. The megacity of São Paulo currently concentrates 11.890.000 inhabitants is characterized by large urban conglomerates with impermeable surfaces and high verticalization, having as result high urban heat island intensity. The result indicates predominance in urban zones of Compact low-rise, Compact Mid-rise, Compact High-rise and Open Low-rise. Non-urban regions are mainly covered by dense vegetation and water. The LCZs classification system promotes significant advantages for climate sensitive urban planning in the megacity of São Paulo. They offers new perspectives to the management of temperature and urban ventilation and allows the formulation of urban planning

The role of local sea surface temperature pattern changes in shaping climate change in the North Atlantic sector

Science.gov (United States)

Hand, Ralf; Keenlyside, Noel S.; Omrani, Nour-Eddine; Bader, Jürgen; Greatbatch, Richard J.

2018-03-01

Beside its global effects, climate change is manifested in many regionally pronounced features mainly resulting from changes in the oceanic and atmospheric circulation. Here we investigate the influence of the North Atlantic SST on shaping the winter-time response to global warming. Our results are based on a long-term climate projection with the Max Planck Institute Earth System Model (MPI-ESM) to investigate the influence of North Atlantic sea surface temperature pattern changes on shaping the atmospheric climate change signal. In sensitivity experiments with the model's atmospheric component we decompose the response into components controlled by the local SST structure and components controlled by global/remote changes. MPI-ESM simulates a global warming response in SST similar to other climate models: there is a warming minimum—or "warming hole"—in the subpolar North Atlantic, and the sharp SST gradients associated with the Gulf Stream and the North Atlantic Current shift northward by a few a degrees. Over the warming hole, global warming causes a relatively weak increase in rainfall. Beyond this, our experiments show more localized effects, likely resulting from future SST gradient changes in the North Atlantic. This includes a significant precipitation decrease to the south of the Gulf Stream despite increased underlying SSTs. Since this region is characterised by a strong band of precipitation in the current climate, this is contrary to the usual case that wet regions become wetter and dry regions become drier in a warmer climate. A moisture budget analysis identifies a complex interplay of various processes in the region of modified SST gradients: reduced surface winds cause a decrease in evaporation; and thermodynamic, modified atmospheric eddy transports, and coastal processes cause a change in the moisture convergence. The changes in the the North Atlantic storm track are mainly controlled by the non-regional changes in the forcing. The impact of

A multimodal wave spectrum-based approach for statistical downscaling of local wave climate

Science.gov (United States)

Hegermiller, Christie; Antolinez, Jose A A; Rueda, Ana C.; Camus, Paula; Perez, Jorge; Erikson, Li; Barnard, Patrick; Mendez, Fernando J.

2017-01-01

Characterization of wave climate by bulk wave parameters is insufficient for many coastal studies, including those focused on assessing coastal hazards and long-term wave climate influences on coastal evolution. This issue is particularly relevant for studies using statistical downscaling of atmospheric fields to local wave conditions, which are often multimodal in large ocean basins (e.g. the Pacific). Swell may be generated in vastly different wave generation regions, yielding complex wave spectra that are inadequately represented by a single set of bulk wave parameters. Furthermore, the relationship between atmospheric systems and local wave conditions is complicated by variations in arrival time of wave groups from different parts of the basin. Here, we address these two challenges by improving upon the spatiotemporal definition of the atmospheric predictor used in statistical downscaling of local wave climate. The improved methodology separates the local wave spectrum into “wave families,” defined by spectral peaks and discrete generation regions, and relates atmospheric conditions in distant regions of the ocean basin to local wave conditions by incorporating travel times computed from effective energy flux across the ocean basin. When applied to locations with multimodal wave spectra, including Southern California and Trujillo, Peru, the new methodology improves the ability of the statistical model to project significant wave height, peak period, and direction for each wave family, retaining more information from the full wave spectrum. This work is the base of statistical downscaling by weather types, which has recently been applied to coastal flooding and morphodynamic applications.

Analysis of regional climate strategies in the Barents region

Energy Technology Data Exchange (ETDEWEB)

Himanen, S.; Inkeroeinen, J.; Latola, K.; Vaisanen, T.; Alasaarela, E.

2012-11-15

Climate change is a global phenomenon with especially harsh effects on the Arctic and northern regions. The Arctic's average temperature has risen at almost twice the rate as elsewhere in the past few decades. Since 1966, the Arctic land area covered by snow in early summer has shrunk by almost a fifth. The Barents Region consists of the northern parts of Norway, Sweden, Finland and Russia (i.e. the European part of Russia). Climate change will cause serious impacts in the Barents Region because of its higher density of population living under harsh climatic conditions, thus setting it apart from other Arctic areas. In many cases, economic activities, like tourism, rely on certain weather conditions. For this reason, climate change and adaptation to it is of special urgency for the region. Regional climate change strategies are important tools for addressing mitigation and adaptation to climate change as they can be used to consolidate the efforts of different stakeholders of the public and private sectors. Regional strategies can be important factors in achieving the national and international goals. The study evaluated how the national climate change goals were implemented in the regional and local strategies and programmes in northern Finland. The specific goal was to describe the processes by which the regional strategies were prepared and implemented, and how the work was expanded to include the whole of northern Finland. Finally, the Finnish preparatory processes were compared to case examples of processes for preparing climate change strategies elsewhere in the Barents Region. This analysis provides examples of good practices in preparing a climate change strategy and implementing it. (orig.)

Climate - saved locally

International Nuclear Information System (INIS)

1993-01-01

Since 1990, more than 350 towns and communities from six European contries have joined the ''Climate Groups of European towns with the indigenous peoples of the rainforest to support the Earth's atmosphere''. The given goals are the halving of CO 2 emissions by the year 2000, the reduction of greenhouse gases and stopping use of tropical wood. The text shows how far the communes have gone in their own obligations for the protection of the world climate in the areas of energy, transport and town development. The work and organisation of the Indian group- partners is also portrayed. (orig.) [de

Local governments and climate change: sustainable energy planning and implementation in small and medium sized communities

National Research Council Canada - National Science Library

Van Staden, Maryke; Musco, Francesco

2010-01-01

The focus of 'Local governments and climate change' is on how small and medium-sized communities in Europe are effectively responding to climate change, with a particular focus on different approaches...

Climate perceptions of local communities validated through scientific signals in Sikkim Himalaya, India.

Science.gov (United States)

Sharma, R K; Shrestha, D G

2016-10-01

Sikkim, a tiny Himalayan state situated in the north-eastern region of India, records limited research on the climate change. Understanding the changes in climate based on the perceptions of local communities can provide important insights for the preparedness against the unprecedented consequences of climate change. A total of 228 households in 12 different villages of Sikkim, India, were interviewed using eight climate change indicators. The results from the public opinions showed a significant increase in temperature compared to a decade earlier, winters are getting warmer, water springs are drying up, change in concept of spring-water recharge (locally known as Mul Phutnu), changes in spring season, low crop yields, incidences of mosquitoes during winter, and decrease in rainfall in last 10 years. In addition, study also showed significant positive correlations of increase in temperature with other climate change indicators viz. spring-water recharge concept (R (2) = 0.893), warmer winter (R (2) = 0.839), drying up of water springs (R (2) = 0.76), changes in spring season (R (2) = 0.68), low crop yields (R (2) = 0.68), decrease in rainfall (R (2) = 0.63), and incidences of mosquitoes in winter (R (2) = 0.50). The air temperature for two meteorological stations of Sikkim indicated statistically significant increasing trend in mean minimum temperature and mean minimum winter temperature (DJF). The observed climate change is consistent with the people perceptions. This information can help in planning specific adaptation strategies to cope with the impacts of climate change by framing village-level action plan.

Local variability mediates vulnerability of trout populations to land use and climate change

Science.gov (United States)

Brooke E. Penaluna; Jason B. Dunham; Steve F. Railsback; Ivan Arismendi; Sherri L. Johnson; Robert E. Bilby; Mohammad Safeeq; Arne E. Skaugset; James P. Meador

2015-01-01

Land use and climate change occur simultaneously around the globe. Fully understanding their separate and combined effects requires a mechanistic understanding at the local scale where their effects are ultimately realized. Here we applied an individual-based model of fish population dynamics to evaluate the role of local stream variability in modifying responses of...

National and Local Vulnerability to Climate-Related Disasters in Latin America

DEFF Research Database (Denmark)

Rubin, Olivier; Rossing, Tine

2012-01-01

are main determinants of natural disaster mortality in Latin America. Locally, the region's poor are particularly susceptible to climate-related natural hazards. As a result of their limited access to capital, adaptation based on social assets constitutes an effective coping strategy. Evidence from Bolivia......The Latin American region is particularly prone to climate-related natural hazards. However, this article argues that natural hazards are only partly to blame for the region's vulnerability to natural disasters with quantitative evidence suggesting instead that income per capita and inequality...... and Belize illustrates the importance of social assets in protecting the most vulnerable against natural disasters....

Climatic change and local policy, Amsterdam, Netherlands. Policy options and implementation strategies to reduce emission of CO2

International Nuclear Information System (INIS)

Schol, E.; Van den Bosch, A.; Ligthart, F.A.T.M.; Roemer, J.C.; Ruijg, G.J.; Schaeffer, G.J.; Dinkelman, D.H.; Kok, I.C.; De Paauw, K.F.B.

1998-04-01

Insight is given into the local policy options with respect to climate change, in this case within the sphere of influence of Amsterdam local authorities. A list of new policy options for CO2-reduction has been made with the assistance of local policy makers and representatives of interest groups. These policy options have been divided into three qualitative scenarios: Institutional Cultural Change, Technological Innovation and Least Regrets. The environmental, economic and other effects have been described for each policy option. The three most interesting policy options have been selected by local policy makers and representatives of interest groups during a workshop. Implementation strategies have been developed for the options selected. These strategies have been discussed during a second workshop. The reduction target, stabilization of CO2-emissions in 2015 compared to 1993, can be realized by a combination of all the new policy options. The three selected policy options count for 40% of this total CO2-emission reduction. Finally, a general outline on the methodology to construct local policies for climate protection has been described. This methodology can also be applied to other cities and municipal administrators, e.g. participants of Cities for Climate Protection, an initiative of the International Council for Local Environmental Initiatives, or the Netherlands Climate Association. 136 refs

Local Perceptions and Responses to Climate Change and Variability: The Case of Laikipia District, Kenya

Directory of Open Access Journals (Sweden)

Sarah Ayeri Ogalleh

2012-12-01

Full Text Available Agricultural policies in Kenya aim to improve farmers’ livelihoods. With projected climate change, these policies are short of mechanisms that promote farmers’ adaptation. As a result, smallholders are confronted with a variety of challenges including climate change, which hinders their agricultural production. Local knowledge can be instrumental in assisting smallholders to cope with climate change and variability. In this paper, we present empirical evidence that demonstrates local knowledge, perceptions and adaptations to climate change and variability amongst smallholders of Laikipia district of Kenya. A Palmer Drought Severity Index (PDSI calculated for one station is compared with smallholders’ perceptions. Data was collected using qualitative and quantitative methods in Umande and Muhonia sub-locations. Qualitative data included 46 transcripts from focus group discussions and key informant interviews. Quantitative data is derived from 206 interviewees. We analyzed qualitative and quantitative data using Atlas-ti and SPSS respectively. According to smallholders’ perceptions, climatic variability is increasingly changing. Local perceptions include decreasing rainfalls, increasing temperatures, increasing frosts and increasing hunger. The PDSI shows a trend towards severe droughts in the last four decades, which is in accordance with farmers’ perceptions. Smallholders use a combination of coping and adaptation strategies to respond to variability, including, among others, diversification of crop varieties, migration and sale of livestock. Significant relationships exist between drought perceptions and some adaptations such as migration and sale of livestock. Farmers have an in-depth knowledge of climatic variability, which they use to inform their coping and adaptation strategies. Knowledge of climatic perceptions and adaptations are vital entry points for decision makers and policy makers to learn how and where to enhance the

Urban field classification by "local climate zones" in a medium-sized Central European city: the case of Olomouc (Czech Republic)

Science.gov (United States)

Lehnert, Michal; Geletič, Jan; Husák, Jan; Vysoudil, Miroslav

2015-11-01

The stations of the Metropolitan Station Network in Olomouc (Czech Republic) were assigned to local climatic zones, and the temperature characteristics of the stations were compared. The classification of local climatic zones represents an up-to-date concept for the unification of the characterization of the neighborhoods of climate research sites. This study is one of the first to provide a classification of existing stations within local climate zones. Using a combination of GIS-based analyses and field research, the values of geometric and surface cover properties were calculated, and the stations were subsequently classified into the local climate zones. It turned out that the classification of local climatic zones can be efficiently used for representative documentation of the neighborhood of the climate stations. To achieve a full standardization of the description of the neighborhood of a station, the classification procedures, including the methods used for the processing of spatial data and methods used for the indication of specific local characteristics, must be also standardized. Although the main patterns of temperature differences between the stations with a compact rise, those with an open rise and the stations with no rise or sparsely built areas were evident; the air temperature also showed considerable differences within particular zones. These differences were largely caused by various geometric layout of development and by unstandardized placement of the stations. For the direct comparison of temperatures between zones, particularly those stations which have been placed in such a way that they are as representative as possible for the zone in question should be used in further research.

Cluster analysis of Southeastern U.S. climate stations

Science.gov (United States)

Stooksbury, D. E.; Michaels, P. J.

1991-09-01

A two-step cluster analysis of 449 Southeastern climate stations is used to objectively determine general climate clusters (groups of climate stations) for eight southeastern states. The purpose is objectively to define regions of climatic homogeneity that should perform more robustly in subsequent climatic impact models. This type of analysis has been successfully used in many related climate research problems including the determination of corn/climate districts in Iowa (Ortiz-Valdez, 1985) and the classification of synoptic climate types (Davis, 1988). These general climate clusters may be more appropriate for climate research than the standard climate divisions (CD) groupings of climate stations, which are modifications of the agro-economic United States Department of Agriculture crop reporting districts. Unlike the CD's, these objectively determined climate clusters are not restricted by state borders and thus have reduced multicollinearity which makes them more appropriate for the study of the impact of climate and climatic change.

Innovation of Local Government in Creating Conducive Investment Climate (Study in Lamongan Regency)

OpenAIRE

Khoiri, A. Miftakhul

2016-01-01

Local government needs innovation to solve public problems, one of them is investment climate. The problems related to investment climate include no security and weak rule of law, lack of infrastructure, las well as ong and complicated bureaucracy. Lamongan Regency is trying to create innovative programs to solve investment problems. Those innovations include Regional Regulation No. 2 of 2015 and Regent Decree number 23 of 2015, proactive service, fast service package, SMS Gateway, facilitati...

Exploring recent and projected climate change in a steep monsoonal catchment in the middle Himalaya through innovative synthesis of local observations, gridded datasets and community engagement

Science.gov (United States)

Forsythe, Nathan; Pritchard, Davis; Tiwari, Prakash; Fowler, Hayley; Kumaun, Bhagwati

2016-04-01

Under the auspices of an "Innovation Partnerships" programme research exchange grant jointly funded by the India Department of Science and Technology and the British Council, Kumaun University and Newcastle University have been collaboratively exploring the recorded historical and projected future climate change implications for a case study catchment, the Ramgad river, in the Kumaon Lesser Himalaya (Uttarakhand state, India). This work weaves together diverse research strands with the aim of producing a coherent thorough characterisation of the impacts of recent/on-going and likely climate evolution on local communities. Participatory research activities in multiple villages in the case study catchment have yielded a consistent narrative of changes posed by the increasingly erratic monsoonal rainfall as well as upward displacement and replacement crops in their historical elevation ranges due to temperature change. Multi-decadal climate records from both local observations and global meteorological records reveal a more complex picture with strong seasonal asymmetry of changes in both temperature and precipitation: a) trend analysis shows mild weakening of the early phase (May, July) but strengthen in the later stages (August, September); b) temperature trends show much stronger warming in late winter and early spring (February to April) than the rest of the year with additional asymmetry in both sign and magnitude of change between individual components (Tmax, Tmin) of the diurnal temperature cycle. On-going research seeks to associate this asymmetry with causal mechanisms (cloud radiative effect, atmospheric circulation). Analysis of historical records will provide the basis for validation and assessment of individual regional climate model projections from the CORDEX South Asia domain ensemble. For the terraced agricultural communities of the Kumaon Himalaya, the most directly consequential effects of climate variability and change are impacts on crop yields

Deciphering the spatio-temporal complexity of climate change of the last deglaciation: a model analysis

Directory of Open Access Journals (Sweden)

D. M. Roche

2011-06-01

Full Text Available Understanding the sequence of events occuring during the last major glacial to interglacial transition (21 ka BP to 9 ka BP is a challenging task that has the potential to unveil the mechanisms behind large scale climate changes. Though many studies have focused on the understanding of the complex sequence of rapid climatic change that accompanied or interrupted the deglaciation, few have analysed it in a more theoretical framework with simple forcings. In the following, we address when and where the first significant temperature anomalies appeared when using slow varying forcing of the last deglaciation. We used here coupled transient simulations of the last deglaciation, including ocean, atmosphere and vegetation components to analyse the spatial timing of the deglaciation. To keep the analysis in a simple framework, we did not include freshwater forcings that potentially cause rapid climate shifts during that time period. We aimed to disentangle the direct and subsequent response of the climate system to slow forcing and moreover, the location where those changes are more clearly expressed. In a data – modelling comparison perspective, this could help understand the physically plausible phasing between known forcings and recorded climatic changes. Our analysis of climate variability could also help to distinguish deglacial warming signals from internal climate variability. We thus are able to better pinpoint the onset of local deglaciation, as defined by the first significant local warming and further show that there is a large regional variability associated with it, even with the set of slow forcings used here. In our model, the first significant hemispheric warming occurred simultaneously in the North and in the South and is a direct response to the obliquity forcing.

Land Surface Temperature Differences within Local Climate Zones, Based on Two Central European Cities

Czech Academy of Sciences Publication Activity Database

Geletič, Jan; Lehnert, M.; Dobrovolný, Petr

2016-01-01

Roč. 8, č. 10 (2016), č. článku 788. ISSN 2072-4292 R&D Projects: GA MŠk(CZ) LO1415 Grant - others:UrbanAdapt(XE) EHP-CZ02-OV-1-036-2015 Program:CZ02 Biodiverzita a ekosystémové služby / Monitorování a integrované plánování a kontrola v životním prostředí/ Adaptace na změnu klimatu Institutional support: RVO:67179843 Keywords : land surface temperature * local climate zones * ASTER * LANDSAT * analysis of variance * Prague * Brno * Czech Republic Subject RIV: EH - Ecology, Behaviour Impact factor: 3.244, year: 2016

Measuring perceptions of climate change in northern Alaska: pairing ethnography with cultural consensus analysis

Directory of Open Access Journals (Sweden)

Courtney Carothers

2014-12-01

Full Text Available Given current and projected warming trends in the Arctic and the important role played by subsistence hunting and fishing in the life of northern rural communities, it is increasingly important to document local observations of climate change and its impacts on livelihood practices. We describe ethnographic research exploring local observations of climate changes and related impacts on subsistence fisheries in three Iñupiat communities in northwest Alaska and six Athabascan communities in the Yukon River drainage. We found consistent agreement among perceptions concerning a broad range of environmental changes affecting subsistence practices in these communities. These observations of environmental changes are not experienced in isolation but within the context of accompanying social changes that are continually reshaping rural Alaskan communities and subsistence economies. In this paper we reflect on our research approach combining multiple methods of inquiry. Participant observation and semidirected interviews provided the conceptual framework for broadening our focus from climate and environmental change to community residents' understanding of climate change in the context of their holistic human-environment worldview. Cultural consensus analysis allowed us to assess the extent to which perceptions of change are shared among hunters and fishers within and between villages and regions and to identify those phenomena occurring or experienced at smaller scales. Reflecting on this multimethods approach, we highlight important questions that have emerged about how we understand, synthesize, and represent local knowledge, especially as it is used in regulatory or management arenas.

Enhancing Communication of Climate Impacts Assessments: Examples of Local Stories, Animations and Video.

Science.gov (United States)

Fitzpatrick, M. F.; Grigholm, B. O.

2014-12-01

Comprehensive climate impacts assessments are important vehicles for conveying salient information to the public and policy makers. However, over the last few decades communication of this important information has been hampered for a number of reasons. Firstly, we have a rapidly changing social media landscape, where there are fewer opportunities for in-depth treatment of issues. To compete in this arena, climate information needs to be packaged in sound bites, and much of the nuance and complexity may be lost. Secondly, scientific literacy among the general U.S. population is not particularly high, which creates a barrier to understanding and limits the audiences that can be reached. Thirdly, climate science has been undermined by misinformation over many years often funded by fossil fuel interests. While this latter obstacle is clearly diminishing - largely in the face of evidence from the undeniable climate impacts that are already being seen by communities - there has been much confusion generated to date. Despite the fact that 97% of active climate scientists agree that the planet is warming as a result of human greenhouse gas emission, only 42% of the U.S. population agrees (Pew Research, 2013). In the face of these challenges, much of the work that the Union of Concerned Scientists does to translate climate impacts assessments has shifted to visuals, animations, and videos that people can relate to and connect with more readily. In this session we will share some of the general design features, discuss target audiences, and outline production limitations of several local stories involving videos and animations, as well as present some recent infographics. One example of this work are case studies that focus on sea level rise and involve a local personality who can speak to climate impacts at the community level. We understand the power of visual images and stories in creating messages that stick, and we use this in designing animations that explain the

A Bibliometric Analysis of Climate Engineering Research

Science.gov (United States)

Belter, C. W.; Seidel, D. J.

2013-12-01

The past five years have seen a dramatic increase in the number of media and scientific publications on the topic of climate engineering, or geoengineering, and some scientists are increasingly calling for more research on climate engineering as a possible supplement to climate change mitigation and adaptation strategies. In this context, understanding the current state of climate engineering research can help inform policy discussions and guide future research directions. Bibliometric analysis - the quantitative analysis of publications - is particularly applicable to fields with large bodies of literature that are difficult to summarize by traditional review methods. The multidisciplinary nature of the published literature on climate engineering makes it an ideal candidate for bibliometric analysis. Publications on climate engineering are found to be relatively recent (more than half of all articles during 1988-2011 were published since 2008), include a higher than average percentage of non-research articles (30% compared with 8-15% in related scientific disciplines), and be predominately produced by countries located in the Northern Hemisphere and speaking English. The majority of this literature focuses on land-based methods of carbon sequestration, ocean iron fertilization, and solar radiation management and is produced with little collaboration among research groups. This study provides a summary of existing publications on climate engineering, a perspective on the scientific underpinnings of the global dialogue on climate engineering, and a baseline for quantitatively monitoring the development of climate engineering research in the future.

Impact assessment and coastal climate change adaptation in a local transdisciplinary perspective

DEFF Research Database (Denmark)

Sørensen, Carlo Sass; Broge, N. H.; Knudsen, Per

, private and public institutions, and the local communities provides: understanding of the immediate and potential future challenges; appreciation of different stakeholder motives, business agendas, legislative constraints etc., and common focus on how to cost-efficiently adapt to and manage impacts......From an applied point of view, the authors present and discuss inter- and transdisciplinary approaches to assess and deal with natural coastal hazards and climate change impacts. The construction of a shared working platform for knowledge integration across levels of governance and between research...... of climate change. The platform is dynamically updated with additional data and knowledge, e.g. from climate change evidence, or, by provision of updated regional models of future sea level rise. In order to integrate natural hazards and impact development over time, models on hydrology, geology...

HydroClimATe: hydrologic and climatic analysis toolkit

Science.gov (United States)

Dickinson, Jesse; Hanson, Randall T.; Predmore, Steven K.

2014-01-01

The potential consequences of climate variability and climate change have been identified as major issues for the sustainability and availability of the worldwide water resources. Unlike global climate change, climate variability represents deviations from the long-term state of the climate over periods of a few years to several decades. Currently, rich hydrologic time-series data are available, but the combination of data preparation and statistical methods developed by the U.S. Geological Survey as part of the Groundwater Resources Program is relatively unavailable to hydrologists and engineers who could benefit from estimates of climate variability and its effects on periodic recharge and water-resource availability. This report documents HydroClimATe, a computer program for assessing the relations between variable climatic and hydrologic time-series data. HydroClimATe was developed for a Windows operating system. The software includes statistical tools for (1) time-series preprocessing, (2) spectral analysis, (3) spatial and temporal analysis, (4) correlation analysis, and (5) projections. The time-series preprocessing tools include spline fitting, standardization using a normal or gamma distribution, and transformation by a cumulative departure. The spectral analysis tools include discrete Fourier transform, maximum entropy method, and singular spectrum analysis. The spatial and temporal analysis tool is empirical orthogonal function analysis. The correlation analysis tools are linear regression and lag correlation. The projection tools include autoregressive time-series modeling and generation of many realizations. These tools are demonstrated in four examples that use stream-flow discharge data, groundwater-level records, gridded time series of precipitation data, and the Multivariate ENSO Index.

Urban Heat Islands and Their Mitigation vs. Local Impacts of Climate Change

Science.gov (United States)

Taha, H.

2007-12-01

Urban heat islands and their mitigation take on added significance, both negative and positive, when viewed from a climate-change perspective. In negative terms, urban heat islands can act as local exacerbating factors, or magnifying lenses, to the effects of regional and large-scale climate perturbations and change. They can locally impact meteorology, energy/electricity generation and use, thermal environment (comfort and heat waves), emissions of air pollutants, photochemistry, and air quality. In positive terms, on the other hand, mitigation of urban heat islands (via urban surface modifications and control of man-made heat, for example) can potentially have a beneficial effect of mitigating the local negative impacts of climate change. In addition, mitigation of urban heat islands can, in itself, contribute to preventing regional and global climate change, even if modestly, by helping reduce CO2 emissions from power plants and other sources as a result of decreased energy use for cooling (both direct and indirect) and reducing the rates of meteorology-dependent emissions of air pollutants. This presentation will highlight aspects and characteristics of heat islands, their mitigation, their modeling and quantification techniques, and recent advances in meso-urban modeling of California (funded by the California Energy Commission). In particular, the presentation will focus on results from quantitative, modeling-based analyses of the potential benefits of heat island mitigation in 1) reducing point- and area-source emissions of CO2, NOx, and VOC as a result of reduced cooling energy demand and ambient/surface temperatures, 2) reducing evaporative and fugitive hydrocarbon emissions as a result of lowered temperatures, 3) reducing biogenic hydrocarbon emissions from existing vegetative cover, 4) slowing the rates of tropospheric/ground-level ozone formation and/or accumulation in the urban boundary layer, and 5) helping improve air quality. Quantitative estimates

Big climate data analysis

Science.gov (United States)

Mudelsee, Manfred

2015-04-01

The Big Data era has begun also in the climate sciences, not only in economics or molecular biology. We measure climate at increasing spatial resolution by means of satellites and look farther back in time at increasing temporal resolution by means of natural archives and proxy data. We use powerful supercomputers to run climate models. The model output of the calculations made for the IPCC's Fifth Assessment Report amounts to ~650 TB. The 'scientific evolution' of grid computing has started, and the 'scientific revolution' of quantum computing is being prepared. This will increase computing power, and data amount, by several orders of magnitude in the future. However, more data does not automatically mean more knowledge. We need statisticians, who are at the core of transforming data into knowledge. Statisticians notably also explore the limits of our knowledge (uncertainties, that is, confidence intervals and P-values). Mudelsee (2014 Climate Time Series Analysis: Classical Statistical and Bootstrap Methods. Second edition. Springer, Cham, xxxii + 454 pp.) coined the term 'optimal estimation'. Consider the hyperspace of climate estimation. It has many, but not infinite, dimensions. It consists of the three subspaces Monte Carlo design, method and measure. The Monte Carlo design describes the data generating process. The method subspace describes the estimation and confidence interval construction. The measure subspace describes how to detect the optimal estimation method for the Monte Carlo experiment. The envisaged large increase in computing power may bring the following idea of optimal climate estimation into existence. Given a data sample, some prior information (e.g. measurement standard errors) and a set of questions (parameters to be estimated), the first task is simple: perform an initial estimation on basis of existing knowledge and experience with such types of estimation problems. The second task requires the computing power: explore the hyperspace to

The Canadian Centre for Climate Modelling and Analysis global coupled model and its climate

Energy Technology Data Exchange (ETDEWEB)

Flato, G.M.; Boer, G.J.; Lee, W.G.; McFarlane, N.A.; Ramsden, D.; Reader, M.C. [Canadian Centre for Climate Modelling and Analysis, Victoria, BC (Canada); Weaver, A.J. [School of Earth and Ocean Sciences, University of Victoria, BC (Canada)

2000-06-01

A global, three-dimensional climate model, developed by coupling the CCCma second-generation atmospheric general circulation model (GCM2) to a version of the GFDL modular ocean model (MOM1), forms the basis for extended simulations of past, current and projected future climate. The spin-up and coupling procedures are described, as is the resulting climate based on a 200 year model simulation with constant atmospheric composition and external forcing. The simulated climate is systematically compared to available observations in terms of mean climate quantities and their spatial patterns, temporal variability, and regional behavior. Such comparison demonstrates a generally successful reproduction of the broad features of mean climate quantities, albeit with local discrepancies. Variability is generally well-simulated over land, but somewhat underestimated in the tropical ocean and the extratropical storm-track regions. The modelled climate state shows only small trends, indicating a reasonable level of balance at the surface, which is achieved in part by the use of heat and freshwater flux adjustments. The control simulation provides a basis against which to compare simulated climate change due to historical and projected greenhouse gas and aerosol forcing as described in companion publications. (orig.)

Local and cross-seasonal associations of climate and land use with abundance of monarch butterflies Danaus plexippus

Science.gov (United States)

Saunders, Sarah P.; Ries, Leslie; Oberhasuer, Karen S.; Thogmartin, Wayne E.; Zipkin, Elise F.

2017-01-01

Quantifying how climate and land use factors drive population dynamics at regional scales is complex because it depends on the extent of spatial and temporal synchrony among local populations, and the integration of population processes throughout a species’ annual cycle. We modeled weekly, site-specific summer abundance (1994–2013) of monarch butterflies Danaus plexippus at sites across Illinois, USA to assess relative associations of monarch abundance with climate and land use variables during the winter, spring, and summer stages of their annual cycle. We developed negative binomial regression models to estimate monarch abundance during recruitment in Illinois as a function of local climate, site-specific crop cover, and county-level herbicide (glyphosate) application. We also incorporated cross-seasonal covariates, including annual abundance of wintering monarchs in Mexico and climate conditions during spring migration and breeding in Texas, USA. We provide the first empirical evidence of a negative association between county-level glyphosate application and local abundance of adult monarchs, particularly in areas of concentrated agriculture. However, this association was only evident during the initial years of the adoption of herbicide-resistant crops (1994–2003). We also found that wetter and, to a lesser degree, cooler springs in Texas were associated with higher summer abundances in Illinois, as were relatively cool local summer temperatures in Illinois. Site-specific abundance of monarchs averaged approximately one fewer per site from 2004–2013 than during the previous decade, suggesting a recent decline in local abundance of monarch butterflies on their summer breeding grounds in Illinois. Our results demonstrate that seasonal climate and land use are associated with trends in adult monarch abundance, and our approach highlights the value of considering fine-resolution temporal fluctuations in population-level responses to environmental

Localized climate control in greenhouses

NARCIS (Netherlands)

Booij, P.S.; Sijs, J.; Fransman, J.E.

2012-01-01

Strategies for controlling the indoor climate in greenhouses are based on a few sensors and actuators in combination with an assumption that climate variables, such as temperature, are uniform throughout the greenhouse. While this is already an improper assumption for conventional greenhouses, it

Using a community-driven approach to identify local forest and climate change priorities in Teslin, Yukon

Directory of Open Access Journals (Sweden)

Joleen Timko

2015-12-01

Full Text Available The likelihood of addressing the complex environmental, economic, and social/cultural issues associated with local climate change impacts is enhanced when collaborative partnerships with local people are established. Using a community-centered approach in the Teslin region of Canada’s Yukon Territory, we utilized our research skills to respond to local needs for information by facilitating both an internal community process to clarify traditional and local knowledge, values, and perceptions on locally identified priorities, while gathering external information to enable local people to make sound decisions. Specifically, we sought to clarify local perceptions surrounding climate change impacts on fire risk and wildlife habitat, and the potential adaptation strategies appropriate and feasible within the Teslin Tlingit Traditional Territory. This paper provides a characterization of the study region and our project team; provides background on the interview and data collection process; presents our key results; and discusses the importance of our findings and charts a way forward for our continued work with the people in the Teslin region. This approach presents an excellent opportunity to help people holistically connect a range of local values, including fire risk mitigation, habitat enhancement, economic development, and enhanced social health.

Local collectivities and climatic change. Are you ready? A guide for the adaptation devoted to the local collectivities

International Nuclear Information System (INIS)

2004-01-01

Facing the climatic change effects, it is necessary to develop a national but also regional adaptation policy to the global warming. This guide aims to give, to the local managers, information on the global warming and bring possible adaptation measures. The sectors of planning, buildings, transports, public health, environment and public information are discussed. (A.L.B.)

Regional climate, local climate and ozone air pollution in Tours and Orleans cities

International Nuclear Information System (INIS)

Berthelot, M.

2006-10-01

The importance of the relations between climate and the air pollution justifies the interest related to the role of the urban heat island of heat with respect to the night persistence of ozone in urban environment. When the days are favourable with important ozone concentrations, the agglomerations of the area observe a dynamics day laborer of ozone different from that observed in rural environment. The study is undertaken on the towns of Turns and Orleans where the observations of Lig'Air revealed a night persistence of ozone whereas the concentrations drop more quickly in periphery. This phenomenon is remarkable during the little broken down anticyclonic days. The region region Centre is a ground of study privileged for ozone because of its situation in the south-west of the Island of France rich in precursors of ozone. When flow is of continental origin, the Centre area is found then under the influence of the Paris area. The investigation of a study of the air pollution must take into account the notes of the regional climate and local climate. Several preliminary studies must intervene to answer our principal problems. First of all a descriptive study of the regional climate is carried out with the participation of Meteo-France. The current absence of climatic atlas as well as the many disparities of the climate related to extended from the territory partly justify the interest of our study. The regional approach of the climate is also essential for the continuation of work on a finer scale on the agglomerations of Turns and Orleans in order to detect the urban heat island of heat there. Collaboration with Meteo-France and Lig'Air made it possible to establish a satisfying network of measurement making it possible to obtain notable thermal differences between the downtown area and the surrounding rural environment. The correlation between meteorology and the proven air pollution leads us to establish the climatology of ozone. Many are the studies having

Gender and climate change in the Indian Hindu-Kush Himalayas: global threats, local vulnerabilities

Science.gov (United States)

Ogra, M. V.; Badola, R.

2014-11-01

Global climate change has numerous implications for members of mountain communities who feel the impacts in both physical and social dimensions. In the Western Himalayas of India, a majority of residents maintain a livelihood strategy that includes a combination of subsistence or small-scale agriculture, seasonal pastoral migration, male out-migration, and localized natural resource extraction. Particularly under conditions of heavy male outmigration, but throughout the region, mountain women play a key role in providing labor and knowledge related to the management of local natural resources, yet often lack authority in related political and economic decision-making processes. This gap has important implications for addressing the impacts of climate change: while warming temperatures, irregular patterns of precipitation and snowmelt, and changing biological systems present challenges to the viability of these traditional livelihood portfolios throughout the region, mountain women increasingly face new challenges in their roles as household managers that have not adequately been emphasized in larger scale planning for climate change adaptation and mitigation. These challenges are complex in nature, and are shaped not only by gender issues but also interacting factors such as class, caste, ethnicity, and age (among others). In this paper, we review the main arguments behind the discursive gender/climate change nexus, discuss the implications for gendered vulnerabilities and transformation of adaptive capacities in the region, and suggest ways that researchers and policymakers seeking to promote "climate justice" can benefit from the incorporation of gender-based perspectives and frameworks.

Climate change adaptation among Tibetan pastoralists: challenges in enhancing local adaptation through policy support.

Science.gov (United States)

Fu, Yao; Grumbine, R Edward; Wilkes, Andreas; Wang, Yun; Xu, Jian-Chu; Yang, Yong-Ping

2012-10-01

While researchers are aware that a mix of Local Ecological Knowledge (LEK), community-based resource management institutions, and higher-level institutions and policies can facilitate pastoralists' adaptation to climate change, policy makers have been slow to understand these linkages. Two critical issues are to what extent these factors play a role, and how to enhance local adaptation through government support. We investigated these issues through a case study of two pastoral communities on the Tibetan Plateau in China employing an analytical framework to understand local climate adaptation processes. We concluded that LEK and community-based institutions improve adaptation outcomes for Tibetan pastoralists through shaping and mobilizing resource availability to reduce risks. Higher-level institutions and policies contribute by providing resources from outside communities. There are dynamic interrelationships among these factors that can lead to support, conflict, and fragmentation. Government policy could enhance local adaptation through improvement of supportive relationships among these factors. While central government policies allow only limited room for overt integration of local knowledge/institutions, local governments often have some flexibility to buffer conflicts. In addition, government policies to support market-based economic development have greatly benefited adaptation outcomes for pastoralists. Overall, in China, there are still questions over how to create innovative institutions that blend LEK and community-based institutions with government policy making.

The Tribal Lands Collaboratory: Building partnerships and developing tools to support local Tribal community response to climate change.

Science.gov (United States)

Jones, K. D.; Wee, B.; Kuslikis, A.

2015-12-01

Response of Tribal nations and Tribal communities to current and emerging climate change challenges requires active participation of stakeholders who have effective access to relevant data, information and analytical tools. The Tribal Lands Collaboratory (TLC), currently under development, is a joint effort between the American Indian Higher Education Consortium (AIHEC), the Environmental Systems Research Institute (Esri), and the National Ecological Observatory Network (NEON). The vision of the TLC is to create an integrative platform that enables coordination between multiple stakeholders (e.g. Tribal resource managers, Tribal College faculty and students, farmers, ranchers, and other local community members) to collaborate on locally relevant climate change issues. The TLC is intended to facilitate the transformation of data into actionable information that can inform local climate response planning. The TLC will provide the technical mechanisms to access, collect and analyze data from both internal and external sources (e.g. NASA's Giovanni climate data portal, Ameriflux or USA National Phenology Network) while also providing the social scaffolds to enable collaboration across Tribal communities and with members of the national climate change research community. The prototype project focuses on phenology, a branch of science focused on relationships between climate and the seasonal timing of biological phenomena. Monitoring changes in the timing and duration of phenological stages in plant and animal co­­­­mmunities on Tribal lands can provide insight to the direct impacts of climate change on culturally and economically significant Tribal resources . The project will leverage existing phenological observation protocols created by the USA-National Phenology Network and NEON to direct data collection efforts and will be tailored to the specific needs and concerns of the community. Phenology observations will be captured and managed within the Collaboratory

Analysis of barriers and levers to the implementation of strategies of adaptation to climate changes - 2014-2015. The case of urban communities. Final report

International Nuclear Information System (INIS)

Simonet, Guillaume; Leseur, Alexia

2015-12-01

This is the final report of a research project (ABSTRACT-colurba) which aimed at exploring decision mechanisms and organisational dynamics underlying the elaboration of strategies of adaptation to climate changes by using results of a field study among ten previously selected French local communities. The objectives were to determine priority local social and economic challenges associated with expected impacts of climate changes, to identify economic, organisational and cognitive barriers and levers (at the State, representative or collectivity level) to an optimal implementation of measures of reduction of local vulnerabilities to climate changes, to identify possible or already used diagnosis tools for the assessment of costs and of priority investments, and to make comparisons with other referenced cases and to assess possibilities to bypass barriers thanks to a dialogue with stakeholders. After a presentation of the project (objectives, institutional context, guides and methodologies, scientific approach for data acquisition and analysis), the report presents and discusses the obtained results regarding the place given to adaptation in local policies (PCET, the French local climate-energy plans), representations of adaptation, the inclusion of adaptation in the agenda of public climatic action, tools to make adaptation operational, barriers and levers to action implementation

Impact of Rice Paddy Areas Decrease on Local Climate over Taiwan

Science.gov (United States)

Lo, M. H.; Wen, W. H.; Chen, C. C.

2014-12-01

Agricultural irrigation practice is one of the important anthropogenic processes in the land surface modeling. Irrigation can decrease local surface temperature with alternating surface energy partitioning. Rice paddy is the major food crop in Asian monsoon region and rice is grown under flooded conditions during the growing season; hence, the rice paddy can be considered as an open water body, which has more impacts on the surface energy budget than other cropland does. In this study, we explore how the rice paddy area changes affect Taiwan's regional climate from both observational data and numerical modeling exercise. The Weather Research and Forecasting (WRF) model is utilized to explore impacts of rice paddy area changes on the regional climate, and energy and water budget changes. In addition, temperature datasets from six automatic weather stations in the northern Taiwan and two stations in the southern Taiwan are analyzed in this study to explore how the Daily Temperature Range (DTR) changes with the decreased rice paddy areas. Previous studies show that due to the urban heat island effect, aerosol direct and indirect effects, and global warming, the DTR has decreased in the past 4 decades observed from most of the weather stations around Taiwan. However, the declined rice paddy area may increase the DTR with higher Bowen ratio during the daytime. Preliminary results show that DTR is decreased in weather stations near the urban area, but increased in weather stations near fallow areas in the past 20 years. It shows that different land use changes may have opposite impacts on local and regional climate.

PAVICS: A platform for the Analysis and Visualization of Climate Science - adopting a workflow-based analysis method for dealing with a multitude of climate data sources

Science.gov (United States)

Gauvin St-Denis, B.; Landry, T.; Huard, D. B.; Byrns, D.; Chaumont, D.; Foucher, S.

2017-12-01

As the number of scientific studies and policy decisions requiring tailored climate information continues to increase, the demand for support from climate service centers to provide the latest information in the format most helpful for the end-user is also on the rise. Ouranos, being one such organization based in Montreal, has partnered with the Centre de recherche informatique de Montreal (CRIM) to develop a platform that will offer climate data products that have been identified as most useful for users through years of consultation. The platform is built as modular components that target the various requirements of climate data analysis. The data components host and catalog NetCDF data as well as geographical and political delimitations. The analysis components are made available as atomic operations through Web Processing Service (WPS) or as workflows, whereby the operations are chained through a simple JSON structure and executed on a distributed network of computing resources. The visualization components range from Web Map Service (WMS) to a complete frontend for searching the data, launching workflows and interacting with maps of the results. Each component can easily be deployed and executed as an independent service through the use of Docker technology and a proxy is available to regulate user workspaces and access permissions. PAVICS includes various components from birdhouse, a collection of WPS initially developed by the German Climate Research Center (DKRZ) and Institut Pierre Simon Laplace (IPSL) and is designed to be highly interoperable with other WPS as well as many Open Geospatial Consortium (OGC) standards. Further connectivity is made with the Earth System Grid Federation (ESGF) nodes and local results are made searchable using the same API terminology. Other projects conducted by CRIM that integrate with PAVICS include the OGC Testbed 13 Innovation Program (IP) initiative that will enhance advanced cloud capabilities, application packaging

Impacts of East Asian Sulfate Aerosols on Local and Remote Climate

Science.gov (United States)

Bartlett, R. E.; Bollasina, M. A.

2017-12-01

Anthropogenic aerosols exert significant climate forcing, which increases with emissions following trends of growing population and industry. Globally, aerosols cause a net cooling, counteracting greenhouse gas warming; however, regional impacts vary since emissions are spatially and temporally heterogeneous. While European and North American emissions have decreased in recent decades, Asian, particularly East Asian, emissions continued to rise into the 21st century. In addition to links between Asian anthropogenic aerosols and significant local climate impacts - for example, changes to the Asian monsoon system - studies have also shown influences on remote climate. Sulfate aerosols are particularly important for East Asia, remaining at constant levels higher than column burdens of other aerosol species. If a concerted effort - as laid out by government policies aiming to improve air quality - is made, the effects of anthropogenic aerosols (due to their short atmospheric lifetime) could be quickly reversed. Thus, it is vital to understand the climate impact aerosols have had up to now to aid in determining what will happen in the future. We use transient climate modelling experiments with the Community Earth System Model to investigate the impacts of East Asian sulfate aerosols in the present day compared to 1950 (i.e. before rapid industrialisation in this region), focusing on dynamical mechanisms leading to the occurrence of such impacts, and how their influence can spread to remote regions. We find, in addition to significant monsoon impacts, noticeable shifts in large-scale circulation features such as the ITCZ and the Pacific Walker cell. Through diabatic heating responses, changes to upper-level atmospheric dynamics are evident, leading to downstream effects on surface climate - for example, surface cooling over Europe. Understanding of these impacts is vital when considering how the good intentions of air quality improvement might inadvertently have

Climate change and States security: an operational link to develop locally and on the medium term

International Nuclear Information System (INIS)

Taithe, Alexandre

2007-01-01

The author first notices that climate change and environmental degradations induce new logics in international relationships, and then discusses how consequences of climate change can be factors of instability for States, and how to address them. He recalls and comments the main effects of climate change as they have been described in IPCC reports. He outlines limitations of conventional approaches in terms of direct and indirect impacts on States. Direct effects concern territories (for example, a modification of borders due to sea level rise or to erosion), populations (impact of extreme events on housing, on health) and the economy (more particularly the primary sector and high levels of adaptation costs). The author outlines the limitations of these global models, and proposes additional and corrective approaches: hybrid (regional and global) approaches, local and medium term-based approach (some natural resource management can be assessed and organised only locally). An appendix proposes a contribution of an IPCC work-group in which impacts, adaptation and vulnerabilities of the different regions of the world in front of climate changes are summarized

An empirical test of the relative and combined effects of land-cover and climate change on local colonization and extinction.

Science.gov (United States)

Yalcin, Semra; Leroux, Shawn James

2018-04-14

Land-cover and climate change are two main drivers of changes in species ranges. Yet, the majority of studies investigating the impacts of global change on biodiversity focus on one global change driver and usually use simulations to project biodiversity responses to future conditions. We conduct an empirical test of the relative and combined effects of land-cover and climate change on species occurrence changes. Specifically, we examine whether observed local colonization and extinctions of North American birds between 1981-85 and 2001-05 are correlated with land-cover and climate change and whether bird life history and ecological traits explain interspecific variation in observed occurrence changes. We fit logistic regression models to test the impact of physical land-cover change, changes in net primary productivity, winter precipitation, mean summer temperature, and mean winter temperature on the probability of Ontario breeding bird local colonization and extinction. Models with climate change, land-cover change, and the combination of these two drivers were the top ranked models of local colonization for 30%, 27%, and 29% of species, respectively. Conversely, models with climate change, land-cover change, and the combination of these two drivers were the top ranked models of local extinction for 61%, 7%, and 9% of species, respectively. The quantitative impacts of land-cover and climate change variables also vary among bird species. We then fit linear regression models to test whether the variation in regional colonization and extinction rate could be explained by mean body mass, migratory strategy, and habitat preference of birds. Overall, species traits were weakly correlated to heterogeneity in species occurrence changes. We provide empirical evidence showing that land-cover change, climate change, and the combination of multiple global change drivers can differentially explain observed species local colonization and extinction. This article is protected

Stochastic characterization of regional circulation patterns for climate model diagnosis and estimation of local precipitation

International Nuclear Information System (INIS)

Zorita, E.; Hughes, J.P.

1993-01-01

Two statistical approaches for linking large-scale atmospheric circulation patterns and daily local rainfall are described and applied to several GCM (general circulation model) climate simulations. The ultimate objective is to simulate local precipitation associated with alternative climates. The index stations are located near the West and East North American coasts. The first method is based on CART analysis (Classification and Regression trees). It finds the classification of observed daily SLR (sea level pressure) fields in weather types that are most strongly associated with the presence/absence of rainfall in a set of index stations. The best results were obtained for winter rainfall for the West Coast, where a set of physically reasonable weather types could be identified, whereas for the East Coast the rainfall process seemed to be spatially less coherent. The GCM simulations were validated against observations in terms of probability of occurrence and survival time of these weather states. Some discrepancies werefound but there was no systematic bias, indicating that this behavior depends on the particular dynamics of each model. This classification method was then used for the generation of daily rainfall time series from the daily SLP fields from historical observation and from the GCM simulations. Whereas the mean rainfall and probability distributions were rather well replicated, the simulated dry periods were in all cases shorter than in the rainfall observations. The second rainfall generator is based on the analog method and uses information on the evolution of the SLP field in several previous days. It was found to perform reasonably well, although some downward bias in the simulated rainfall persistence was still present. Rainfall changes in a 2xCO 2 climate were investigated by applying both methods to the output of a greenhouse-gas experiment. The simulated precipitation changes were small. (orig.)

User and stakeholder involvement for relevant, reliable and robust local-scale climate projections in Norway

Science.gov (United States)

Neby, Simon; Sobolowski, Stefan

2017-04-01

How can users and stakeholders be actively involved with providing input to and using output from local-scale climate projections? How can the scientific community better understand the needs of local actors? And how should communication and cooperation efforts be organized? These are critical questions we aim to answer in a climate services project funded by the Norwegian Research Council (R3: Relevant, Reliable and Robust local-scale climate projections for Norway). The project takes into consideration not only the scientific issues in establishing useful local-scale climate projections, but also addresses the "usability gap" between climate information and decision-making. The lack of effective communication between scientists and user communities often result in outputs and products that are not matched with decision-relevant climate information. In the R3 project, the scientific participants actively engage with a range of users that have quite different information needs: municipalities, infrastructure developers, agriculture, energy producers, insurance companies, and more. In this particular presentation, we present our experiences concerning three specific issues that relate to the stakeholder-science interface: 1) Preferences are not clear-cut and pre-defined. In practice, this means that stakeholders often do not have precise information about their needs, nor precise information about how, where and whether their needs can be voiced. Similarly, science communities tend to presuppose that stakeholders are interested and have well-articulated needs, which is hardly the case. Collectively, that means that there is a need for an approach that guides the articulation and prioritization of preferences in a manner that integrates both scientific and stakeholder perspectives and takes the integrity of both perspectives seriously. 2) Technologies are unclear. Although information may be produced and used, past experiences, trial and error processes and pragmatic

Urban Heat Wave Vulnerability Analysis Considering Climate Change

Science.gov (United States)

JE, M.; KIM, H.; Jung, S.

2017-12-01

Much attention has been paid to thermal environments in Seoul City in South Korea since 2016 when the worst heatwave in 22 years. It is necessary to provide a selective measure by singling out vulnerable regions in advance to cope with the heat wave-related damage. This study aims to analyze and categorize vulnerable regions of thermal environments in the Seoul and analyzes and discusses the factors and risk factors for each type. To do this, this study conducted the following processes: first, based on the analyzed various literature reviews, indices that can evaluate vulnerable regions of thermal environment are collated. The indices were divided into climate exposure index related to temperature, sensitivity index including demographic, social, and economic indices, and adaptation index related to urban environment and climate adaptation policy status. Second, significant variables were derived to evaluate a vulnerable region of thermal environment based on the summarized indices in the above. this study analyzed a relationship between the number of heat-related patients in Seoul and variables that affected the number using multi-variate statistical analysis to derive significant variables. Third, the importance of each variable was calculated quantitatively by integrating the statistical analysis results and analytic hierarchy process (AHP) method. Fourth, a distribution of data for each index was identified based on the selected variables and indices were normalized and overlapped. Fifth, For the climate exposure index, evaluations were conducted as same as the current vulnerability evaluation method by selecting future temperature of Seoul predicted through the representative concentration pathways (RCPs) climate change scenarios as an evaluation variable. The results of this study can be utilized as foundational data to establish a countermeasure against heatwave in Seoul. Although it is limited to control heatwave occurrences itself completely, improvements

The impact of FDI and domestic business climate on local entrepreneurship in Transcaucasia: A case of Georgia in the years 2005 – 2015

Directory of Open Access Journals (Sweden)

Ucha Surmanidze

2016-10-01

Full Text Available The main objective of this paper is to examine the impact of FDI inflow on local entrepreneurship in Georgia. The secondary objective of the article is to determine what effects the business climate in the country has on the growth of local entrepreneurs. To verify the impact of foreign investments on domestic entrepreneurship, dynamics of active local enterprises in Georgia in the years 2005-2014 is used as a dependent variable. In regard with business climate, international business and credit rankings were selected to show how they are interrelated with foreign investments and how they affect domestic entrepreneurs. FDI has no significant effect on local entrepreneurship in Georgia, neither on their growth, nor on their fall, as Its share in the local economy is nominal. It is noteworthy, however, that inflow of foreign capital has positive impact on the country’s business climate, promoting its image and rising international recognition. The favorable business climate can help many local enterprises, especially SMEs, to benefit from liberal environment, financial and tax incentives, less regulation and bureaucracy. This paper intends to enrich relatively poor literature about FDI effects on Transcaucasian countries, providing a clear understanding to what extend the local entrepreneurship are under the influence of FDI and general business climate in the country.

Both life-history plasticity and local adaptation will shape range-wide responses to climate warming in the tundra plant Silene acaulis.

Science.gov (United States)

Peterson, Megan L; Doak, Daniel F; Morris, William F

2018-04-01

Many predictions of how climate change will impact biodiversity have focused on range shifts using species-wide climate tolerances, an approach that ignores the demographic mechanisms that enable species to attain broad geographic distributions. But these mechanisms matter, as responses to climate change could fundamentally differ depending on the contributions of life-history plasticity vs. local adaptation to species-wide climate tolerances. In particular, if local adaptation to climate is strong, populations across a species' range-not only those at the trailing range edge-could decline sharply with global climate change. Indeed, faster rates of climate change in many high latitude regions could combine with local adaptation to generate sharper declines well away from trailing edges. Combining 15 years of demographic data from field populations across North America with growth chamber warming experiments, we show that growth and survival in a widespread tundra plant show compensatory responses to warming throughout the species' latitudinal range, buffering overall performance across a range of temperatures. However, populations also differ in their temperature responses, consistent with adaptation to local climate, especially growing season temperature. In particular, warming begins to negatively impact plant growth at cooler temperatures for plants from colder, northern populations than for those from warmer, southern populations, both in the field and in growth chambers. Furthermore, the individuals and maternal families with the fastest growth also have the lowest water use efficiency at all temperatures, suggesting that a trade-off between growth and water use efficiency could further constrain responses to forecasted warming and drying. Taken together, these results suggest that populations throughout species' ranges could be at risk of decline with continued climate change, and that the focus on trailing edge populations risks overlooking the largest

Carbon-Temperature-Water Change Analysis for Peanut Production Under Climate Change: A Prototype for the AgMIP Coordinated Climate-Crop Modeling Project (C3MP)

Science.gov (United States)

Ruane, Alex C.; McDermid, Sonali; Rosenzweig, Cynthia; Baigorria, Guillermo A.; Jones, James W.; Romero, Consuelo C.; Cecil, L. DeWayne

2014-01-01

Climate change is projected to push the limits of cropping systems and has the potential to disrupt the agricultural sector from local to global scales. This article introduces the Coordinated Climate-Crop Modeling Project (C3MP), an initiative of the Agricultural Model Intercomparison and Improvement Project (AgMIP) to engage a global network of crop modelers to explore the impacts of climate change via an investigation of crop responses to changes in carbon dioxide concentration ([CO2]), temperature, and water. As a demonstration of the C3MP protocols and enabled analyses, we apply the Decision Support System for Agrotechnology Transfer (DSSAT) CROPGRO-Peanut crop model for Henry County, Alabama, to evaluate responses to the range of plausible [CO2], temperature changes, and precipitation changes projected by climate models out to the end of the 21st century. These sensitivity tests are used to derive crop model emulators that estimate changes in mean yield and the coefficient of variation for seasonal yields across a broad range of climate conditions, reproducing mean yields from sensitivity test simulations with deviations of ca. 2% for rain-fed conditions. We apply these statistical emulators to investigate how peanuts respond to projections from various global climate models, time periods, and emissions scenarios, finding a robust projection of modest (20%) losses and larger uncertainty at the end of the century under the more severe representative concentration pathway (RCP8.5). This projection is not substantially altered by the selection of the AgMERRA global gridded climate dataset rather than the local historical observations, differences between the Third and Fifth Coupled Model Intercomparison Project (CMIP3 and CMIP5), or the use of the delta method of climate impacts analysis rather than the C3MP impacts response surface and emulator approach.

SLICEIT and TAHMO Partnerships: Students Local and International Collaboration for Climate and Environmental Monitoring, Technology Development, Education, Adaptation and Mitigation

Science.gov (United States)

Aishlin, P. S.; Selker, J. S.

2015-12-01

Climate change understanding and impacts vary by community, yet the global nature of climate change requires international collaboration to address education, monitoring, adaptation and mitigation needs. We propose that effective climate change monitoring and education can be accomplished via student-led local and international community partnerships. By empowering students as community leaders in climate-environmental monitoring and education, as well as exploration of adaptation/mitigation needs, well-informed communities and young leadership are developed to support climate change science moving forward. Piloted 2013-2015, the SLICEIT1 program partnered with TAHMO2 to connect student leaders in North America, Europe and Africa. At the international level, schools in the U.S.A and Netherlands were partnered with schools in Ghana, Kenya, and Uganda for science and cultural exchange. Each school was equipped with a climate or other environmental sensing system, real-time data publication and curricula for both formal and informal science, technology, engineering and math education and skill development. African counterparts in TAHMO's School-2-School program collect critically important data for enhanced on-the-ground monitoring of weather conditions in data-scarce regions of Africa. In Idaho, student designed, constructed and installed weather stations provide real time data for classroom and community use. Student-designed formal educational activities are disseminated to project partners, increasing hands-on technology education and peer-based learning. At the local level, schools are partnered with a local agency, research institute, nonprofit organization, industry and/or community partner that supplies a climate science expert mentor to SLICEIT program leaders and teachers. Mentor engagement is facilitated and secured by program components that directly benefit the mentor's organization and local community via climate/environment monitoring, student workforce

The Distribution of Climate Change Public Opinion in Canada.

Directory of Open Access Journals (Sweden)

Matto Mildenberger

Full Text Available While climate scientists have developed high resolution data sets on the distribution of climate risks, we still lack comparable data on the local distribution of public climate change opinions. This paper provides the first effort to estimate local climate and energy opinion variability outside the United States. Using a multi-level regression and post-stratification (MRP approach, we estimate opinion in federal electoral districts and provinces. We demonstrate that a majority of the Canadian public consistently believes that climate change is happening. Belief in climate change's causes varies geographically, with more people attributing it to human activity in urban as opposed to rural areas. Most prominently, we find majority support for carbon cap and trade policy in every province and district. By contrast, support for carbon taxation is more heterogeneous. Compared to the distribution of US climate opinions, Canadians believe climate change is happening at higher levels. This new opinion data set will support climate policy analysis and climate policy decision making at national, provincial and local levels.

The Distribution of Climate Change Public Opinion in Canada.

Science.gov (United States)

Mildenberger, Matto; Howe, Peter; Lachapelle, Erick; Stokes, Leah; Marlon, Jennifer; Gravelle, Timothy

2016-01-01

While climate scientists have developed high resolution data sets on the distribution of climate risks, we still lack comparable data on the local distribution of public climate change opinions. This paper provides the first effort to estimate local climate and energy opinion variability outside the United States. Using a multi-level regression and post-stratification (MRP) approach, we estimate opinion in federal electoral districts and provinces. We demonstrate that a majority of the Canadian public consistently believes that climate change is happening. Belief in climate change's causes varies geographically, with more people attributing it to human activity in urban as opposed to rural areas. Most prominently, we find majority support for carbon cap and trade policy in every province and district. By contrast, support for carbon taxation is more heterogeneous. Compared to the distribution of US climate opinions, Canadians believe climate change is happening at higher levels. This new opinion data set will support climate policy analysis and climate policy decision making at national, provincial and local levels.

Sensitivity of tree ring growth to local and large-scale climate variability in a region of Southeastern Brazil

Science.gov (United States)

Venegas-González, Alejandro; Chagas, Matheus Peres; Anholetto Júnior, Claudio Roberto; Alvares, Clayton Alcarde; Roig, Fidel Alejandro; Tomazello Filho, Mario

2016-01-01

We explored the relationship between tree growth in two tropical species and local and large-scale climate variability in Southeastern Brazil. Tree ring width chronologies of Tectona grandis (teak) and Pinus caribaea (Caribbean pine) trees were compared with local (Water Requirement Satisfaction Index—WRSI, Standardized Precipitation Index—SPI, and Palmer Drought Severity Index—PDSI) and large-scale climate indices that analyze the equatorial pacific sea surface temperature (Trans-Niño Index-TNI and Niño-3.4-N3.4) and atmospheric circulation variations in the Southern Hemisphere (Antarctic Oscillation-AAO). Teak trees showed positive correlation with three indices in the current summer and fall. A significant correlation between WRSI index and Caribbean pine was observed in the dry season preceding tree ring formation. The influence of large-scale climate patterns was observed only for TNI and AAO, where there was a radial growth reduction in months preceding the growing season with positive values of the TNI in teak trees and radial growth increase (decrease) during December (March) to February (May) of the previous (current) growing season with positive phase of the AAO in teak (Caribbean pine) trees. The development of a new dendroclimatological study in Southeastern Brazil sheds light to local and large-scale climate influence on tree growth in recent decades, contributing in future climate change studies.

Reflections on the uptake of climate change policies by local governments: facing the challenges of mitigation and adaptation

NARCIS (Netherlands)

Hoppe, Thomas; van den Berg, Maya Marieke; Coenen, Franciscus H.J.M.

2014-01-01

Background: There is a growing body of literature that examines the role of local governments in addressing climate change vis-a-vis mitigation and adaptation. Although it appears that climate change mitigation strategies - in particular those addressing energy issues - are being adopted by a large

Operationalizing analysis of micro-level climate change vulnerability and adaptive capacity

DEFF Research Database (Denmark)

Jiao, Xi; Moinuddin, Hasan

2016-01-01

This paper explores vulnerability and adaptive capacity of rural communities in Southern Laos, where households are highly dependent on climate-sensitive natural resources and vulnerable to seasonal weather fluctuations. The speed and magnitude of climate-induced changes may seriously challenge...... their ability to adapt. Participatory group discussions and 271 household surveys in three villages highlight the current level of vulnerability and adaptive capacity towards climatic variability and risks. This paper visualizes three dimensions of the vulnerability framework at two levels using the Community...... Climate Vulnerability Index and household climate vulnerability cube. Results show that not only poor households are most at risk from climate change challenges, but also those better-off households highly dependent on specialized agricultural production are locally exposed to climate change risks...

Nordic Analysis of Climate Friendly Buildings

DEFF Research Database (Denmark)

Andresen, Inger; Thomsen, Kirsten Engelund; Wahlstrøm, Åsa

This report summarizes the findings of the work conducted within the project “Nordic Analysis of Climate Friendly Buildings”, financed by the Nordic Council of Ministers. The main goal of the project was to establish a knowledge and decision base for a Nordic innovation program that will promote...... the development and demonstration of low energy and climate friendly buildings. The innovation program should support a development that brings the Nordic countries to an international forefront with respect to business strongholds and market penetration of low energy and climate friendly buildings....

Vulnerability of Thai rice production to simultaneous climate and socioeconomic changes: a double exposure analysis

Science.gov (United States)

Sangpenchan, R.

2011-12-01

This research explores the vulnerability of Thai rice production to simultaneous exposure by climate and socioeconomic change -- so-called "double exposure." Both processes influence Thailand's rice production system, but the vulnerabilities associated with their interactions are unknown. To understand this double exposure, I adopts a mixed-method, qualitative-quantitative analytical approach consisting of three phases of analysis involving a Vulnerability Scoping Diagram, a Principal Component Analysis, and the EPIC crop model using proxy datasets collected from secondary data sources at provincial scales.The first and second phases identify key variables representing each of the three dimensions of vulnerability -- exposure, sensitivity, and adaptive capacity indicating that the greatest vulnerability in the rice production system occurs in households and areas with high exposure to climate change, high sensitivity to climate and socioeconomic stress, and low adaptive capacity. In the third phase, the EPIC crop model simulates rice yields associated with future climate change projected by CSIRO and MIROC climate models. Climate change-only scenarios project the decrease in yields by 10% from the current productivity during 2016-2025 and 30% during 2045-2054. Scenarios applying both climate change and improved technology and management practices show that a 50% increase in rice production is possible, but requires strong collaboration between sectors to advance agricultural research and technology and requires strong adaptive capacity in the rice production system characterized by well-developed social capital, social networks, financial capacity, and infrastructure and household mobility at the local scale. The vulnerability assessment and climate and crop adaptation simulations used here provide useful information to decision makers developing vulnerability reduction plans in the face of concurrent climate and socioeconomic change.

Exploring the science–policy interface on climate change: The role of the IPCC in informing local decision-making in the UK

OpenAIRE

Candice Howarth; James Painter

2016-01-01

Building on the Intergovernmental Panel on Climate Change’s (IPCC) review of\\ud how to make its Assessment Reports (ARs) more accessible in the future, the research\\ud reported here assesses the extent to which the ARs are a useful tool through which scientific\\ud advice informs local decision-making on climate change in the United Kingdom. Results from\\ud interviews with local policy representatives and three workshops with UK academics, practitioners\\ud and local decision makers are present...

Local and global effects of climate on dengue transmission in Puerto Rico.

Directory of Open Access Journals (Sweden)

Michael A Johansson

Full Text Available The four dengue viruses, the agents of dengue fever and dengue hemorrhagic fever in humans, are transmitted predominantly by the mosquito Aedes aegypti. The abundance and the transmission potential of Ae. aegypti are influenced by temperature and precipitation. While there is strong biological evidence for these effects, empirical studies of the relationship between climate and dengue incidence in human populations are potentially confounded by seasonal covariation and spatial heterogeneity. Using 20 years of data and a statistical approach to control for seasonality, we show a positive and statistically significant association between monthly changes in temperature and precipitation and monthly changes in dengue transmission in Puerto Rico. We also found that the strength of this association varies spatially, that this variation is associated with differences in local climate, and that this relationship is consistent with laboratory studies of the impacts of these factors on vector survival and viral replication. These results suggest the importance of temperature and precipitation in the transmission of dengue viruses and suggest a reason for their spatial heterogeneity. Thus, while dengue transmission may have a general system, its manifestation on a local scale may differ from global expectations.

Developing A Transdisciplinary Process and Community Partnerships to Anticipate Climate Change at the Local Level: The Role of Biophysical and Sociocultural Calendars

Science.gov (United States)

Kassam, K. A.; Samimi, C.; Trabucco, A.

2017-12-01

Difference is essential to solving the most complex problems faced by humanity. Anthropogenic climate change is one such "wicked problem" that demands cognitive diversity. Biophysical and social scientists must collaborate with scholars from the humanities to address practical issues of concern to local communities, which are at the forefront of impacts of climatic variation. As such, communities of inquirers (e.g. biophysical and social sciences, humanities) must work in tandem with communities of practice (e.g. farmers, fishers, gatherers, herders, hunters). This leads to co-generated knowledge where an adaptation strategy to climatic variation is locally grounded in the biophysical and sociocultural context of the communities where the impacts of climatic variation are most felt. We will present an innovative and `real time' example participatory and transdisciplinary research from an international project where we are developing integrated biophysical and sociocultural calendars, in short, ecological calendars, which are ecologically and culturally grounded in the local context to develop anticipatory capacity to anthropogenic climate change.

An Addendum to "A New Tool for Climatic Analysis Using Köppen Climate Classification"

Science.gov (United States)

Larson, Paul R.; Lohrengel, C. Frederick, II

2014-01-01

The Köppen climatic classification system in a modified format is the most widely applied system in use today. Mapping and analysis of hundreds of arid and semiarid climate stations has made the use of the additional fourth letter in BW/BS climates essential. The addition of "s," "w," or "f" to the standard…

Fitness declines towards range limits and local adaptation to climate affect dispersal evolution during climate‐induced range shifts

DEFF Research Database (Denmark)

Hargreaves, Anna; Bailey, Susan; Laird, Robert

2015-01-01

Dispersal ability will largely determine whether species track their climatic niches during climate change, a process especially important for populations at contracting (low-latitude/low-elevation) range limits that otherwise risk extinction. We investigate whether dispersal evolution....... We simulate a species distributed continuously along a temperature gradient using a spatially explicit, individual-based model. We compare range-wide dispersal evolution during climate stability vs. directional climate change, with uniform fitness vs. fitness that declines towards range limits (RLs...... at contracting range limits is facilitated by two processes that potentially enable edge populations to experience and adjust to the effects of climate deterioration before they cause extinction: (i) climate-induced fitness declines towards range limits and (ii) local adaptation to a shifting climate gradient...

The relative roles of local climate adaptation and phylogeny in determining leaf-out timing of temperate tree species

Directory of Open Access Journals (Sweden)

Elsa Desnoues

2017-12-01

Full Text Available Background Leaf out times of temperate forest trees are a prominent determinant of global carbon dynamics throughout the year. Abiotic cues of leaf emergence are well studied but investigation of the relative roles of shared evolutionary history (phylogeny and local adaptation to climate in determining the species-level responses to these cues is needed to better apprehend the effect of global change on leaf emergence. We explored the relative importance of phylogeny and climate in determining the innate leaf out phenology across the temperate biome. Methods We used an extensive dataset of leaf-out dates of 1126 temperate woody species grown in eight Northern Hemisphere common gardens. For these species, information on the native climate and phylogenetic position was collected. Using linear regression analyses, we examine the relative effect of climate variables and phylogeny on leaf out variation among species. Results Climate variables explained twice as much variation in leaf out timing as phylogenetic information, a process that was driven primarily by the complex interactive effects of multiple climate variables. Although the primary climate factors explaining species-level variation in leaf-out timing varied drastically across different families, our analyses reveal that local adaptation plays a stronger role than common evolutionary history in determining tree phenology across the temperate biome. Conclusions In the long-term, the direct effects of physiological adaptation to abiotic effects of climate change on forest phenology are likely to outweigh the indirect effects mediated through changes in tree species composition.

Future local and remote influences on Mediterranean ozone air quality and climate forcing

Science.gov (United States)

Arnold, Steve; Martin, Maria Val; Emmons, Louisa; Rap, Alex; Heald, Colette; Lamarque, Jean-Francois; Tilmes, Simone

2013-04-01

The Mediterranean region is expected to display large increases in population over the coming decades, and to exhibit strong sensitivity to projected climate change, with increasing frequency of extreme summer temperatures and decreases in precipitation. Understanding of how these changes will affect atmospheric composition in the region is limited. The eastern Mediterranean basin has been shown to exhibit a pronounced summertime local maximum in tropospheric ozone, which impacts both local air quality and the atmospheric radiation balance. In summer, the region is subject to import of pollution from Northern Europe in the boundary layer and lower troposphere, from North American sources in the large-scale westerly flow of the free mid and upper-troposphere, as well as import of pollution lofted in the Asian monsoon and carried west to the eastern Mediterranean in anticyclonic flow in the upper troposphere over north Africa. In addition, interactions with the land-surface through biogenic emission sources and dry deposition play important roles in the Mediterranean ozone budget. Here we use the NCAR Community Earth System Model (CESM) to investigate how tropospheric ozone in the Mediterranean region responds to climate, land surface and global emissions changes between present day and 2050. We simulate climate and atmospheric composition for the year 2050, based on greenhouse gas abundances, trace gas and aerosol emissions and land cover and use from two representative concentration pathway (RCP) scenarios (RCP4.5 & RCP8.5), designed for use by the Coupled Model Intercomparison Project Phase 5(CMIP5) experiments in support of the IPCC. By comparing these simulations with a present-day scenario, we investigate the effects of predicted changes in climate and emissions on air quality and climate forcing over the Mediterranean region. The simulations suggest decreases in boundary layer ozone and sulfate aerosol throughout the tropospheric column over the Mediterranean

Regional analysis of ground and above-ground climate

Science.gov (United States)

1981-12-01

The regional suitability of underground construction as a climate control technique is discussed with reference to (1) a bioclimatic analysis of long term weather data for 29 locations in the United States to determine appropriate above ground climate control techniques, (2) a data base of synthesized ground temperatures for the coterminous United States, and (3) monthly dew point ground temperature comparisons for identifying the relative likelihood of condensation from one region to another. It is concluded that the suitability of Earth tempering as a practice and of specific Earth sheltered design stereotypes varies geographically; while the subsurface almost always provides a thermal advantage on its own terms when compared to above ground climatic data, it can, nonetheless, compromise the effectiveness of other, regionally more important climate control techniques. Reviews of above and below ground climate mapping schemes related to human comfort and architectural design, and detailed description of a theoretical model of ground temperature, heat flow, and heat storage in the ground are included. Strategies of passive climate control are presented in a discussion of the building bioclimatic analysis procedure which has been applied in a computer analysis of 30 years of weather data for each of 20 locations in the United States.

Regional analysis of ground and above-ground climate

Energy Technology Data Exchange (ETDEWEB)

1981-12-01

The regional suitability of underground construction as a climate control technique is discussed with reference to (1) a bioclimatic analysis of long-term weather data for 29 locations in the United States to determine appropriate above ground climate control techniques, (2) a data base of synthesized ground temperatures for the coterminous United States, and (3) monthly dew point ground temperature comparisons for identifying the relative likelihood of condensation from one region to another. It is concluded that the suitability of earth tempering as a practice and of specific earth-sheltered design stereotypes varies geographically; while the subsurface almost always provides a thermal advantage on its own terms when compared to above ground climatic data, it can, nonetheless, compromise the effectiveness of other, regionally more important climate control techniques. Also contained in the report are reviews of above and below ground climate mapping schemes related to human comfort and architectural design, and detailed description of a theoretical model of ground temperature, heat flow, and heat storage in the ground. Strategies of passive climate control are presented in a discussion of the building bioclimatic analysis procedure which has been applied in a computer analysis of 30 years of weather data for each of 29 locations in the United States.

Assessing local and regional economic impacts of climatic extremes and feasibility of adaptation measures in Dutch arable farming systems

NARCIS (Netherlands)

Diogo, V.; Reidsma, P.; Schaap, B.; Andree, B. P.J.; Koomen, E.

2017-01-01

We propose a method that combines local productivity factors, economic factors, crop-specific sensitivity to climatic extremes, and future climate change scenarios, to assess potential impacts of extreme weather events on agricultural production systems. Our assessment is spatially explicit and uses

Observations of Local Positive Low Cloud Feedback Patterns and Their Role in Internal Variability and Climate Sensitivity

Science.gov (United States)

Yuan, Tianle; Oreopoulos, Lazaros; Platnick, Steven E.; Meyer, Kerry

2018-05-01

Modeling studies have shown that cloud feedbacks are sensitive to the spatial pattern of sea surface temperature (SST) anomalies, while cloud feedbacks themselves strongly influence the magnitude of SST anomalies. Observational counterparts to such patterned interactions are still needed. Here we show that distinct large-scale patterns of SST and low-cloud cover (LCC) emerge naturally from objective analyses of observations and demonstrate their close coupling in a positive local SST-LCC feedback loop that may be important for both internal variability and climate change. The two patterns that explain the maximum amount of covariance between SST and LCC correspond to the Interdecadal Pacific Oscillation and the Atlantic Multidecadal Oscillation, leading modes of multidecadal internal variability. Spatial patterns and time series of SST and LCC anomalies associated with both modes point to a strong positive local SST-LCC feedback. In many current climate models, our analyses suggest that SST-LCC feedback strength is too weak compared to observations. Modeled local SST-LCC feedback strength affects simulated internal variability so that stronger feedback produces more intense and more realistic patterns of internal variability. To the extent that the physics of the local positive SST-LCC feedback inferred from observed climate variability applies to future greenhouse warming, we anticipate significant amount of delayed warming because of SST-LCC feedback when anthropogenic SST warming eventually overwhelm the effects of internal variability that may mute anthropogenic warming over parts of the ocean. We postulate that many climate models may be underestimating both future warming and the magnitude of modeled internal variability because of their weak SST-LCC feedback.

Exploratory Climate Data Visualization and Analysis Using DV3D and UVCDAT

Science.gov (United States)

Maxwell, Thomas

2012-01-01

Earth system scientists are being inundated by an explosion of data generated by ever-increasing resolution in both global models and remote sensors. Advanced tools for accessing, analyzing, and visualizing very large and complex climate data are required to maintain rapid progress in Earth system research. To meet this need, NASA, in collaboration with the Ultra-scale Visualization Climate Data Analysis Tools (UVCOAT) consortium, is developing exploratory climate data analysis and visualization tools which provide data analysis capabilities for the Earth System Grid (ESG). This paper describes DV3D, a UV-COAT package that enables exploratory analysis of climate simulation and observation datasets. OV3D provides user-friendly interfaces for visualization and analysis of climate data at a level appropriate for scientists. It features workflow inte rfaces, interactive 40 data exploration, hyperwall and stereo visualization, automated provenance generation, and parallel task execution. DV30's integration with CDAT's climate data management system (COMS) and other climate data analysis tools provides a wide range of high performance climate data analysis operations. DV3D expands the scientists' toolbox by incorporating a suite of rich new exploratory visualization and analysis methods for addressing the complexity of climate datasets.

How the Alliance for Climate Education engages national and local partners to achieve collective impact in climate literacy and action (Invited)

Science.gov (United States)

Lappe, M.; Gonzalez, R.; Shanley Hope, S.

2013-12-01

The Alliance for Climate Education (ACE) has a mission to educate and inspire young people to break through the challenge of climate change. ACE believes that achieving a safe and stable climate in our lifetime requires the ideas, action and influence of young people. Since 2009, ACE has reached almost 2 million teens in 2,200 schools in over 20 states across the US. In order to support these young people to become leaders in their schools and communities, ACE works closely with local and national partners. In this presentation, ACE will discuss strategic partnerships that have yielded measurable impact and explore how nonprofits, universities, school districts, private companies and government agencies can more effectively align efforts to achieve shared goals. Examples of successful partnerships discussed will include PG&E, Chicago Public Schools, Monterey Bay Aquarium, DC Public Schools, the Climate Literacy and Energy Awareness Network, NOAA, The Next Generation, Los Angeles Public Schools and research universities. ACE will also discuss how research in the field of transformational leadership informs our partnership strategy.

Climate-induced signatures in the zooplankton communities: a meta-analysis at a European scale.

Directory of Open Access Journals (Sweden)

Sónia Cotrim Marques

2014-05-01

Full Text Available Several recent studies have revealed the impacts of the climate variability in the dynamic of zooplankton in different estuarine ecosystems, imposing a need for more and continued global studies. Presently, there is a growing appreciation in international collaborations to compare and contrast estuarine ecosystem response to climate variability across geographical gradients, including long-term changes in zooplankton. We performed a meta-analysis comprising field data from 7 location (Mondego estuary-Portugal, Seine estuary- France, Sheldt estuary- Belgium, Kiel fjord - Germany, Gulf of Riga- Latvia, Gulf of Bothnia – Sweden and Finland Archipelagos. The use of climatic modes (e.g. NAO, ENSO has proven useful in investigating links between climatic variations and ecological patterns. Therefore, the main focus will be to test the influence of the NAO on abundance of organisms, key species, local environment and whether these relationships are generally positive, whether they are sensitive to methodological differences among studies, between taxonomic group and key species. The knowledge gained will contribute to quantitatively evaluate the multi-scale structure of climate and marine environment and to identify a set of environmental indicators to assess the estuarine ecosystem state and risks for ecological shifts.

Climate Change Effects and Impacts Assessment. A guidance manual for Local Government in New Zealand

International Nuclear Information System (INIS)

Wratt, D.; Mullan, B.; Salinger, J.; Allan, S.; Morgan, T.; Kenny, G.

2004-05-01

Climate change is a real and internationally recognised outcome of increased amounts of greenhouse gases in the atmosphere. It will have effects over the next decades that are predictable with some level of certainty, but which will vary from place to place throughout New Zealand. The climate will also change from year to year and decade to decade due to natural processes. For example, some parts of the country often have dry summers and autumns when an El Nino climate pattern is present. Both natural fluctuations and human-induced climate changes need to be considered when developing adaptation plans and policies, rather than just 'greenhouse warming' effects on their own. Councils already address extreme weather events and climate variations as they develop plans and provide services. Climate change effects need also to be considered as part of these regulatory, assessment and planning activities. It is not necessary to develop a set of procedures for dealing separately with effects and impacts of climate change - they can be built into existing practices. Over time, climate change responses will involve iterative planning processes, keeping up-to-date with new information, monitoring changes, and reviewing the effectiveness of responses. The response to climate change involves international, national, regional, district and community consideration and action. The Guidance Manual aims to assist local government in working with its communities and making appropriate decisions.

Interactive Correlation Analysis and Visualization of Climate Data

Energy Technology Data Exchange (ETDEWEB)

Ma, Kwan-Liu [Univ. of California, Davis, CA (United States)

2016-09-21

The relationship between our ability to analyze and extract insights from visualization of climate model output and the capability of the available resources to make those visualizations has reached a crisis point. The large volume of data currently produced by climate models is overwhelming the current, decades-old visualization workflow. The traditional methods for visualizing climate output also have not kept pace with changes in the types of grids used, the number of variables involved, and the number of different simulations performed with a climate model or the feature-richness of high-resolution simulations. This project has developed new and faster methods for visualization in order to get the most knowledge out of the new generation of high-resolution climate models. While traditional climate images will continue to be useful, there is need for new approaches to visualization and analysis of climate data if we are to gain all the insights available in ultra-large data sets produced by high-resolution model output and ensemble integrations of climate models such as those produced for the Coupled Model Intercomparison Project. Towards that end, we have developed new visualization techniques for performing correlation analysis. We have also introduced highly scalable, parallel rendering methods for visualizing large-scale 3D data. This project was done jointly with climate scientists and visualization researchers at Argonne National Laboratory and NCAR.

A regime shift in the Sun-Climate connection with the end of the Medieval Climate Anomaly.

Science.gov (United States)

Smirnov, D A; Breitenbach, S F M; Feulner, G; Lechleitner, F A; Prufer, K M; Baldini, J U L; Marwan, N; Kurths, J

2017-09-11

Understanding the influence of changes in solar activity on Earth's climate and distinguishing it from other forcings, such as volcanic activity, remains a major challenge for palaeoclimatology. This problem is best approached by investigating how these variables influenced past climate conditions as recorded in high precision paleoclimate archives. In particular, determining if the climate system response to these forcings changes through time is critical. Here we use the Wiener-Granger causality approach along with well-established cross-correlation analysis to investigate the causal relationship between solar activity, volcanic forcing, and climate as reflected in well-established Intertropical Convergence Zone (ITCZ) rainfall proxy records from Yok Balum Cave, southern Belize. Our analysis reveals a consistent influence of volcanic activity on regional Central American climate over the last two millennia. However, the coupling between solar variability and local climate varied with time, with a regime shift around 1000-1300 CE after which the solar-climate coupling weakened considerably.

Population, Environment, and Climate in the Albertine Rift: Understanding Local Impacts of Regional Change

Science.gov (United States)

Hartter, J.; Ryan, S. J.; Diem, J.; Palace, M. W.

2012-12-01

Climate change is of critical concern for conservation and to develop appropriate policies and responses, it is important not only to anticipate the nature of changes, but also how they are perceived, interpreted and adapted to by local people. The Albertine Rift in East Africa is one of the most threatened biodiversity hotspots due to dense settlement, extreme poverty, and land conversion. We synthesize ongoing NSF-CNH research, where Ugandan park landscapes are examined to understand the impacts of climate change on livelihoods. Kibale National Park, the main study site, exemplifies the challenges facing many parks because of its isolation within a densely populated agricultural landscape. Three separate household surveys (n=251, 130, 100) reveal that the most perceived benefits provided by Kibale were ecosystem services and farmers cite rainfall as one of the park's most important benefits, but are also concerned with variable precipitation. Analysis of 30+ years of daily rainfall station data shows total rainfall has not changed significantly, but timing and transitions of seasons and intra-seasonal distribution are highly variable, which may contribute to changes in farming schedules and threaten food security. Further, the contrast between land use/cover change over 25 years around the park and the stability of forest within the park underscores the need to understand this landscape for future sustainability planning and the inevitable population growth outside its boundaries. Understanding climate change impacts and feedbacks to and from socio-ecological systems are important to address the dual challenge of biodiversity conservation and poverty alleviation.

Estimating live fuel status by drought indices: an approach for assessing local impact of climate change on fire danger

Science.gov (United States)

Pellizzaro, Grazia; Dubrovsky, Martin; Bortolu, Sara; Ventura, Andrea; Arca, Bachisio; Masia, Pierpaolo; Duce, Pierpaolo

2014-05-01

Mediterranean shrubs are an important component of both Mediterranean vegetation communities and understorey vegetation. They also constitute the surface fuels primarily responsible for the ignition and the spread of wildland fires in Mediterranean forests. Although fire spread and behaviour are dependent on several factors, the water content of live fuel plays an important role in determining fire occurrence and spread, especially in the Mediterranean shrubland, where live fuel is often the main component of the available fuel which catches fire. According to projections on future climate, an increase in risk of summer droughts is likely to take place in Southern Europe. More prolonged drought seasons induced by climatic changes are likely to influence general flammability characteristics of fuel, affecting load distribution in vegetation strata, floristic composition, and live and dead fuel ratio. In addition, variations in precipitation and mean temperature could directly affect fuel water status, and consequently flammability, and length of critical periods of high ignition danger for Mediterranean ecosystems. The main aim of this work was to propose a methodology for evaluating possible impacts of future climate change on moisture dynamic and length of fire danger period at local scale. Specific objectives were: i) evaluating performances of meteorological drought indices in describing seasonal pattern of live fuel moisture content (LFMC), and ii) simulating the potential impacts of future climate changes on the duration of fire danger period. Measurements of LFMC seasonal pattern of three Mediterranean shrub species were performed in North Western Sardinia (Italy) for 8 years. Seasonal patterns of LFMC were compared with the Drought Code of the Canadian Forest Fire Weather Index and the Keetch-Byram Drought Index. Analysis of frequency distribution and cumulative distribution curves were carried out in order to evaluate performance of codes and to identify

Using ESRI Story Maps for Engaging Tribal Youth in Localized Climate Education

Science.gov (United States)

Masters, E. L.; Marsik, F. J.; Sonderegger, C.

2017-12-01

A critical step in any climate adaptation initiative is the engagement of the community through educational outreach about the impacts of climate change on vulnerable economic, infrastructure and natural resources within the community. For Tribal communities, such outreach must also highlight connections between these vulnerable assets, such as natural resources, and Tribal cultural practices. For adult members of these communities, the combination of traditional ecological knowledge and western science approaches can prove effective in this regard. For Tribal youth, the often complex and data-heavy nature of western science approaches may prove to be more of an obstacle than an aid in communicating the impacts of our changing climate on their local Tribal community. A collaborative educational effort between the Grand Traverse Band of Ottawa and Chippewa Indians (Peshawbestown, MI) and the University of Michigan seeks to lean upon the rich tradition of storytelling as a method of conveying information to younger generations. The ESRI Story Maps platform provides such a tool through its combined use of narratives, images, maps, and data. The ability to make a Story Map deep and complex, or simple and fun, makes this application ideal for communicating with a range of people, from school-age children to adults. For our project, we created two Story Maps with different complexity levels, with one for elementary to middle school students, and the other targeted at high school students. The project for younger children was aimed at engaging viewers through a series of images and maps, introducing them to the basics of what wetlands are, which types of wetlands can be found locally, Indigenous cultural connections to wetlands, and how to protect wetlands. The more complex project provided a more expansive discussion of these same topics, including threats to these wetlands from human activities, including climate change, as well as an extensive list of references and a

Tailoring the visual communication of climate projections for local adaptation practitioners in Germany and the UK.

Science.gov (United States)

Lorenz, Susanne; Dessai, Suraje; Forster, Piers M; Paavola, Jouni

2015-11-28

Visualizations are widely used in the communication of climate projections. However, their effectiveness has rarely been assessed among their target audience. Given recent calls to increase the usability of climate information through the tailoring of climate projections, it is imperative to assess the effectiveness of different visualizations. This paper explores the complexities of tailoring through an online survey conducted with 162 local adaptation practitioners in Germany and the UK. The survey examined respondents' assessed and perceived comprehension (PC) of visual representations of climate projections as well as preferences for using different visualizations in communicating and planning for a changing climate. Comprehension and use are tested using four different graph formats, which are split into two pairs. Within each pair the information content is the same but is visualized differently. We show that even within a fairly homogeneous user group, such as local adaptation practitioners, there are clear differences in respondents' comprehension of and preference for visualizations. We do not find a consistent association between assessed comprehension and PC or use within the two pairs of visualizations that we analysed. There is, however, a clear link between PC and use of graph format. This suggests that respondents use what they think they understand the best, rather than what they actually understand the best. These findings highlight that audience-specific targeted communication may be more complex and challenging than previously recognized. © 2015 The Authors.

NOAA Climate Information and Tools for Decision Support Services

Science.gov (United States)

Timofeyeva, M. M.; Higgins, W.; Strager, C.; Horsfall, F. M.

2013-12-01

provision of information that will help guide long-term preparedness for severe weather events and extreme conditions as well as climate variability and change GFCS recently summarized examples of existing initiatives to advance provision of climate services in the 2012 publication Climate ExChange. In this publication, NWS introduced the new Local Climate Analysis Tool (LCAT), a tool that is used to conduct local climate studies that are needed to create efficient and reliable guidance for DSS. LCAT allows for analyzing trends in local climate variables and identifying local impacts of climate variability (e.g., ENSO) on weather and water conditions. In addition to LCAT, NWS, working in partnership with the North East Regional Climate center, released xmACIS version 2, a climate data mining tool, for NWS field operations. During this talk we will demonstrate LCAT and xmACIS as well as outline several examples of their application to DSS and its potential use for achieving GFCS goals. The examples include LCAT-based temperature analysis for energy decisions, guidance on weather and water events leading to increased algal blooms and red tide months in advance, local climate sensitivities to droughts, probabilities of hot/cold conditions and their potential impacts on agriculture and fish kills or fish stress.

Civil protection and climate change impacts in the Netherlands: Local risk perceptions and actions

NARCIS (Netherlands)

van den Berg, Maya Marieke; Coenen, Franciscus H.J.M.

2010-01-01

Being a delta, one third of the Dutch territory consists of flood-prone areas. This article discusses how the local civil protection system in the Netherlands responds to increasing climate change-induced flooding risks in terms of risk perception and action. Case studies on three Safety Regions are

Using Online Dialogues to Connect Local Leaders and Climate Experts: Methods, Feedback and Lessons Learned from the Resilience Dialogues

Science.gov (United States)

Goodwin, M.; Pandya, R.; Weaver, C. P.; Zerbonne, S.; Bennett, N.; Spangler, B.

2017-12-01

Inclusive, multi-stakeholder dialogue, participatory planning and actionable science are necessary for just and effective climate resilience outcomes. How can we support that in practice? The Resilience Dialogues launched a public Beta in 2016-2017 to allow scientists and resilience practitioners to engage with local leaders from 10 communities around the US through a series of facilitated, online dialogues. We developed two, one-week dialogues for each community: one to consider ways to respond to observed and anticipated climate impacts through a resilience lens, and one to identify next steps and resources to advance key priorities. We divided the communities into three cohorts and refined the structure and facilitation strategy for these dialogues from one to the next based on participant feedback. This adaptive method helped participants engage in the dialogues more effectively and develop useful results. We distributed a survey to all participants following each cohort to capture feedback on the use and utility of the dialogues. While there was room for improvement in the program's technical interface, survey participants valued the dialogues and the opportunity to engage as equals. Local leaders said the dialogues helped identify new local pathways to approach resilience priorities. They felt they benefited from focused conversation and personalized introductions to best-matched resources. Practitioners learned how local leaders seek to apply climate science, and how to effectively communicate their expertise to community leaders in support of local planning efforts. We learned there is demand for specialized dialogues on issues like communication, financing and extreme weather. Overall, the desire of participants to continue to engage through this program, and others to enter, indicates that facilitated, open conversations between experts and local leaders can break down communication and access barriers between climate services providers and end

Local governments and climate change: sustainable energy planning and implementation in small and medium sized communities

National Research Council Canada - National Science Library

Van Staden, Maryke; Musco, Francesco

2010-01-01

...) motivations and actions. The most effective responses are those with a holistic, integrated and lon-term approach, addressing both climate change mitigation and adaptation, based on citizen and other local stakeholder involvement...

Coupled socioeconomic-crop modelling for the participatory local analysis of climate change impacts on smallholder farmers in Guatemala

Science.gov (United States)

Malard, J. J.; Adamowski, J. F.; Wang, L. Y.; Rojas, M.; Carrera, J.; Gálvez, J.; Tuy, H. A.; Melgar-Quiñonez, H.

2015-12-01

The modelling of the impacts of climate change on agriculture requires the inclusion of socio-economic factors. However, while cropping models and economic models of agricultural systems are common, dynamically coupled socio-economic-biophysical models have not received as much success. A promising methodology for modelling the socioeconomic aspects of coupled natural-human systems is participatory system dynamics modelling, in which stakeholders develop mental maps of the socio-economic system that are then turned into quantified simulation models. This methodology has been successful in the water resources management field. However, while the stocks and flows of water resources have also been represented within the system dynamics modelling framework and thus coupled to the socioeconomic portion of the model, cropping models are ill-suited for such reformulation. In addition, most of these system dynamics models were developed without stakeholder input, limiting the scope for the adoption and implementation of their results. We therefore propose a new methodology for the analysis of climate change variability on agroecosystems which uses dynamically coupled system dynamics (socio-economic) and biophysical (cropping) models to represent both physical and socioeconomic aspects of the agricultural system, using two case studies (intensive market-based agricultural development versus subsistence crop-based development) from rural Guatemala. The system dynamics model component is developed with relevant governmental and NGO stakeholders from rural and agricultural development in the case study regions and includes such processes as education, poverty and food security. Common variables with the cropping models (yield and agricultural management choices) are then used to dynamically couple the two models together, allowing for the analysis of the agroeconomic system's response to and resilience against various climatic and socioeconomic shocks.

Climate Trends and Farmers' Perceptions of Climate Change in Zambia.

Science.gov (United States)

Mulenga, Brian P; Wineman, Ayala; Sitko, Nicholas J

2017-02-01

A number of studies use meteorological records to analyze climate trends and assess the impact of climate change on agricultural yields. While these provide quantitative evidence on climate trends and the likely effects thereof, they incorporate limited qualitative analysis of farmers' perceptions of climate change and/or variability. The present study builds on the quantitative methods used elsewhere to analyze climate trends, and in addition compares local narratives of climate change with evidence found in meteorological records in Zambia. Farmers offer remarkably consistent reports of a rainy season that is growing shorter and less predictable. For some climate parameters-notably, rising average temperature-there is a clear overlap between farmers' observations and patterns found in the meteorological records. However, the data do not support the perception that the rainy season used to begin earlier, and we generally do not detect a reported increase in the frequency of dry spells. Several explanations for these discrepancies are offered. Further, we provide policy recommendations to help farmers adapt to climate change/variability, as well as suggestions to shape future climate change policies, programs, and research in developing countries.

Predicting local dengue transmission in Guangzhou, China, through the influence of imported cases, mosquito density and climate variability.

Directory of Open Access Journals (Sweden)

Shaowei Sang

Full Text Available Each year there are approximately 390 million dengue infections worldwide. Weather variables have a significant impact on the transmission of Dengue Fever (DF, a mosquito borne viral disease. DF in mainland China is characterized as an imported disease. Hence it is necessary to explore the roles of imported cases, mosquito density and climate variability in dengue transmission in China. The study was to identify the relationship between dengue occurrence and possible risk factors and to develop a predicting model for dengue's control and prevention purpose.Three traditional suburbs and one district with an international airport in Guangzhou city were selected as the study areas. Autocorrelation and cross-correlation analysis were used to perform univariate analysis to identify possible risk factors, with relevant lagged effects, associated with local dengue cases. Principal component analysis (PCA was applied to extract principal components and PCA score was used to represent the original variables to reduce multi-collinearity. Combining the univariate analysis and prior knowledge, time-series Poisson regression analysis was conducted to quantify the relationship between weather variables, Breteau Index, imported DF cases and the local dengue transmission in Guangzhou, China. The goodness-of-fit of the constructed model was determined by pseudo-R2, Akaike information criterion (AIC and residual test. There were a total of 707 notified local DF cases from March 2006 to December 2012, with a seasonal distribution from August to November. There were a total of 65 notified imported DF cases from 20 countries, with forty-six cases (70.8% imported from Southeast Asia. The model showed that local DF cases were positively associated with mosquito density, imported cases, temperature, precipitation, vapour pressure and minimum relative humidity, whilst being negatively associated with air pressure, with different time lags.Imported DF cases and mosquito

Climate, migration, and the local food security context: Introducing Terra Populus

Science.gov (United States)

Schlak, Allison M.; Kugler, Tracy A.

2016-01-01

Studies investigating the connection between environmental factors and migration are difficult to execute because they require the integration of microdata and spatial information. In this article, we introduce the novel, publically available data extraction system Terra Populus (TerraPop), which was designed to facilitate population-environment studies. We showcase the use of TerraPop by exploring variations in the climate-migration association in Burkina Faso and Senegal based on differences in the local food security context. Food security was approximated using anthropometric indicators of child stunting and wasting derived from Demographic and Health Surveys (DHS) and linked to the TerraPop extract of climate and migration information. We find that an increase in heat waves was associated with a decrease in international migration from Burkina Faso, while excessive precipitation increased international moves from Senegal. Significant interactions reveal that the adverse effects of heat waves and droughts are strongly amplified in highly food insecure Senegalese departments. PMID:27974863

Locally Downscaled and Spatially Customizable Climate Data for Historical and Future Periods for North America.

Science.gov (United States)

Wang, Tongli; Hamann, Andreas; Spittlehouse, Dave; Carroll, Carlos

2016-01-01

Large volumes of gridded climate data have become available in recent years including interpolated historical data from weather stations and future predictions from general circulation models. These datasets, however, are at various spatial resolutions that need to be converted to scales meaningful for applications such as climate change risk and impact assessments or sample-based ecological research. Extracting climate data for specific locations from large datasets is not a trivial task and typically requires advanced GIS and data management skills. In this study, we developed a software package, ClimateNA, that facilitates this task and provides a user-friendly interface suitable for resource managers and decision makers as well as scientists. The software locally downscales historical and future monthly climate data layers into scale-free point estimates of climate values for the entire North American continent. The software also calculates a large number of biologically relevant climate variables that are usually derived from daily weather data. ClimateNA covers 1) 104 years of historical data (1901-2014) in monthly, annual, decadal and 30-year time steps; 2) three paleoclimatic periods (Last Glacial Maximum, Mid Holocene and Last Millennium); 3) three future periods (2020s, 2050s and 2080s); and 4) annual time-series of model projections for 2011-2100. Multiple general circulation models (GCMs) were included for both paleo and future periods, and two representative concentration pathways (RCP4.5 and 8.5) were chosen for future climate data.

Development of a climate data analysis tool (CDAT)

Energy Technology Data Exchange (ETDEWEB)

Marlais, S.M.

1997-09-01

The Climate Data Analysis Tool (CDAT) is designed to provide the Program for Climate Model Diagnosis and Intercomparison (PCMDI) at Lawrence Livermore National Laboratory, California, with the capabilities needed to analyze model data with little effort on the part of the scientist, while performing complex mathematical calculations, and graphically displaying the results. This computer software will meet the demanding need of climate scientists by providing the necessary tools to diagnose, validate, and intercompare large observational and global climate model datasets.

Climate change impacts on coral reefs: synergies with local effects, possibilities for acclimation, and management implications.

Science.gov (United States)

Ateweberhan, Mebrahtu; Feary, David A; Keshavmurthy, Shashank; Chen, Allen; Schleyer, Michael H; Sheppard, Charles R C

2013-09-30

Most reviews concerning the impact of climate change on coral reefs discuss independent effects of warming or ocean acidification. However, the interactions between these, and between these and direct local stressors are less well addressed. This review underlines that coral bleaching, acidification, and diseases are expected to interact synergistically, and will negatively influence survival, growth, reproduction, larval development, settlement, and post-settlement development of corals. Interactions with local stress factors such as pollution, sedimentation, and overfishing are further expected to compound effects of climate change. Reduced coral cover and species composition following coral bleaching events affect coral reef fish community structure, with variable outcomes depending on their habitat dependence and trophic specialisation. Ocean acidification itself impacts fish mainly indirectly through disruption of predation- and habitat-associated behavior changes. Zooxanthellate octocorals on reefs are often overlooked but are substantial occupiers of space; these also are highly susceptible to bleaching but because they tend to be more heterotrophic, climate change impacts mainly manifest in terms of changes in species composition and population structure. Non-calcifying macroalgae are expected to respond positively to ocean acidification and promote microbe-induced coral mortality via the release of dissolved compounds, thus intensifying phase-shifts from coral to macroalgal domination. Adaptation of corals to these consequences of CO2 rise through increased tolerance of corals and successful mutualistic associations between corals and zooxanthellae is likely to be insufficient to match the rate and frequency of the projected changes. Impacts are interactive and magnified, and because there is a limited capacity for corals to adapt to climate change, global targets of carbon emission reductions are insufficient for coral reefs, so lower targets should be

Choosing and using climate change scenarios for ecological-impact assessments and conservation decisions

Science.gov (United States)

Amy K. Snover,; Nathan J. Mantua,; Littell, Jeremy; Michael A. Alexander,; Michelle M. McClure,; Janet Nye,

2013-01-01

Increased concern over climate change is demonstrated by the many efforts to assess climate effects and develop adaptation strategies. Scientists, resource managers, and decision makers are increasingly expected to use climate information, but they struggle with its uncertainty. With the current proliferation of climate simulations and downscaling methods, scientifically credible strategies for selecting a subset for analysis and decision making are needed. Drawing on a rich literature in climate science and impact assessment and on experience working with natural resource scientists and decision makers, we devised guidelines for choosing climate-change scenarios for ecological impact assessment that recognize irreducible uncertainty in climate projections and address common misconceptions about this uncertainty. This approach involves identifying primary local climate drivers by climate sensitivity of the biological system of interest; determining appropriate sources of information for future changes in those drivers; considering how well processes controlling local climate are spatially resolved; and selecting scenarios based on considering observed emission trends, relative importance of natural climate variability, and risk tolerance and time horizon of the associated decision. The most appropriate scenarios for a particular analysis will not necessarily be the most appropriate for another due to differences in local climate drivers, biophysical linkages to climate, decision characteristics, and how well a model simulates the climate parameters and processes of interest. Given these complexities, we recommend interaction among climate scientists, natural and physical scientists, and decision makers throughout the process of choosing and using climate-change scenarios for ecological impact assessment.

Data Envelopment Analysis of different climate policy scenarios

International Nuclear Information System (INIS)

Bosetti, Valentina; Buchner, Barbara

2009-01-01

Recent developments in the political, scientific and economic debate on climate change suggest that it is of critical importance to develop new approaches able to compare policy scenarios for their environmental effectiveness, their distributive effects, their enforceability, their costs and many other dimensions. This paper discusses a quantitative methodology to assess the relative performance of different climate policy scenarios when accounting for their long-term economic, social and environmental impacts. The proposed procedure is based on Data Envelopment Analysis, here employed in evaluating the relative efficiency of eleven global climate policy scenarios. The methodology provides a promising comparison framework; it can be seen as a way of setting some basic guidelines to frame further debates and negotiations and can be flexibly adopted and modified by decision makers to obtain relevant information for policy design. Three major findings emerge from this analysis: (1) stringent climate policies can outperform less ambitious proposals if all sustainability dimensions are taken into account; (2) a carefully chosen burden-sharing rule is able to bring together climate stabilisation and equity considerations; and (3) the most inefficient strategy results from the failure to negotiate a post-2012 global climate agreement. (author)

How normative interpretations of climate risk assessment affect local decision-making: an exploratory study at the city scale in Cork, Ireland

Science.gov (United States)

McDermott, T. K. J.; Surminski, S.

2018-06-01

Urban areas already suffer substantial losses in both economic and human terms from climate-related disasters. These losses are anticipated to grow substantially, in part as a result of the impacts of climate change. In this paper, we investigate the process of translating climate risk data into action for the city level. We apply a commonly used decision-framework as our backdrop and explore where in this process climate risk assessment and normative political judgements intersect. We use the case of flood risk management in Cork city in Ireland to investigate what is needed for translating risk assessment into action at the local city level. Evidence presented is based on focus group discussions at two stakeholder workshops, and a series of individual meetings and phone-discussions with stakeholders involved in local decision-making related to flood risk management and adaptation to climate change, in Ireland. Respondents were chosen on the basis of their expertise or involvement in the decision-making processes locally and nationally. Representatives of groups affected by flood risk and flood risk management and climate adaptation efforts were also included. The Cork example highlights that, despite ever more accurate data and an increasing range of theoretical approaches available to local decision-makers, it is the normative interpretation of this information that determines what action is taken. The use of risk assessments for decision-making is a process that requires normative decisions, such as setting `acceptable risk levels' and identifying `adequate' protection levels, which will not succeed without broader buy-in and stakeholder participation. Identifying and embracing those normative views up-front could strengthen the urban adaptation process-this may, in fact, turn out to be the biggest advantage of climate risk assessment: it offers an opportunity to create a shared understanding of the problem and enables an informed evaluation and discussion of

How normative interpretations of climate risk assessment affect local decision-making: an exploratory study at the city scale in Cork, Ireland.

Science.gov (United States)

McDermott, T K J; Surminski, S

2018-06-13

Urban areas already suffer substantial losses in both economic and human terms from climate-related disasters. These losses are anticipated to grow substantially, in part as a result of the impacts of climate change. In this paper, we investigate the process of translating climate risk data into action for the city level. We apply a commonly used decision-framework as our backdrop and explore where in this process climate risk assessment and normative political judgements intersect. We use the case of flood risk management in Cork city in Ireland to investigate what is needed for translating risk assessment into action at the local city level. Evidence presented is based on focus group discussions at two stakeholder workshops, and a series of individual meetings and phone-discussions with stakeholders involved in local decision-making related to flood risk management and adaptation to climate change, in Ireland. Respondents were chosen on the basis of their expertise or involvement in the decision-making processes locally and nationally. Representatives of groups affected by flood risk and flood risk management and climate adaptation efforts were also included. The Cork example highlights that, despite ever more accurate data and an increasing range of theoretical approaches available to local decision-makers, it is the normative interpretation of this information that determines what action is taken. The use of risk assessments for decision-making is a process that requires normative decisions, such as setting 'acceptable risk levels' and identifying 'adequate' protection levels, which will not succeed without broader buy-in and stakeholder participation. Identifying and embracing those normative views up-front could strengthen the urban adaptation process-this may, in fact, turn out to be the biggest advantage of climate risk assessment: it offers an opportunity to create a shared understanding of the problem and enables an informed evaluation and discussion of

Urban Vulnerability and Climate Change in Africa

DEFF Research Database (Denmark)

Urbanisation and climate change are among the major challenges for sustainable development in Africa. The overall aim of this book is to present innovative approaches to vulnerability analysis and for enhancing the resilience of African cities against climate change-induced risks. Locally adapted...... explores the role of governance in successfully coping with climate-induced risks in urban areas. The book is unique in that it combines: a top-down perspective of climate change modeling with a bottom-up perspective of vulnerability assessment; quantitative approaches from engineering sciences...

Generating relevant climate adaptation science tools in concert with local natural resource agencies

Science.gov (United States)

Micheli, L.; Flint, L. E.; Veloz, S.; Heller, N. E.

2015-12-01

To create a framework for adapting to climate change, decision makers operating at the urban-wildland interface need to define climate vulnerabilities in the context of site-specific opportunities and constraints relative to water supply, land use suitability, wildfire risks, ecosystem services and quality of life. Pepperwood's TBC3.org is crafting customized climate vulnerability assessments with selected water and natural resource agencies of California's Sonoma, Marin, Napa and Mendocino counties under the auspices of Climate Ready North Bay, a public-private partnership funded by the California Coastal Conservancy. Working directly with managers from the very start of the process to define resource-specific information needs, we are developing high-resolution, spatially-explicit data products to help local governments and agency staff implement informed and effective climate adaptation strategies. Key preliminary findings for the region using the USGS' Basin Characterization Model (at a 270 m spatial resolution) include a unidirectional trend, independent of greater or lesser precipitation, towards increasing climatic water deficits across model scenarios. Therefore a key message is that managers will be facing an increasingly arid environment. Companion models translate the impacts of shifting climate and hydrology on vegetation composition and fire risks. The combination of drought stress on water supplies and native vegetation with an approximate doubling of fire risks may demand new approaches to watershed planning. Working with agencies we are exploring how to build capacity for protection and enhancement of key watershed functions with a focus on groundwater recharge, facilitating greater drought tolerance in forest and rangeland systems, and considering more aggressive approaches to management of fuel loads. Lessons learned about effective engagement include the need for extended in-depth dialog, translation of key climate adaptation questions into

Guidebook for territories' support in the analysis of their socio-economical vulnerability to climate change

International Nuclear Information System (INIS)

2011-01-01

The work of the inter-ministerial group 'Impacts of Climate Change, Adaptation and Associated Costs for France', which met between March 2007 and October 2009, led to a sector-based assessment of all climate change related impacts and of associated adaptation measures. The aim was to obtain quantified elements that could underpin public policy decision-making and especially development of the National Adaptation Plan. While the sectoral analyses focused on quantifying the costs of adaptation, the approach of the 'Territories' group, co-steered by the Datar (regional development delegation) and Ademe (agency for energy management and environment), addressed the subject of interactions between players and activities, both spatial (sharing of resources between different uses, etc.) and temporal (transition from one situation to another, etc.) and the corresponding means for adjustment. It was in this context that the SOeS proposed a methodology for diagnosis of the socio-economic vulnerability of a given sub-national territory in the face of climate change. This document provides a broad-brush outline of the accompanying guidelines developed by Sogreah Consultants SAS for use by local players. A three step approach is followed to draw up the vulnerability profile of a territory: 1 - characterising the territory by the identification of the priority activities and physical features; 2 - using the analysis tools to produce a matrix of indices of vulnerability to climate change per hazard; 3 - drawing up an initial vulnerability profile by bringing together the information from the matrix and that from feedback, either by activity or group of activities, or by environment, depending on aims. The profile leads to identification of the important issues as well as allowing identification of potential impacts to be studied in more depth. Guidelines were tested in three pilot territories facing different climate change issues: Wateringues, in the Nord - Pas-de-Calais region

Clean Energy Policy Analyses: Analysis of the Status and Impact of Clean Energy Policies at the Local Level

Energy Technology Data Exchange (ETDEWEB)

Busche, S.

2010-12-01

This report takes a broad look at the status of local clean energy policies in the United States to develop a better understanding of local clean energy policy development and the interaction between state and local policies. To date, the majority of clean energy policy research focuses on the state and federal levels. While there has been a substantial amount of research on local level climate change initiatives, this is one of the first analyses of clean energy policies separate from climate change initiatives. This report is one in a suite of reports analyzing clean energy and climate policy development at the local, state, and regional levels.

Clean Energy Policy Analyses. Analysis of the Status and Impact of Clean Energy Policies at the Local Level

Energy Technology Data Exchange (ETDEWEB)

Busche, S. [National Renewable Energy Lab. (NREL), Golden, CO (United States)

2010-12-01

This report takes a broad look at the status of local clean energy policies in the United States to develop a better understanding of local clean energy policy development and the interaction between state and local policies. To date, the majority of clean energy policy research focuses on the state and federal levels. While there has been a substantial amount of research on local level climate change initiatives, this is one of the first analyses of clean energy policies separate from climate change initiatives. This report is one in a suite of reports analyzing clean energy and climate policy development at the local, state, and regional levels.

Implementing Local Climate Change Adaptation and Mitigation Actions: The Role of Various Policy Instruments in a Multi-Level Governance Context

Directory of Open Access Journals (Sweden)

E. Carina H. Keskitalo

2016-01-01

Full Text Available Recently, considerable focus, e.g., in the fifth IPCC (Intergovernmental Panel on Climate Change Assessment Report (2014 has been trained on why adaptation and mitigation have not been developed more than at present, with relatively few local government actions taken compared with, for example, more discursive policy agreement on the importance of the issue of climate change. Going beyond a focus on general limits and barriers, this comment suggests that one important issue is that climate change has not yet been sufficiently integrated into the state regulative structure of legislation and policy-making. A comparison between three cases suggests that local developments that are not supported in particular by binding regulation are unlikely to achieve the same general level of implementation as issues for which such regulative demands (and thereby also requirements for prioritization exist. This constitutes an important consideration for the development of adaptation and mitigation as policy areas, including on the local level.

Preliminary evaluation of techniques for transforming regional climate model output to the potential repository site in support of Yucca Mountain future climate synthesis

International Nuclear Information System (INIS)

Church, H.W.; Zak, B.D.; Behl, Y.K.

1995-06-01

The report describes a preliminary evaluation of models for transforming regional climate model output from a regional to a local scale for the Yucca Mountain area. Evaluation and analysis of both empirical and numerical modeling are discussed which is aimed at providing site-specific, climate-based information for use by interfacing activities. Two semiempirical approaches are recommended for further analysis

Investigation of the effect of sealed surfaces on local climate in urban areas

Science.gov (United States)

Weihs, Philipp; Hasel, Stefan; Mursch-Radlgruber, Erich; Gützer, Christian; Krispel, Stefan; Peyerl, Martin; Trimmel, Heidi

2015-04-01

Local climate is driven by the interaction between energy balance and energy transported by advected air. Short-wave and long-wave radiation are major components in this interaction. Some few studies (e.g. Santamouris et al.) showed that adjusting the grade of reflection of surfaces is an efficient way to influence temperature. The present study investigates the influence of high albedo concrete surfaces on local climate. The first step of the study consisted of experimental investigations: routine measurements of the short and longwave radiation balance, of the ground and of the air temperature and humidity at different heights above 6 different types of sealed surfaces were performed. During this measurement campaign the above mentioned components were measured over a duration of 4 months above two conventional asphalt surfaces, one conventional concrete and three newly developed concrete surfaces with increased reflectances. Measured albedo values amounted to 0.12±0.02 for the asphalt surfaces and to maximum values of 0.56 for high albedo concrete. The maximum difference in surface temperature between the asphalt surfaces and the high albedo concrete surfaces amounted to 15°C. In addition the emission constants of the different sealed surfaces were also determined and were compared to values from literature.. In a second step the urban energy balance model Envi_Met was used to simulate the surface temperature of the six surfaces. The simulated surface temperatures were compared to the measured surface temperatures and statements as to uncertainties of the model simulations were made In a third step, Envi_Met was used to simulate the local climate of an urban district in Vienna. The surface and air temperature and the SW, LW fluxes were calculated for different types of sealed surfaces. By performing calculations of thermal stress indices (UTCI, PMV), statements as to the influence of the type of sealed surface on thermal stress on humans was made.

Data near processing support for climate data analysis

Science.gov (United States)

Kindermann, Stephan; Ehbrecht, Carsten; Hempelmann, Nils

2016-04-01

Climate data repositories grow in size exponentially. Scalable data near processing capabilities are required to meet future data analysis requirements and to replace current "data download and process at home" workflows and approaches. On one hand side, these processing capabilities should be accessible via standardized interfaces (e.g. OGC WPS), on the other side a large variety of processing tools, toolboxes and deployment alternatives have to be supported and maintained at the data/processing center. We present a community approach of a modular and flexible system supporting the development, deployment and maintenace of OGC-WPS based web processing services. This approach is organized in an open source github project (called "bird-house") supporting individual processing services ("birds", e.g. climate index calculations, model data ensemble calculations), which rely on basic common infrastructural components (e.g. installation and deployment recipes, analysis code dependencies management). To support easy deployment at data centers as well as home institutes (e.g. for testing and development) the system supports the management of the often very complex package dependency chain of climate data analysis packages as well as docker based packaging and installation. We present a concrete deployment scenario at the German Climate Computing Center (DKRZ). The DKRZ one hand side hosts a multi-petabyte climate archive which is integrated e.g. into the european ENES and worldwide ESGF data infrastructure, and on the other hand hosts an HPC center supporting (model) data production and data analysis. The deployment scenario also includes openstack based data cloud services to support data import and data distribution for bird-house based WPS web processing services. Current challenges for inter-institutionnal deployments of web processing services supporting the european and international climate modeling community as well as the climate impact community are highlighted

15 local climate-energy plans: regions and districts, local leaders of the struggle against climate change

International Nuclear Information System (INIS)

2009-01-01

This report presents some general information, the sectors addressed by the Climate - Energy Plan, the approaches adopted, the plan elaboration process (organisation, participation and governance, diagnosis and challenges identification, communication actions), the actions and their follow-up, the success factors and the improvement opportunities of the Climate-energy Plans elaborated and adopted by different French regions (Alsace, Aquitaine, Basse-Normandie, Champagne-Ardenne, Franche-Comte, Haute-Normandie, Languedoc-Roussillon, Limousin, Nord-Pas-de-Calais, Poitou-Charentes) and districts (Alpes Maritimes, Bas-Rhin, Eure, Seine-Maritime)

Climate Change and Coastal Zones. An Overview of the State-of-the-Art on Regional and Local Vulnerability Assessment

International Nuclear Information System (INIS)

Sterr, H.; Klein, R.J.T.; Reese, S.

2000-06-01

This paper provides an overview of the latest developments in methodologies for assessing the vulnerability of coastal zones to climate change at regional and local scales. The focus of vulnerability assessment in coastal zones used to be on erosion and land loss due to sea-level rise. Methodologies now increasingly consider the wide range of climate and impact variables that play a part in determining coastal vulnerability, as well as non-climatic developments. The paper presents a conceptual framework for vulnerability assessment that identifies a number of system components that can be considered determinants of vulnerability. It then goes on to outline a number of steps that are required for the actual assessment of coastal vulnerability, such as scenario development, data collection and impact assessment. The approach is illustrated using a regional and local case study in Germany

The effects of phenotypic plasticity and local adaptation on forecasts of species range shifts under climate change.

Science.gov (United States)

Valladares, Fernando; Matesanz, Silvia; Guilhaumon, François; Araújo, Miguel B; Balaguer, Luis; Benito-Garzón, Marta; Cornwell, Will; Gianoli, Ernesto; van Kleunen, Mark; Naya, Daniel E; Nicotra, Adrienne B; Poorter, Hendrik; Zavala, Miguel A

2014-11-01

Species are the unit of analysis in many global change and conservation biology studies; however, species are not uniform entities but are composed of different, sometimes locally adapted, populations differing in plasticity. We examined how intraspecific variation in thermal niches and phenotypic plasticity will affect species distributions in a warming climate. We first developed a conceptual model linking plasticity and niche breadth, providing five alternative intraspecific scenarios that are consistent with existing literature. Secondly, we used ecological niche-modeling techniques to quantify the impact of each intraspecific scenario on the distribution of a virtual species across a geographically realistic setting. Finally, we performed an analogous modeling exercise using real data on the climatic niches of different tree provenances. We show that when population differentiation is accounted for and dispersal is restricted, forecasts of species range shifts under climate change are even more pessimistic than those using the conventional assumption of homogeneously high plasticity across a species' range. Suitable population-level data are not available for most species so identifying general patterns of population differentiation could fill this gap. However, the literature review revealed contrasting patterns among species, urging greater levels of integration among empirical, modeling and theoretical research on intraspecific phenotypic variation. © 2014 The Authors. Ecology Letters published by John Wiley & Sons Ltd and CNRS.

Improving the interpretability of climate landscape metrics: An ecological risk analysis of Japan's Marine Protected Areas.

Science.gov (United States)

García Molinos, Jorge; Takao, Shintaro; Kumagai, Naoki H; Poloczanska, Elvira S; Burrows, Michael T; Fujii, Masahiko; Yamano, Hiroya

2017-10-01

Conservation efforts strive to protect significant swaths of terrestrial, freshwater and marine ecosystems from a range of threats. As climate change becomes an increasing concern, these efforts must take into account how resilient-protected spaces will be in the face of future drivers of change such as warming temperatures. Climate landscape metrics, which signal the spatial magnitude and direction of climate change, support a convenient initial assessment of potential threats to and opportunities within ecosystems to inform conservation and policy efforts where biological data are not available. However, inference of risk from purely physical climatic changes is difficult unless set in a meaningful ecological context. Here, we aim to establish this context using historical climatic variability, as a proxy for local adaptation by resident biota, to identify areas where current local climate conditions will remain extant and future regional climate analogues will emerge. This information is then related to the processes governing species' climate-driven range edge dynamics, differentiating changes in local climate conditions as promoters of species range contractions from those in neighbouring locations facilitating range expansions. We applied this approach to assess the future climatic stability and connectivity of Japanese waters and its network of marine protected areas (MPAs). We find 88% of Japanese waters transitioning to climates outside their historical variability bounds by 2035, resulting in large reductions in the amount of available climatic space potentially promoting widespread range contractions and expansions. Areas of high connectivity, where shifting climates converge, are present along sections of the coast facilitated by the strong latitudinal gradient of the Japanese archipelago and its ocean current system. While these areas overlap significantly with areas currently under significant anthropogenic pressures, they also include much of the MPA

Modelling coral reef futures to inform management: can reducing local-scale stressors conserve reefs under climate change?

Science.gov (United States)

Gurney, Georgina G; Melbourne-Thomas, Jessica; Geronimo, Rollan C; Aliño, Perry M; Johnson, Craig R

2013-01-01

Climate change has emerged as a principal threat to coral reefs, and is expected to exacerbate coral reef degradation caused by more localised stressors. Management of local stressors is widely advocated to bolster coral reef resilience, but the extent to which management of local stressors might affect future trajectories of reef state remains unclear. This is in part because of limited understanding of the cumulative impact of multiple stressors. Models are ideal tools to aid understanding of future reef state under alternative management and climatic scenarios, but to date few have been sufficiently developed to be useful as decision support tools for local management of coral reefs subject to multiple stressors. We used a simulation model of coral reefs to investigate the extent to which the management of local stressors (namely poor water quality and fishing) might influence future reef state under varying climatic scenarios relating to coral bleaching. We parameterised the model for Bolinao, the Philippines, and explored how simulation modelling can be used to provide decision support for local management. We found that management of water quality, and to a lesser extent fishing, can have a significant impact on future reef state, including coral recovery following bleaching-induced mortality. The stressors we examined interacted antagonistically to affect reef state, highlighting the importance of considering the combined impact of multiple stressors rather than considering them individually. Further, by providing explicit guidance for management of Bolinao's reef system, such as which course of management action will most likely to be effective over what time scales and at which sites, we demonstrated the utility of simulation models for supporting management. Aside from providing explicit guidance for management of Bolinao's reef system, our study offers insights which could inform reef management more broadly, as well as general understanding of reef

Modelling Coral Reef Futures to Inform Management: Can Reducing Local-Scale Stressors Conserve Reefs under Climate Change?

Science.gov (United States)

Gurney, Georgina G.; Melbourne-Thomas, Jessica; Geronimo, Rollan C.; Aliño, Perry M.; Johnson, Craig R.

2013-01-01

Climate change has emerged as a principal threat to coral reefs, and is expected to exacerbate coral reef degradation caused by more localised stressors. Management of local stressors is widely advocated to bolster coral reef resilience, but the extent to which management of local stressors might affect future trajectories of reef state remains unclear. This is in part because of limited understanding of the cumulative impact of multiple stressors. Models are ideal tools to aid understanding of future reef state under alternative management and climatic scenarios, but to date few have been sufficiently developed to be useful as decision support tools for local management of coral reefs subject to multiple stressors. We used a simulation model of coral reefs to investigate the extent to which the management of local stressors (namely poor water quality and fishing) might influence future reef state under varying climatic scenarios relating to coral bleaching. We parameterised the model for Bolinao, the Philippines, and explored how simulation modelling can be used to provide decision support for local management. We found that management of water quality, and to a lesser extent fishing, can have a significant impact on future reef state, including coral recovery following bleaching-induced mortality. The stressors we examined interacted antagonistically to affect reef state, highlighting the importance of considering the combined impact of multiple stressors rather than considering them individually. Further, by providing explicit guidance for management of Bolinao's reef system, such as which course of management action will most likely to be effective over what time scales and at which sites, we demonstrated the utility of simulation models for supporting management. Aside from providing explicit guidance for management of Bolinao's reef system, our study offers insights which could inform reef management more broadly, as well as general understanding of reef

Modelling coral reef futures to inform management: can reducing local-scale stressors conserve reefs under climate change?

Directory of Open Access Journals (Sweden)

Georgina G Gurney

Full Text Available Climate change has emerged as a principal threat to coral reefs, and is expected to exacerbate coral reef degradation caused by more localised stressors. Management of local stressors is widely advocated to bolster coral reef resilience, but the extent to which management of local stressors might affect future trajectories of reef state remains unclear. This is in part because of limited understanding of the cumulative impact of multiple stressors. Models are ideal tools to aid understanding of future reef state under alternative management and climatic scenarios, but to date few have been sufficiently developed to be useful as decision support tools for local management of coral reefs subject to multiple stressors. We used a simulation model of coral reefs to investigate the extent to which the management of local stressors (namely poor water quality and fishing might influence future reef state under varying climatic scenarios relating to coral bleaching. We parameterised the model for Bolinao, the Philippines, and explored how simulation modelling can be used to provide decision support for local management. We found that management of water quality, and to a lesser extent fishing, can have a significant impact on future reef state, including coral recovery following bleaching-induced mortality. The stressors we examined interacted antagonistically to affect reef state, highlighting the importance of considering the combined impact of multiple stressors rather than considering them individually. Further, by providing explicit guidance for management of Bolinao's reef system, such as which course of management action will most likely to be effective over what time scales and at which sites, we demonstrated the utility of simulation models for supporting management. Aside from providing explicit guidance for management of Bolinao's reef system, our study offers insights which could inform reef management more broadly, as well as general

An Analysis of the Climate Data Initiative's Data Collection

Science.gov (United States)

Ramachandran, R.; Bugbee, K.

2015-12-01

The Climate Data Initiative (CDI) is a broad multi-agency effort of the U.S. government that seeks to leverage the extensive existing federal climate-relevant data to stimulate innovation and private-sector entrepreneurship to support national climate-change preparedness. The CDI project is a systematic effort to manually curate and share openly available climate data from various federal agencies. To date, the CDI has curated seven themes, or topics, relevant to climate change resiliency. These themes include Coastal Flooding, Food Resilience, Water, Ecosystem Vulnerability, Human Health, Energy Infrastructure, and Transportation. Each theme was curated by subject matter experts who selected datasets relevant to the topic at hand. An analysis of the entire Climate Data Initiative data collection and the data curated for each theme offers insights into which datasets are considered most relevant in addressing climate resiliency. Other aspects of the data collection will be examined including which datasets were the most visited or popular and which datasets were the most sought after for curation by the theme teams. Results from the analysis of the CDI collection will be presented in this talk.

Social representations of climate change in Swedish lay focus groups: local or distant, gradual or catastrophic?

Science.gov (United States)

Wibeck, Victoria

2014-02-01

This paper explores social representations of climate change, investigating how climate change is discussed by Swedish laypeople interacting in focus group interviews. The analysis focuses on prototypical examples and metaphors, which were key devices for objectifying climate change representations. The paper analyzes how the interaction of focus group participants with other speakers, ideas, arguments, and broader social representations shaped their representations of climate change. Climate change was understood as a global but distant issue with severe consequences. There was a dynamic tension between representations of climate change as a gradual vs. unpredictable process. Implications for climate change communication are discussed.

Ageing, exposure to pollution, and interactions between climate change and local seasons as oxidant conditions predicting incident hematologic malignancy at KINSHASA University clinics, Democratic Republic of CONGO (DRC).

Science.gov (United States)

Nkanga, Mireille Solange Nganga; Longo-Mbenza, Benjamin; Adeniyi, Oladele Vincent; Ngwidiwo, Jacques Bikaula; Katawandja, Antoine Lufimbo; Kazadi, Paul Roger Beia; Nzonzila, Alain Nganga

2017-08-23

The global burden of hematologic malignancy (HM) is rapidly rising with aging, exposure to polluted environments, and global and local climate variability all being well-established conditions of oxidative stress. However, there is currently no information on the extent and predictors of HM at Kinshasa University Clinics (KUC), DR Congo (DRC). This study evaluated the impact of bio-clinical factors, exposure to polluted environments, and interactions between global climate changes (EL Nino and La Nina) and local climate (dry and rainy seasons) on the incidence of HM. This hospital-based prospective cohort study was conducted at Kinshasa University Clinics in DR Congo. A total of 105 black African adult patients with anaemia between 2009 and 2016 were included. HM was confirmed by morphological typing according to the French-American-British (FAB) Classification System. Gender, age, exposure to traffic pollution and garages/stations, global climate variability (El Nino and La Nina), and local climate (dry and rainy seasons) were potential independent variables to predict incident HM using Cox regression analysis and Kaplan Meier curves. Out of the total 105 patients, 63 experienced incident HM, with an incidence rate of 60%. After adjusting for gender, HIV/AIDS, and other bio-clinical factors, the most significant independent predictors of HM were age ≥ 55 years (HR = 2.4; 95% CI 1.4-4.3; P = 0.003), exposure to pollution and garages or stations (HR = 4.9; 95% CI 2-12.1; P pollution, combined local dry season + La Nina and combined local dry season + El Nino were the most significant predictors of incident hematologic malignancy. These findings highlight the importance of aging, pollution, the dry season, El Nino and La Nina as related to global warming as determinants of hematologic malignancies among African patients from Kinshasa, DR Congo. Cancer registries in DRC and other African countries will provide more robust database for future researches on

Chatham Islands Climate Change

International Nuclear Information System (INIS)

Mullan, B.; Salinger, J.; Thompson, C.; Ramsay, D.; Wild, M.

2005-06-01

This brief report provides guidance on climate change specific to the Chatham Islands, to complement the information recently produced for local government by the Ministry for the Environment in 'Climate Change Effects and Impacts Assessment: A guidance manual for Local Government in New Zealand' and 'Coastal Hazards and Climate Change: A guidance manual for Local Government in New Zealand'. These previous reports contain a lot of generic information on climate change, and how to assess associated risks, that is relevant to the Chatham Islands Council.

A climate analysis using CORDEX simulations in a cooperation framework: the case of Paraguay

Science.gov (United States)

Mercogliano, Paola; Bucchignani, Edoardo; Ciervo, Fabio; Montesarchio, Myriam; Zollo, Alessandra Lucia; Villani, Veronica; Barbato, Giuliana; Vendemia, Rosalba; Polato, Raul; Baez, Julian; Pasten, Max

2017-04-01

the acquired climate simulations has been determined by comparison with different observational datasets over the baseline period. Three future periods have been selected for the analysis: 2011-2040, 2041-2070 and 2071-2100. The analysis is carried out in order to address the mean changes in seasonal mean temperature and total precipitation, and of some indicators suitable to quantify the impact of climate extreme events. The analysis is performed in the framework of the Chake Ou project "Strengthening of institutional and community preparedness and coordination capacities for disaster risk reduction in Paraguay" funded by the European Commission's Humanitarian Aid and Civil Protection Department (ECHO), in the context of the Disaster Preparedness Action Plan (DIPECHO) (code ECHO/-SM/BUD/2015/91028). The partners of the project are COOPI (a humanitarian, no-confessional and independent organization that works to support civil, economic and social development of populations struck by emergencies (disasters and conflicts), PLAN International (a child-centered community development organization) and CMCC Foundation (Euro-Mediterranean Center on Climate Change). The consortium works in close collaboration with the local institutions such as the Secretaria de Emergencia Nacional (SEN) and the Dirección de Meteorología e Hidrología (DMH - DINAC).

Adaptation to Climate Change in Risk and Vulnerability Analysis on a Municipal Level, a basis for further work; Anpassning till klimatfoeraendringar i risk- och saarbarhetsanalyser paa kommunal nivaa, underlag foer fortsatt arbete

Energy Technology Data Exchange (ETDEWEB)

Mossberg Sonnek, Karin; Lindberg, Anna; Lindgren, Johan

2007-12-15

The aim of Risk and Vulnerability Analysis (RVA) at local authority level in Sweden is to increase the capacity of local authorities to handle crises and to reduce vulnerability in the community. RVA processes could be an appropriate starting-point for discussions on how the community is influenced by climate change and how its effects could be reduced using various adjustment measures. In the report we present four methods: ROSA, MVA, IBERO and the Car Dun AB method. These have all been developed to support Swedish local authority RVA processes. We also present five international frameworks that have been developed by the organisations UNDP, USAID, UKCIP, C-CIARN and CSIRO to help decision-makers and stakeholders to adapt to climate change. Together, these descriptions form a foundation for continuing the work being done within the project Climatools, in which tools are being produced to be used by local authorities in adapting to climate change. In the report, we also discuss the concepts 'risk', 'vulnerability' and 'adaptation' and how analysis of adaptation to climate change has changed in recent years.

Climate change research in Canada

International Nuclear Information System (INIS)

Dawson, K.

1994-01-01

The current consensus on climatic change in Canada is briefly summarized, noting the results of modelling of the effects of a doubling of atmospheric CO 2 , the nonuniformity of climate change across the country, the uncertainties in local responses to change, and the general agreement that 2-4 degrees of warming will occur for each doubling of CO 2 . Canadian government response includes programs aimed at reducing the uncertainties in the scientific understanding of climate change and in the socio-economic response to such change. Canadian climate change programs include participation in large-scale experiments on such topics as heat transport in the ocean, and sources and sinks of greenhouse gases; development of next-generation climate models; studying the social and economic effects of climate change in the Great Lakes Basin and Mackenzie River Basin; investigation of paleoclimates; and analysis of climate data for long-term trends

Scientific Data and Its Limits: Rethinking the Use of Evidence in Local Climate Change Policy

Science.gov (United States)

Pearce, Warren

2014-01-01

Climate policy is typically seen as informed by scientific evidence that anthropogenic carbon emissions require reducing in order to avoid dangerous consequences. However, agreement on these matters has not translated into effective policy. Using interviews with local authority officials in the UK's East Midlands region, this paper argues that the…

Effect of power engineering on the climate

International Nuclear Information System (INIS)

Legasov, V.A.; Kuz'min, I.I.; Chernoplekov, A.N.

1984-01-01

The influence on global, regional and local climate caused by power plants waste heat and carbon dioxide effluents by organic and nuclear fuel energetics development is investigated in the frame of summarized world energy product in growth long-term forecasts until the year 2100. Conclusion on the significance of energetics as a climate modification factor and necessity to form energy production development strategy is made with due regard for possible climatic consequences. Importance of investigation of possible climatic effects of atmospheric electroconductivity changes is stresses as caused by nuclear fuel cycle plants emission of 85 Kr. Climatic factors quantitative analysis methology is proposed in the problem of safe energy production development

Widespread climate change in the Himalayas and associated changes in local ecosystems.

Science.gov (United States)

Shrestha, Uttam Babu; Gautam, Shiva; Bawa, Kamaljit S

2012-01-01

Climate change in the Himalayas, a biodiversity hotspot, home of many sacred landscapes, and the source of eight largest rivers of Asia, is likely to impact the well-being of ~20% of humanity. However, despite the extraordinary environmental, cultural, and socio-economic importance of the Himalayas, and despite their rapidly increasing ecological degradation, not much is known about actual changes in the two most critical climatic variables: temperature and rainfall. Nor do we know how changes in these parameters might impact the ecosystems including vegetation phenology. By analyzing temperature and rainfall data, and NDVI (Normalized Difference Vegetation Index) values from remotely sensed imagery, we report significant changes in temperature, rainfall, and vegetation phenology across the Himalayas between 1982 and 2006. The average annual mean temperature during the 25 year period has increased by 1.5 °C with an average increase of 0.06 °C yr(-1). The average annual precipitation has increased by 163 mm or 6.52 mmyr(-1). Since changes in temperature and precipitation are immediately manifested as changes in phenology of local ecosystems, we examined phenological changes in all major ecoregions. The average start of the growing season (SOS) seems to have advanced by 4.7 days or 0.19 days yr(-1) and the length of growing season (LOS) appears to have advanced by 4.7 days or 0.19 days yr(-1), but there has been no change in the end of the growing season (EOS). There is considerable spatial and seasonal variation in changes in climate and phenological parameters. This is the first time that large scale climatic and phenological changes at the landscape level have been documented for the Himalayas. The rate of warming in the Himalayas is greater than the global average, confirming that the Himalayas are among the regions most vulnerable to climate change.

Local-scale changes in mean and heavy precipitation in Western Europe, climate change or internal variability?

Science.gov (United States)

Aalbers, Emma E.; Lenderink, Geert; van Meijgaard, Erik; van den Hurk, Bart J. J. M.

2017-09-01

High-resolution climate information provided by e.g. regional climate models (RCMs) is valuable for exploring the changing weather under global warming, and assessing the local impact of climate change. While there is generally more confidence in the representativeness of simulated processes at higher resolutions, internal variability of the climate system—`noise', intrinsic to the chaotic nature of atmospheric and oceanic processes—is larger at smaller spatial scales as well, limiting the predictability of the climate signal. To quantify the internal variability and robustly estimate the climate signal, large initial-condition ensembles of climate simulations conducted with a single model provide essential information. We analyze a regional downscaling of a 16-member initial-condition ensemble over western Europe and the Alps at 0.11° resolution, similar to the highest resolution EURO-CORDEX simulations. We examine the strength of the forced climate response (signal) in mean and extreme daily precipitation with respect to noise due to internal variability, and find robust small-scale geographical features in the forced response, indicating regional differences in changes in the probability of events. However, individual ensemble members provide only limited information on the forced climate response, even for high levels of global warming. Although the results are based on a single RCM-GCM chain, we believe that they have general value in providing insight in the fraction of the uncertainty in high-resolution climate information that is irreducible, and can assist in the correct interpretation of fine-scale information in multi-model ensembles in terms of a forced response and noise due to internal variability.

Local-scale changes in mean and heavy precipitation in Western Europe, climate change or internal variability?

Science.gov (United States)

Aalbers, Emma E.; Lenderink, Geert; van Meijgaard, Erik; van den Hurk, Bart J. J. M.

2018-06-01

High-resolution climate information provided by e.g. regional climate models (RCMs) is valuable for exploring the changing weather under global warming, and assessing the local impact of climate change. While there is generally more confidence in the representativeness of simulated processes at higher resolutions, internal variability of the climate system—`noise', intrinsic to the chaotic nature of atmospheric and oceanic processes—is larger at smaller spatial scales as well, limiting the predictability of the climate signal. To quantify the internal variability and robustly estimate the climate signal, large initial-condition ensembles of climate simulations conducted with a single model provide essential information. We analyze a regional downscaling of a 16-member initial-condition ensemble over western Europe and the Alps at 0.11° resolution, similar to the highest resolution EURO-CORDEX simulations. We examine the strength of the forced climate response (signal) in mean and extreme daily precipitation with respect to noise due to internal variability, and find robust small-scale geographical features in the forced response, indicating regional differences in changes in the probability of events. However, individual ensemble members provide only limited information on the forced climate response, even for high levels of global warming. Although the results are based on a single RCM-GCM chain, we believe that they have general value in providing insight in the fraction of the uncertainty in high-resolution climate information that is irreducible, and can assist in the correct interpretation of fine-scale information in multi-model ensembles in terms of a forced response and noise due to internal variability.

Integrating economic analysis and the science of climate instability

International Nuclear Information System (INIS)

Hall, Darwin C.; Behl, Richard J.

2006-01-01

Scientific understanding of climate change and climate instability has undergone a revolution in the past decade with the discovery of numerous past climate transitions so rapid, and so unlike the expectation of smooth climate changes, that they would have previously been unbelievable to the scientific community. Models commonly used by economists to assess the wisdom of adapting to human-induced climate change, rather than averting it, lack the ability to incorporate this new scientific knowledge. Here, we identify and explain the nature of recent scientific advances, and describe the key ways in which failure to reflect new knowledge in economic analysis skews the results of that analysis. This includes the understanding that economic optimization models reliant on convexity are inherently unable to determine an 'optimal' policy solution. It is incumbent on economists to understand and to incorporate the new science in their models, and on climatologists and other scientists to understand the basis of economic models so that they can assist in this essential effort. (author)

Social and health dimensions of climate change in the Amazon.

Science.gov (United States)

Brondízio, Eduardo S; de Lima, Ana C B; Schramski, Sam; Adams, Cristina

2016-07-01

The Amazon region has been part of climate change debates for decades, yet attention to its social and health dimensions has been limited. This paper assesses literature on the social and health dimensions of climate change in the Amazon. A conceptual framework underscores multiple stresses and exposures created by interactions between climate change and local social-environmental conditions. Using the Thomson-Reuter Web of Science, this study bibliometrically assessed the overall literature on climate change in the Amazon, including Physical Sciences, Social Sciences, Anthropology, Environmental Science/Ecology and Public, Environmental/Occupational Health. From this assessment, a relevant sub-sample was selected and complemented with literature from the Brazilian database SciELO. This sample discusses three dimensions of climate change impacts in the region: livelihood changes, vector-borne diseases and microbial proliferation, and respiratory diseases. This analysis elucidates imbalance and disconnect between ecological, physical and social and health dimensions of climate change and between continental and regional climate analysis, and sub-regional and local levels. Work on the social and health implications of climate change in the Amazon falls significantly behind other research areas, limiting reliable information for analytical models and for Amazonian policy-makers and society at large. Collaborative research is called for.

An analysis of climatic impacts and adaptation strategies in Tanzania

CSIR Research Space (South Africa)

Ojoyi, MM

2015-03-01

Full Text Available International Journal of Climate Change Strategies and Management An analysis of climatic impacts and adaptation strategies in Tanzania Mercy M. Ojoyi School of Environmental Sciences, University of KwaZulu-Natal, Pietermaritzburg, South Africa... of feedback results from analysis of variance tests conducted. Major indicators of climate variability and change include: increased dry spells (39.7 per cent), drying of rivers (34.7 per cent), a reduction in water flows (14.6 per cent) and poor economy...

Managing Climate Change Risks

Energy Technology Data Exchange (ETDEWEB)

Jones, R. [CSIRO Atmospheric Research, PMB1 Aspendale, Victoria 3195 (Australia)

2003-07-01

Issues of uncertainty, scale and delay between action and response mean that 'dangerous' climate change is best managed within a risk assessment framework that evolves as new information is gathered. Risk can be broadly defined as the combination of likelihood and consequence; the latter measured as vulnerability to greenhouse-induced climate change. The most robust way to assess climate change damages in a probabilistic framework is as the likelihood of critical threshold exceedance. Because vulnerability is dominated by local factors, global vulnerability is the aggregation of many local impacts being forced beyond their coping ranges. Several case studies, generic sea level rise and temperature, coral bleaching on the Great Barrier Reef and water supply in an Australian catchment, are used to show how local risk assessments can be assessed then expressed as a function of global warming. Impacts treated thus can be aggregated to assess global risks consistent with Article 2 of the UNFCCC. A 'proof of concept' example is then used to show how the stabilisation of greenhouse gases can constrain the likelihood of exceeding critical thresholds at both the both local and global scale. This analysis suggests that even if the costs of reducing greenhouse gas emissions and the benefits of avoiding climate damages can be estimated, the likelihood of being able to meet a cost-benefit target is limited by both physical and socio-economic uncertainties. In terms of managing climate change risks, adaptation will be most effective at reducing vulnerability likely to occur at low levels of warming. Successive efforts to mitigate greenhouse gases will reduce the likelihood of reaching levels of global warming from the top down, with the highest potential temperatures being avoided first, irrespective of contributing scientific uncertainties. This implies that the first cuts in emissions will always produce the largest economic benefits in terms of avoided

Local authorities and greenhouse effect. Analysis and proposals for a mobilization of representatives about the greenhouse effect; Autorites locales et effet de serre. Analyse et propositions pour une mobilisation des elus sur l'effet de serre

Energy Technology Data Exchange (ETDEWEB)

Ged, A. [Agora Analyses et Systemes, 13 - Ventabren (France)

2003-01-01

The local authorities are essential intermediates for the implementation of environmental policies (Kyoto protocol and European policy) and in particular the fight against the greenhouse effect. This report aims at finding arguments to sensibilize and mobilize the representatives of local authorities about the climatic change and the greenhouse effect problem. The main problem concerns the introduction of the greenhouse effect concern in the decision process of local authorities. Several steps are necessary to carry out this reflection. The analysis must take into consideration the new dimensions of the urban policies and the preoccupations of the representatives. A diagnosis and concrete proposals are deduced from this analysis. (J.S.)

Tertiary climatic fluctuations and methods of analysis of tertiary floras

Science.gov (United States)

Wolfe, J.A.

1971-01-01

On theoretical grounds, an analysis of the physiognomy of a Tertiary leaf assemblage is more direct and reliable than a circuitous floristic analysis in assigning thermal regimes to fossil assemblages. Using primarily foliar physiognomy and secondarily floristic composition, it can be shown that: (1) some middle latitude Tertiary assemblages probably lived under meteoroligically tropical climates; (2) a major and rapid climatic deterioration occurred in the Oligocene; and (3) a major climatic fluctuation probably occurred in the Late Eocene. These analyses thus substantiate the conclusions of several other paleobotanists regarding climatic fluctuations. Recent criticisms of these analyses are shown to be invalid and to be based largely on misinterpretations. ?? 1971.

Choosing and using climate-change scenarios for ecological-impact assessments and conservation decisions.

Science.gov (United States)

Snover, Amy K; Mantua, Nathan J; Littell, Jeremy S; Alexander, Michael A; McClure, Michelle M; Nye, Janet

2013-12-01

Increased concern over climate change is demonstrated by the many efforts to assess climate effects and develop adaptation strategies. Scientists, resource managers, and decision makers are increasingly expected to use climate information, but they struggle with its uncertainty. With the current proliferation of climate simulations and downscaling methods, scientifically credible strategies for selecting a subset for analysis and decision making are needed. Drawing on a rich literature in climate science and impact assessment and on experience working with natural resource scientists and decision makers, we devised guidelines for choosing climate-change scenarios for ecological impact assessment that recognize irreducible uncertainty in climate projections and address common misconceptions about this uncertainty. This approach involves identifying primary local climate drivers by climate sensitivity of the biological system of interest; determining appropriate sources of information for future changes in those drivers; considering how well processes controlling local climate are spatially resolved; and selecting scenarios based on considering observed emission trends, relative importance of natural climate variability, and risk tolerance and time horizon of the associated decision. The most appropriate scenarios for a particular analysis will not necessarily be the most appropriate for another due to differences in local climate drivers, biophysical linkages to climate, decision characteristics, and how well a model simulates the climate parameters and processes of interest. Given these complexities, we recommend interaction among climate scientists, natural and physical scientists, and decision makers throughout the process of choosing and using climate-change scenarios for ecological impact assessment. Selección y Uso de Escenarios de Cambio Climático para Estudios de Impacto Ecológico y Decisiones de Conservación. © 2013 Society for Conservation Biology.

Applicability of WRF-Lake System in Studying Reservoir-Induced Impacts on Local Climate: Case Study of Two Reservoirs with Contrasting Characteristics

Science.gov (United States)

Wang, F.; Zhu, D.; Ni, G.; Sun, T.

2017-12-01

Large reservoirs play a key role in regional hydrological cycles as well as in modulating the local climate. The emerging large reservoirs in concomitant with rapid hydropower exploitation in southwestern China warrant better understanding of their impacts on local and regional climates. One of the crucial pathways through which reservoirs impact the climate is lake-atmospheric interaction. Although such interactions have been widely studied with numeric weather prediction (NWP) models, an outstanding limitation across various NWPs resides on the poor thermodynamic representation of lakes. The recent version of Weather Research and Forecasting (WRF) system has been equipped with a one-dimensional lake model to better represent the thermodynamics of large water body and has been shown to enhance the its predication skill in the lake-atmospheric interaction. In this study, we further explore the applicability of the WRF-Lake system in two reservoirs with contrasting characteristics: Miyun Reservoir with an average depth of 30 meters in North China Plain, and Nuozhadu Reservoir with an average depth of 200 meters in the Tibetan Plateau Region. Driven by the high spatiotemporal resolution meteorological forcing data, the WRF-Lake system is used to simulate the water temperature and surface energy budgets of the two reservoirs after the evaluation against temperature observations. The simulated results show the WRF-Lake model can well predict the vertical profile of water temperature in Miyun Reservoir, but underestimates deep water temperature and overestimates surface temperature in the deeper Nuozhadu Reservoir. In addition, sensitivity analysis indicates the poor performance of the WRF-Lake system in Nuozhadu Reservoir could be attributed to the weak vertical mixing in the model, which can be improved by tuning the eddy diffusion coefficient ke . Keywords: reservoir-induced climatic impact; lake-atmospheric interaction; WRF-Lake system; hydropower exploitation

Barriers in local practice-oriented teaching networks to organize climate and science teaching

DEFF Research Database (Denmark)

Grunwald, Annette

The poster takes its point of departure from a need to meet primary and lower secondary pupils interest in climate, science and technology by giving them possibilities to learn “in the real world” in a more problem based way. This possibility is given through out-of-school learning organized in co......-operation between educational actors, here primary/lower secondary schools, Aalborg University, and other actors, here Aalborg municipality and companies. The poster will present the first results of an ongoing developing and research project “Learning in reality: Practice-oriented teaching networks strengthen...... primary and lower secondary school pupils’ interest in climate and science”, funded by the Danish Energy Foundation (August 2014 – December 2016). The aim of the project is e.g. to: - Develop, establish and explore new forms of local cooperation between schools, companies, Aalborg University...

Climate risks to agriculture in Amazon arc-of-deforestation create incentives to conserve local forests

Science.gov (United States)

Costa, M. H.; Fleck, L. C.; Cohn, A.; Abrahão, G. M.; Brando, P. M.; Coe, M. T.; Fu, R.; Lawrence, D.; Pires, G. F.; Pousa, R.; Soares, B. Filh

2017-12-01

Intensification of agriculture is a necessary condition for sustainably meeting global food demands without increasing deforestation. In southern Amazonia, a region that produces 7% of the world's soybeans, double cropping has become the preferred system for the intensification of agriculture, which is essentially rainfed. Rainy season is shortening in the region, due to climate change, and is predicted to become shorter in the future. The climate risks are worsened by the region's land use change. This increases the climate risk and even threat the intensive double-cropping agriculture that is currently practiced in that region, with potential perverse consequences to everyone. Repeated or widespread climate-driven crop failure could prompt a return to the single cropping system or even cropland abandonment. A shift to single cropping could decrease the agriculture output in this critical region, push up global food prices and heighten incentives to convert regional ecosystems to agricultural land. Further agricultural expansion into ecosystems would increase climate change. The more forest lost, the higher the climate risk will be, due to climate feedbacks from deforestation itself, triggering a spiraling decline of the rainforests and rainfall over southern Amazonia and other critical agricultural regions known to depend on the forests of Amazonia for rainfall. We show that there are economic and social reasons to preserve the forests, and it is in the best interest of the agribusiness, local governments and people, to conserve the remaining forests. The adaptation and mitigation needs, and policies to reconcile production and protection while mitigating supply chains risks are also discussed.

Gender and climate change in the Indian Himalayas: global threats, local vulnerabilities, and livelihood diversification at the Nanda Devi Biosphere Reserve

Science.gov (United States)

Ogra, M. V.; Badola, R.

2015-08-01

Global climate change has numerous implications for members of mountain communities who feel the impacts in both physical and social dimensions. In the western Himalayas of India, a majority of residents maintain a livelihood strategy that includes a combination of subsistence or small-scale agriculture, livestock rearing, seasonal or long-term migration, and localized natural resource extraction. While warming temperatures, irregular patterns of precipitation and snowmelt, and changing biological systems present challenges to the viability of these traditional livelihood portfolios in general, we find that climate change is also undermining local communities' livelihood assets in gender-specific ways. In this paper, we present a case study from the Nanda Devi Biosphere Reserve (Uttarakhand, India) that both outlines the implications of climate change for women farmers in the area and highlights the potential for ecotourism (as a form of livelihood diversification) to strengthen both key livelihood assets of women and local communities' adaptive capacity more broadly. The paper intentionally employs a categorical focus on women but also addresses issues of inter-group and gender diversity. With this special issue in mind, suggestions for related research are proposed for consideration by climate scientists and social systems and/or policy modelers seeking to support gender justice through socially transformative perspectives and frameworks.

Local climate policy in Alkmaar, Netherlands. Policy analysis from A to Z; Lokaal Klimaatbeleid in Alkmaar. Beleidsanalyse van A tot Z

Energy Technology Data Exchange (ETDEWEB)

Burger, H.; Heinink, H. [ECN Beleidsstudies, Petten (Netherlands)

2002-04-01

This report describes the results of the final phase of a research project about local climate policy. An ideal model of a climate management system was tested by practise for the municipality of Alkmaar. In this case study ECN analysed numerous policy documents as well as the process of building a new soccer stadium. We looked if the municipal organisation passed through all the steps of this climate management system and if it used any mechanisms through which the external integration of climate policy in policies other than environmental policy fields could be enhanced. The report shows that though the model was not running effectively in Alkmaar, the municipal organisation still managed to partly integrate climate policy in non-environment policy areas. For the major part this can be contributed to enthusiastic and hard-working sustainability coordinators. Had the systematic approach been in place, the municipality would clearly be more accurate in its network policy steering which proved necessary to realise the new soccer stadium. [Dutch] Dit rapport doet verslag van een onderzoek naar lokaal klimaatbeleid in Alkmaar. Het onderzoek heeft plaatsgevonden in de eerste maanden van 2001. Het is onderdeel van het onderzoeksproject 'Lokale overheden en klimaatbeleid' dat is uitgevoerd in opdracht van het Nationaal Onderzoek Programma Mondiale Luchtverontreiniging en Klimaatverandering (NOP-MLK). Doelstelling van het onderzoek is te analyseren in hoeverre er in de dagelijkse Alkmaarse beleidspraktijk sprake is van integraal klimaatbeleid. Daartoe is er een analyse gemaakt van beleidsdocumenten en het proces rond de bouw van het nieuwe AZ-voetbalstadion. De conclusies hebben betrekking op de stand van zaken op het moment van onderzoek. In de periode tussen onderzoek en publicatie is veel gebeurd. Zo is Alkmaar sterk betrokken bij afspraken voor CO2- reductie met de provincie, bij het CO2- servicepunt en bij het bovengenoemde klimaatconvenant. De conclusies

Climate for Change?

DEFF Research Database (Denmark)

Wejs, Anja

Cities rather than national governments take the lead in acting on climate change. Several cities have voluntarily created climate change plans to prevent and prepare for the effects of climate change. In the literature climate change has been examined as a multilevel governance area taking place...... around international networks. Despite the many initiatives taken by cities, existing research shows that the implementation of climate change actions is lacking. The reasons for this scarcity in practice are limited to general explanations in the literature, and studies focused on explaining...... the constraints on climate change planning at the local level are absent. To understand these constraints, this PhD thesis investigates the institutional dynamics that influence the process of the integration of climate change into planning practices at the local level in Denmark. The examination of integration...

Hands-on Approach to Prepare Specialists in Climate Changes Modeling and Analysis Using an Information-Computational Web-GIS Portal "Climate"

Science.gov (United States)

Shulgina, T. M.; Gordova, Y. E.; Martynova, Y. V.

2014-12-01

A problem of making education relevant to the workplace tasks is a key problem of higher education in the professional field of environmental sciences. To answer this challenge several new courses for students of "Climatology" and "Meteorology" specialties were developed and implemented at the Tomsk State University, which comprises theoretical knowledge from up-to-date environmental sciences with computational tasks. To organize the educational process we use an open-source course management system Moodle (www.moodle.org). It gave us an opportunity to combine text and multimedia in a theoretical part of educational courses. The hands-on approach is realized through development of innovative trainings which are performed within the information-computational web GIS platform "Climate" (http://climate.scert.ru/). The platform has a set of tools and data bases allowing a researcher to perform climate changes analysis on the selected territory. The tools are also used for students' trainings, which contain practical tasks on climate modeling and climate changes assessment and analysis. Laboratory exercises are covering three topics: "Analysis of regional climate changes"; "Analysis of climate extreme indices on the regional scale"; and "Analysis of future climate". They designed to consolidate students' knowledge of discipline, to instill in them the skills to work independently with large amounts of geophysical data using modern processing and analysis tools of web-GIS platform "Climate" and to train them to present results obtained on laboratory work as reports with the statement of the problem, the results of calculations and logically justified conclusion. Thus, students are engaged in n the use of modern tools of the geophysical data analysis and it cultivates dynamic of their professional learning. The approach can help us to fill in this gap because it is the only approach that offers experience, increases students involvement, advance the use of modern

On the contribution of local feedback mechanisms to the range of climate sensitivity in two GCM ensembles

Energy Technology Data Exchange (ETDEWEB)

Webb, M.J.; Senior, C.A.; Sexton, D.M.H.; Ingram, W.J.; Williams, K.D.; Ringer, M.A. [Hadley Centre for Climate Prediction and Research, Met Office, Exeter (United Kingdom); McAvaney, B.J.; Colman, R. [Bureau of Meteorology Research Centre (BMRC), Melbourne (Australia); Soden, B.J. [University of Miami, Rosenstiel School for Marine and Atmospheric Science, Miami, FL (United States); Gudgel, R.; Knutson, T. [Geophysical Fluid Dynamics Laboratory (GFDL), Princeton, NJ (United States); Emori, S.; Ogura, T. [National Institute for Environmental Studies (NIES), Tsukuba (Japan); Tsushima, Y. [Japan Agency for Marine-Earth Science and Technology, Frontier Research Center for Global Change (FRCGC), Kanagawa (Japan); Andronova, N. [University of Michigan, Department of Atmospheric, Oceanic and Space Sciences, Ann Arbor, MI (United States); Li, B. [University of Illinois at Urbana-Champaign (UIUC), Department of Atmospheric Sciences, Urbana, IL (United States); Musat, I.; Bony, S. [Institut Pierre Simon Laplace (IPSL), Paris (France); Taylor, K.E. [Program for Climate Model Diagnosis and Intercomparison (PCMDI), Livermore, CA (United States)

2006-07-15

Global and local feedback analysis techniques have been applied to two ensembles of mixed layer equilibrium CO{sub 2} doubling climate change experiments, from the CFMIP (Cloud Feedback Model Intercomparison Project) and QUMP (Quantifying Uncertainty in Model Predictions) projects. Neither of these new ensembles shows evidence of a statistically significant change in the ensemble mean or variance in global mean climate sensitivity when compared with the results from the mixed layer models quoted in the Third Assessment Report of the IPCC. Global mean feedback analysis of these two ensembles confirms the large contribution made by inter-model differences in cloud feedbacks to those in climate sensitivity in earlier studies; net cloud feedbacks are responsible for 66% of the inter-model variance in the total feedback in the CFMIP ensemble and 85% in the QUMP ensemble. The ensemble mean global feedback components are all statistically indistinguishable between the two ensembles, except for the clear-sky shortwave feedback which is stronger in the CFMIP ensemble. While ensemble variances of the shortwave cloud feedback and both clear-sky feedback terms are larger in CFMIP, there is considerable overlap in the cloud feedback ranges; QUMP spans 80% or more of the CFMIP ranges in longwave and shortwave cloud feedback. We introduce a local cloud feedback classification system which distinguishes different types of cloud feedbacks on the basis of the relative strengths of their longwave and shortwave components, and interpret these in terms of responses of different cloud types diagnosed by the International Satellite Cloud Climatology Project simulator. In the CFMIP ensemble, areas where low-top cloud changes constitute the largest cloud response are responsible for 59% of the contribution from cloud feedback to the variance in the total feedback. A similar figure is found for the QUMP ensemble. Areas of positive low cloud feedback (associated with reductions in low level

New local energy supply as a communal task. Solar statutes between local autonomy and global climatic and resources protection; Neue oertliche Energieversorgung als kommunale Aufgabe. Solarsatzungen zwischen gemeindlicher Selbstverwaltung und globalem Klima- und Ressourcenschutz

Energy Technology Data Exchange (ETDEWEB)

Longo, Fabio

2010-07-01

Cities and communities have a constitutionally secured autonomy. What means this within the range of the protection of climate and resources? May communities take over global tasks, or are these limited in their local sphere of activity? In the meantime, in most German city halls something is done for the employment of renewable energies. Under this aspect, the author of the contribution under consideration reports at first on a comprehensive jurisprudential answer on the fundamental question which local tasks are entitled to the cities and communities and how this affects the range of climate protection and resources protection. Moreover, up-to-date particularly disputed local solar statutes are evaluated legally.

The influence of climate change on flood risks in France - first estimates and uncertainty analysis

Science.gov (United States)

Dumas, P.; Hallegatte, S.; Quintana-Seguì, P.; Martin, E.

2013-03-01

This paper proposes a methodology to project the possible evolution of river flood damages due to climate change, and applies it to mainland France. Its main contributions are (i) to demonstrate a methodology to investigate the full causal chain from global climate change to local economic flood losses; (ii) to show that future flood losses may change in a very significant manner over France; (iii) to show that a very large uncertainty arises from the climate downscaling technique, since two techniques with comparable skills at reproducing reference river flows give very different estimates of future flows, and thus of future local losses. The main conclusion is thus that estimating future flood losses is still out of reach, especially at local scale, but that future national-scale losses may change significantly over this century, requiring policy changes in terms of risk management and land-use planning.

Network analysis reveals strongly localized impacts of El Niño

Science.gov (United States)

Fan, Jingfang; Meng, Jun; Ashkenazy, Yosef; Havlin, Shlomo; Schellnhuber, Hans Joachim

2017-07-01

Climatic conditions influence the culture and economy of societies and the performance of economies. Specifically, El Niño as an extreme climate event is known to have notable effects on health, agriculture, industry, and conflict. Here, we construct directed and weighted climate networks based on near-surface air temperature to investigate the global impacts of El Niño and La Niña. We find that regions that are characterized by higher positive/negative network “in”-weighted links are exhibiting stronger correlations with the El Niño basin and are warmer/cooler during El Niño/La Niña periods. In contrast to non-El Niño periods, these stronger in-weighted activities are found to be concentrated in very localized areas, whereas a large fraction of the globe is not influenced by the events. The regions of localized activity vary from one El Niño (La Niña) event to another; still, some El Niño (La Niña) events are more similar to each other. We quantify this similarity using network community structure. The results and methodology reported here may be used to improve the understanding and prediction of El Niño/La Niña events and also may be applied in the investigation of other climate variables.

Climate change risk perception and communication: addressing a critical moment?

Science.gov (United States)

Pidgeon, Nick

2012-06-01

Climate change is an increasingly salient issue for societies and policy-makers worldwide. It now raises fundamental interdisciplinary issues of risk and uncertainty analysis and communication. The growing scientific consensus over the anthropogenic causes of climate change appears to sit at odds with the increasing use of risk discourses in policy: for example, to aid in climate adaptation decision making. All of this points to a need for a fundamental revision of our conceptualization of what it is to do climate risk communication. This Special Collection comprises seven papers stimulated by a workshop on "Climate Risk Perceptions and Communication" held at Cumberland Lodge Windsor in 2010. Topics addressed include climate uncertainties, images and the media, communication and public engagement, uncertainty transfer in climate communication, the role of emotions, localization of hazard impacts, and longitudinal analyses of climate perceptions. Climate change risk perceptions and communication work is critical for future climate policy and decisions. © 2012 Society for Risk Analysis.

Analysis of localized damage in creep rupture

International Nuclear Information System (INIS)

Wang Zhengdong; Wu Dongdi

1992-01-01

Continuum Damage Mechanics studies the effect of distributed defects, whereas the failure of engineering structures is usually caused by local damage. In this paper, an analysis of localized damage in creep rupture is carried out. The material tested is a 2 1/4Cr-1Mo pressure vessel steel and the material constants necessary for damage analysis are evaluated. Notched specimens are used to reflect localized damage in creep rupture and the amount of damage is measured using DCPD method. Through FEM computation, stress components and effective stress in the region of notch root are evaluated and it is found that the von Mises effective stress can represent the damage effective stress in the analysis of localized creep damage. It is possible to develop a method for the assessment of safety of pressure vessels under creep through localized creep damage analysis. (orig.)

Regional climate change trends and uncertainty analysis using extreme indices: A case study of Hamilton, Canada

OpenAIRE

Razavi, Tara; Switzman, Harris; Arain, Altaf; Coulibaly, Paulin

2016-01-01

This study aims to provide a deeper understanding of the level of uncertainty associated with the development of extreme weather frequency and intensity indices at the local scale. Several different global climate models, downscaling methods, and emission scenarios were used to develop extreme temperature and precipitation indices at the local scale in the Hamilton region, Ontario, Canada. Uncertainty associated with historical and future trends in extreme indices and future climate projectio...

The future of climate science analysis in a coming era of exascale computing

Science.gov (United States)

Bates, S. C.; Strand, G.

2013-12-01

Projections of Community Earth System Model (CESM) output based on the growth of data archived over 2000-2012 at all of our computing sites (NCAR, NERSC, ORNL) show that we can expect to reach 1,000 PB (1 EB) sometime in the next decade or so. The current paradigms of using site-based archival systems to hold these data that are then accessed via portals or gateways, downloading the data to a local system, and then processing/analyzing the data will be irretrievably broken before then. From a climate modeling perspective, the expertise involved in making climate models themselves efficient on HPC systems will need to be applied to the data as well - providing fast parallel analysis tools co-resident in memory with the data, because the disk I/O bandwidth simply will not keep up with the expected arrival of exaflop systems. The ability of scientists, analysts, stakeholders and others to use climate model output to turn these data into understanding and knowledge will require significant advances in the current typical analysis tools and packages to enable these processes for these vast volumes of data. Allowing data users to enact their own analyses on model output is virtually a requirement as well - climate modelers cannot anticipate all the possibilities for analysis that users may want to do. In addition, the expertise of data scientists, and their knowledge of the model output and their knowledge of best practices in data management (metadata, curation, provenance and so on) will need to be rewarded and exploited to gain the most understanding possible from these volumes of data. In response to growing data size, demand, and future projections, the CESM output has undergone a structure evolution and the data management plan has been reevaluated and updated. The major evolution of the CESM data structure is presented here, along with the CESM experience and role within the CMIP3/CMIP5.

Water impacts and water-climate goal conflicts of local energy choices - notes from a Swedish perspective

Science.gov (United States)

Ericsdotter Engström, Rebecka; Howells, Mark; Destouni, Georgia

2018-02-01

To meet both the Paris Agreement on Climate Change and the UN Sustainable Development Goals (SDGs), nations, sectors, counties and cities need to move towards a sustainable energy system in the next couple of decades. Such energy system transformations will impact water resources to varying extents, depending on the transformation strategy and fuel choices. Sweden is considered to be one of the most advanced countries towards meeting the SDGs. This paper explores the geographical origin of and the current water use associated with the supply of energy in the 21 regional counties of Sweden. These energy-related uses of water represent indirect, but still relevant, impacts for water management and the related SDG on clean water and sanitation (SDG 6). These indirect water impacts are here quantified and compared to reported quantifications of direct local water use, as well as to reported greenhouse gas (GHG) emissions, as one example of other types of environmental impacts of local energy choices in each county. For each county, an accounting model is set up based on data for the local energy use in year 2010, and the specific geographical origins and water use associated with these locally used energy carriers (fuels, heat and electricity) are further estimated and mapped based on data reported in the literature and open databases. Results show that most of the water use associated with the local Swedish energy use occurs outside of Sweden. Counties with large shares of liquid biofuel exhibit the largest associated indirect water use in regions outside of Sweden. This indirect water use for energy supply does not unambiguously correlate with either the local direct water use or the local GHG emissions, although for the latter, there is a tendency towards an inverse relation. Overall, the results imply that actions for mitigation of climate change by local energy choices may significantly affect water resources elsewhere. Swedish counties are thus important examples

Uncertainty in projected point precipitation extremes for hydrological impact analysis of climate change

Science.gov (United States)

Van Uytven, Els; Willems, Patrick

2017-04-01

Current trends in the hydro-meteorological variables indicate the potential impact of climate change on hydrological extremes. Therefore, they trigger an increased importance climate adaptation strategies in water management. The impact of climate change on hydro-meteorological and hydrological extremes is, however, highly uncertain. This is due to uncertainties introduced by the climate models, the internal variability inherent to the climate system, the greenhouse gas scenarios and the statistical downscaling methods. In view of the need to define sustainable climate adaptation strategies, there is a need to assess these uncertainties. This is commonly done by means of ensemble approaches. Because more and more climate models and statistical downscaling methods become available, there is a need to facilitate the climate impact and uncertainty analysis. A Climate Perturbation Tool has been developed for that purpose, which combines a set of statistical downscaling methods including weather typing, weather generator, transfer function and advanced perturbation based approaches. By use of an interactive interface, climate impact modelers can apply these statistical downscaling methods in a semi-automatic way to an ensemble of climate model runs. The tool is applicable to any region, but has been demonstrated so far to cases in Belgium, Suriname, Vietnam and Bangladesh. Time series representing future local-scale precipitation, temperature and potential evapotranspiration (PET) conditions were obtained, starting from time series of historical observations. Uncertainties on the future meteorological conditions are represented in two different ways: through an ensemble of time series, and a reduced set of synthetic scenarios. The both aim to span the full uncertainty range as assessed from the ensemble of climate model runs and downscaling methods. For Belgium, for instance, use was made of 100-year time series of 10-minutes precipitation observations and daily

Multi-scale analysis of teleconnection indices: climate noise and nonlinear trend analysis

Directory of Open Access Journals (Sweden)

C. Franzke

2009-02-01

Full Text Available The multi-scale nature and climate noise properties of teleconnection indices are examined by using the Empirical Mode Decomposition (EMD procedure. The EMD procedure allows for the analysis of non-stationary time series to extract physically meaningful intrinsic mode functions (IMF and nonlinear trends. The climatologically relevant monthly mean teleconnection indices of the North Atlantic Oscillation (NAO, the North Pacific index (NP and the Southern Annular Mode (SAM are analyzed.

The significance of IMFs and trends are tested against the null hypothesis of climate noise. The analysis of surrogate monthly mean time series from a red noise process shows that the EMD procedure is effectively a dyadic filter bank and the IMFs (except the first IMF are nearly Gaussian distributed. The distribution of the variance contained in IMFs of an ensemble of AR(1 simulations is nearly χ² distributed. To test the statistical significance of the IMFs of the teleconnection indices and their nonlinear trends we utilize an ensemble of corresponding monthly averaged AR(1 processes, which we refer to as climate noise. Our results indicate that most of the interannual and decadal variability of the analysed teleconnection indices cannot be distinguished from climate noise. The NP and SAM indices have significant nonlinear trends, while the NAO has no significant trend when tested against a climate noise hypothesis.

Climate cure 2020 measures and instruments to achieve Norwegian climate goals by 2020. Chapter 10 - the transport sector analysis

Energy Technology Data Exchange (ETDEWEB)

2010-11-15

This document is a translation of Chapter 10, Sector analysis of transport, in the Norwegian report Climate Cure 2020, Measures and Instruments for Achieving Norwegian Climate Goals by 2020. The sector analysis has been prepared by an inter agency working group, conducted by the Norwegian Public Road Administration. (Author)

Predicting the impacts of climate change on animal distributions: the importance of local adaptation and species' traits

Energy Technology Data Exchange (ETDEWEB)

HELLMANN, J. J.; LOBO, N. F.

2011-12-20

The geographic range limits of many species are strongly affected by climate and are expected to change under global warming. For species that are able to track changing climate over broad geographic areas, we expect to see shifts in species distributions toward the poles and away from the equator. A number of ecological and evolutionary factors, however, could restrict this shifting or redistribution under climate change. These factors include restricted habitat availability, restricted capacity for or barriers to movement, or reduced abundance of colonists due the perturbation effect of climate change. This research project examined the last of these constraints - that climate change could perturb local conditions to which populations are adapted, reducing the likelihood that a species will shift its distribution by diminishing the number of potential colonists. In the most extreme cases, species ranges could collapse over a broad geographic area with no poleward migration and an increased risk of species extinction. Changes in individual species ranges are the processes that drive larger phenomena such as changes in land cover, ecosystem type, and even changes in carbon cycling. For example, consider the poleward range shift and population outbreaks of the mountain pine beetle that has decimated millions of acres of Douglas fir trees in the western US and Canada. Standing dead trees cause forest fires and release vast quantities of carbon to the atmosphere. The beetle likely shifted its range because it is not locally adapted across its range, and it appears to be limited by winter low temperatures that have steadily increased in the last decades. To understand range and abundance changes like the pine beetle, we must reveal the extent of adaptive variation across species ranges - and the physiological basis of that adaptation - to know if other species will change as readily as the pine beetle. Ecologists tend to assume that range shifts are the dominant

Economic impacts of climate change in Australia: framework and analysis

International Nuclear Information System (INIS)

Ford, Melanie

2007-01-01

Full text: There is growing interest in understanding the potential impacts of climate change in Australia, and especially the economic impacts of 'inaction'. In this study, a preliminary analysis of the possible economic impacts of future climate change in Australia is undertaken using ABARE's general equilibrium model of the global economy, GTEM. In order to understand the potential economy-wide economic impacts, the broad climatic trends that Australia is likely to experience over the next several decades are canvassed and the potential economic and non-economic impacts on key risk areas, such as water resources, agriculture and forests, health, industry and human settlements and the ecosystems, are identified. A more detailed analysis of the economic impacts of climate change are undertaken by developing two case studies. In the first case study, the economic impact of climate change and reduced water availability on the agricultural sector is assessed in the Murray-Darling Basin. In the second case study, the sectoral economic impacts on the Australian resources sector of a projected decline in global economic activity due to climate change is analysed. The key areas of required development to more fully understand the economy-wide and sectoral impacts of climate change are also discussed including issues associated with estimating both non-market and market impacts. Finally, an analytical framework for undertaking integrated assessment of climate change impacts domestically and globally is developed

PAVICS: A Platform for the Analysis and Visualization of Climate Science

Science.gov (United States)

Gauvin St-Denis, B.; Landry, T.; Huard, D. B.; Byrns, D.; Chaumont, D.; Foucher, S.

2016-12-01

Climate service providers are boundary organizations working at the interface of climate science research and users of climate information. Users include academics in other disciplines looking for credible, customized future climate scenarios, government planners, resource managers, asset owners, as well as service utilities. These users are looking for relevant information regarding the impacts of climate change as well as informing decisions regarding adaptation options. As climate change concerns become mainstream, the pressure on climate service providers to deliver tailored, high quality information in a timely manner increases rapidly. To meet this growing demand, Ouranos, a climate service center located in Montreal, is collaborating with the Centre de recherche informatique de Montreal (CRIM) to develop a climate data analysis web-based platform interacting with RESTful services covering data access and retrieval, geospatial analysis, bias correction, distributed climate indicator computing and results visualization. The project, financed by CANARIE, relies on the experience of the UV-CDAT and ESGF-CWT teams, as well as on the Birdhouse framework developed by the German Climate Research Center (DKRZ) and French IPSL. Climate data is accessed through OPEnDAP, while computations are carried through WPS. Regions such as watersheds or user-defined polygons, used as spatial selections for computations, are managed by GeoServer, also providing WMS, WFS and WPS capabilities. The services are hosted on independent servers communicating by high throughput network. Deployment, maintenance and collaboration with other development teams are eased by the use of Docker and OpenStack VMs. Web-based tools are developed with modern web frameworks such as React-Redux, OpenLayers 3, Cesium and Plotly. Although the main objective of the project is to build a functioning, usable data analysis pipeline within two years, time is also devoted to explore emerging technologies and

Comparative analysis of elements and models of implementation in local-level spatial plans in Serbia

Directory of Open Access Journals (Sweden)

Stefanović Nebojša

2017-01-01

Full Text Available Implementation of local-level spatial plans is of paramount importance to the development of the local community. This paper aims to demonstrate the importance of and offer further directions for research into the implementation of spatial plans by presenting the results of a study on models of implementation. The paper describes the basic theoretical postulates of a model for implementing spatial plans. A comparative analysis of the application of elements and models of implementation of plans in practice was conducted based on the spatial plans for the local municipalities of Arilje, Lazarevac and Sremska Mitrovica. The analysis includes four models of implementation: the strategy and policy of spatial development; spatial protection; the implementation of planning solutions of a technical nature; and the implementation of rules of use, arrangement and construction of spaces. The main results of the analysis are presented and used to give recommendations for improving the elements and models of implementation. Final deliberations show that models of implementation are generally used in practice and combined in spatial plans. Based on the analysis of how models of implementation are applied in practice, a general conclusion concerning the complex character of the local level of planning is presented and elaborated. [Project of the Serbian Ministry of Education, Science and Technological Development, Grant no. TR 36035: Spatial, Environmental, Energy and Social Aspects of Developing Settlements and Climate Change - Mutual Impacts and Grant no. III 47014: The Role and Implementation of the National Spatial Plan and Regional Development Documents in Renewal of Strategic Research, Thinking and Governance in Serbia

Managing air and water quality in the face of uncertain futures: perspectives, perceptions, reported action, and needs for climate adaptation at the local level

Science.gov (United States)

Bedsworth, L. W.; Ekstrom, J.

2017-12-01

As the climate continues to shift, projections show amplified and more frequent extreme events, including coastal and inland flooding, wildfires, prolonged droughts, and heatwaves. Vital public goods, both air quality and water quality, can be critically affected by such extreme events. Climate change will make it increasingly difficult for managers to achieve public health targets for air and water quality. Successfully preparing governance structures developed to maintain and improve air and water quality may benefit from preventative strategies to avoid public health impacts and costs of climate change locally. Perceptions of climate change and its risks, actions taken so far, and perceived barriers to adaptation give insight into the needs of managers for preparing for climate change impacts. This paper compares results of two surveys that looked at local level management of air quality and water quality in California. Air quality managers consistently reported to recognize the risks of climate change on their sector, where water quality managers' perceptions varied between no concern to high concern. We explore the differences in governance, capacity influence the ill-defined responsibility and assumed roles of water and air districts in adaptation to extreme events increasing with climate change. The chain and network of managing air quality is compared with that of water quality - laying out similarities and differences. Then we compare how the survey respondents differed in terms of extreme weather-influenced threats to environmental quality. We end with a discussion of responsibility - where in the chain of managing these life-critical ecosystem services, is the need greatest for adapting to climate change and what does this mean for the other levels in the chain beyond the local management.

Quantifying the effect of Tmax extreme events on local adaptation to climate change of maize crop in Andalusia for the 21st century

Science.gov (United States)

Gabaldon, Clara; Lorite, Ignacio J.; Ines Minguez, M.; Lizaso, Jon; Dosio, Alessandro; Sanchez, Enrique; Ruiz-Ramos, Margarita

2015-04-01

Agriculture, Food Security and Climate Change (FACCE - JPI) of EU and is financed by MULCLIVAR project (CGL2012-38923-C02-02) and IFAPA project AGR6126 from Junta de Andalucía, Spain. References Dosio A. and Paruolo P., 2011. Bias correction of the ENSEMBLES high-resolution climate change projections for use by impact models: Evaluation on the present climate. Journal of Geophysical Research, VOL. 116, D16106, doi:10.1029/2011JD015934 Dosio A., Paruolo P. and Rojas R., 2012. Bias correction of the ENSEMBLES high resolution climate change projections for use by impact models: Analysis of the climate change signal. Journal of Geophysical Research, Volume 117, D17, doi: 0.1029/2012JD017968 Gabaldón C, Lorite IJ, Mínguez MI, Dosio A, Sánchez-Sánchez E and Ruiz-Ramos M, 2013. Evaluation of local adaptation strategies to climate change of maize crop in Andalusia for the first half of 21st century. Geophysical Research Abstracts. Vol. 15, EGU2013-13625, 2013. EGU General Assembly 2013, April 2013, Vienna, Austria. Jones C.A. and J.R. Kiniry. 1986. CERES-Maize: A simulation model of maize growth and development. Texas A&M Univ. Press, College Station. Ruiz-Ramos M., E. Sanchez, C. Galllardo, and M.I. Minguez. 2011. Impacts of projected maximum temperature extremes for C21 by an ensemble of regional climate models on cereal cropping systems in the Iberian Peninsula. Natural Hazards and Earth System Science 11: 3275-3291. Teixeira EI, Fischer G, van Velthuizen H, Walter C, Ewert F. Global hotspots of heat stress on agricultural crops due to climate change. Agric For Meteorol. 2013;170(15):206-215.

Climate change adapatation response at local government level

CSIR Research Space (South Africa)

Mambo, Julia

2018-03-01

Full Text Available The climate change response policy gives the mandate to all municipalities and other levels of government to develop and implement climate chnage adaptation response. The availability of appropriate information is essential for this process...

European Climate - Energy Security Nexus. A model based scenario analysis

International Nuclear Information System (INIS)

Criqui, Patrick; Mima, Silvana

2011-01-01

In this research, we have provided an overview of the climate-security nexus in the European sector through a model based scenario analysis with POLES model. The analysis underline that under stringent climate policies, Europe take advantage of a double dividend in its capacity to develop a new cleaner energy model and in lower vulnerability to potential shocks on the international energy markets. (authors)

The JASMIN Analysis Platform - bridging the gap between traditional climate data practicies and data-centric analysis paradigms

Science.gov (United States)

Pascoe, Stephen; Iwi, Alan; kershaw, philip; Stephens, Ag; Lawrence, Bryan

2014-05-01

The advent of large-scale data and the consequential analysis problems have led to two new challenges for the research community: how to share such data to get the maximum value and how to carry out efficient analysis. Solving both challenges require a form of parallelisation: the first is social parallelisation (involving trust and information sharing), the second data parallelisation (involving new algorithms and tools). The JASMIN infrastructure supports both kinds of parallelism by providing a multi-tennent environment with petabyte-scale storage, VM provisioning and batch cluster facilities. The JASMIN Analysis Platform (JAP) is an analysis software layer for JASMIN which emphasises ease of transition from a researcher's local environment to JASMIN. JAP brings together tools traditionally used by multiple communities and configures them to work together, enabling users to move analysis from their local environment to JASMIN without rewriting code. JAP also provides facilities to exploit JASMIN's parallel capabilities whilst maintaining their familiar analysis environment where ever possible. Modern opensource analysis tools typically have multiple dependent packages, increasing the installation burden on system administrators. When you consider a suite of tools, often with both common and conflicting dependencies, analysis pipelines can become locked to a particular installation simply because of the effort required to reconstruct the dependency tree. JAP addresses this problem by providing a consistent suite of RPMs compatible with RedHat Enterprise Linux and CentOS 6.4. Researchers can install JAP locally, either as RPMs or through a pre-built VM image, giving them the confidence to know moving analysis to JASMIN will not disrupt their environment. Analysis parallelisation is in it's infancy in climate sciences, with few tools capable of exploiting any parallel environment beyond manual scripting of the use of multiple processors. JAP begins to bridge this

Selection of climate change scenario data for impact modelling

DEFF Research Database (Denmark)

Sloth Madsen, M; Fox Maule, C; MacKellar, N

2012-01-01

Impact models investigating climate change effects on food safety often need detailed climate data. The aim of this study was to select climate change projection data for selected crop phenology and mycotoxin impact models. Using the ENSEMBLES database of climate model output, this study...... illustrates how the projected climate change signal of important variables as temperature, precipitation and relative humidity depends on the choice of the climate model. Using climate change projections from at least two different climate models is recommended to account for model uncertainty. To make...... the climate projections suitable for impact analysis at the local scale a weather generator approach was adopted. As the weather generator did not treat all the necessary variables, an ad-hoc statistical method was developed to synthesise realistic values of missing variables. The method is presented...

Visualizing and communicating climate change using the ClimateWizard: decision support and education through web-based analysis and mapping

Science.gov (United States)

Girvetz, E. H.; Zganjar, C.; Raber, G. T.; Maurer, E. P.; Duffy, P.

2009-12-01

Virtually all fields of study and parts of society—from ecological science and nature conservation, to global development, multinational corporations, and government bodies—need to know how climate change has and may impact specific locations of interest. Our ability to respond to climate change depends on having convenient tools that make past and projected climate trends available to planners, managers, scientists and the general public, at scales ranging from global to local scales. Web-mapping applications provide an effective platform for communicating climate change impacts in specific geographic areas of interest to the public. Here, we present one such application, the ClimateWizard, that allows users to analyze, visualize and explore climate change maps for specific geographic areas of interest throughout the world (http://ClimateWizard.org). Built on Web 2.0 web-services (SOAP), Google Maps mash-up, and cloud computing technologies, the ClimateWizard analyzes large databases of climate information located on remote servers to create synthesized information and useful products tailored to geographic areas of interest (e.g. maps, graphs, tables, GIS layers). We demonstrate how the ClimateWizard can be used to assess projected changes to temperature and precipitation across all states in the contiguous United States and all countries of the world using statistically downscaled general circulation models from the CMIP3 dataset. We then go on to show how ClimateWizard can be used to analyze changes to other climate related variables, such as moisture stress and water production. Finally, we discuss how this tool can be adapted to develop a wide range of web-based tools that are targeted at informing specific audiences—from scientific research and natural resource management, to K-12 and higher education—about how climate change may affect different aspects of human and natural systems.

Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT) Final Report

Energy Technology Data Exchange (ETDEWEB)

Williams, Dean N. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States)

2014-05-19

A partnership across government, academic, and private sectors has created a novel system that enables climate researchers to solve current and emerging data analysis and visualization challenges. The Ultrascale Visualization Climate Data Analysis Tools (UV-CDAT) software project utilizes the Python application programming interface (API) combined with C/C++/Fortran implementations for performance-critical software that offers the best compromise between "scalability" and “ease-of-use.” The UV-CDAT system is highly extensible and customizable for high-performance interactive and batch visualization and analysis for climate science and other disciplines of geosciences. For complex, climate data-intensive computing, UV-CDAT’s inclusive framework supports Message Passing Interface (MPI) parallelism as well as taskfarming and other forms of parallelism. More specifically, the UV-CDAT framework supports the execution of Python scripts running in parallel using the MPI executable commands and leverages Department of Energy (DOE)-funded general-purpose, scalable parallel visualization tools such as ParaView and VisIt. This is the first system to be successfully designed in this way and with these features. The climate community leverages these tools and others, in support of a parallel client-server paradigm, allowing extreme-scale, server-side computing for maximum possible speed-up.

Decision analysis of shoreline protection under climate change uncertainty

Science.gov (United States)

Chao, Philip T.; Hobbs, Benjamin F.

1997-04-01

If global warming occurs, it could significantly affect water resource distribution and availability. Yet it is unclear whether the prospect of such change is relevant to water resources management decisions being made today. We model a shoreline protection decision problem with a stochastic dynamic program (SDP) to determine whether consideration of the possibility of climate change would alter the decision. Three questions are addressed with the SDP: (l) How important is climate change compared to other uncertainties?, (2) What is the economic loss if climate change uncertainty is ignored?, and (3) How does belief in climate change affect the timing of the decision? In the case study, sensitivity analysis shows that uncertainty in real discount rates has a stronger effect upon the decision than belief in climate change. Nevertheless, a strong belief in climate change makes the shoreline protection project less attractive and often alters the decision to build it.

Coastal Hazards and Climate Change. A guidance manual for Local Government in New Zealand

International Nuclear Information System (INIS)

Wratt, D.; Mullan, B.; Salinger, J.; Allan, S.; Morgan, T.; Kenny, G.

2004-05-01

Climate change will not introduce any new types of coastal hazards, but it will affect existing hazards. Coastal hazards in many areas are expected to increase as a result of the effects of climate change. As development of coastal areas and property values increase, the potential impacts of coastal hazards increase. There is increasing confidence in the predictions of the effects of climate change. Sea level has risen in New Zealand by about 0.25 m since the mid-1800s (historical sea-level rise has been approximately 0.16 m per century), and this rise is expected to accelerate. Under the most likely mid-range projections, sea level is projected to rise a further 0.14 - 0.18 m by 2050, and 0.31 - 0.49 m by 2100. In developing scenarios, it is recommended that at least the most likely mid-range scenario for sea-level rise is used: it is recommended that council staff use a figure of 0.2 m by 2050 and 0.5 m by 2100 when considering sea-level rise in projects or plans. Sea-level rise and other climate change effects, such as increased intensity of storms and changes in sediment supply to coastlines, are expected to modify coastal hazards in many areas around New Zealand. Because climate change effects are very gradual, land-use planning decisions must have long-term horizons to accommodate the lifetimes of structures. It is vital that planning occurs now for climate change effects, particularly where decisions are being made on issues and developments that have planning horizons and life expectancies of 50 years or more. This Guidance Manual is intended to help local authorities manage coastal hazards by: providing information on the effects of climate change on coastal hazards; presenting a decision-making framework to assess the associated risks; providing guidance on appropriate response options. Three main types of coastal hazard are addressed: coastal erosion caused by storms and/or long-term processes; coastal inundation caused by storms or gradual inundation

Regional climate change mitigation analysis

Energy Technology Data Exchange (ETDEWEB)

Rowlands, Ian H [UNEP Collaborating Centre on Energy and Environment, and Univ. of Waterloo (Canada)

1998-10-01

The purpose of this paper is to explore some of the key methodological issues that arise from an analysis of regional climate change mitigation options. The rationale for any analysis of regional mitigation activities, emphasising both the theoretical attractiveness and the existing political encouragement and the methodology that has been developed are reviewed. The differences arising from the fact that mitigation analyses have been taken from the level of the national - where the majority of the work has been completed to date - to the level of the international - that is, the `regional` - will be especially highlighted. (EG)

Regional climate change mitigation analysis

International Nuclear Information System (INIS)

Rowlands, Ian H.

1998-01-01

The purpose of this paper is to explore some of the key methodological issues that arise from an analysis of regional climate change mitigation options. The rationale for any analysis of regional mitigation activities, emphasising both the theoretical attractiveness and the existing political encouragement and the methodology that has been developed are reviewed. The differences arising from the fact that mitigation analyses have been taken from the level of the national - where the majority of the work has been completed to date - to the level of the international - that is, the 'regional' - will be especially highlighted. (EG)

Impact of Land Use Change on the Local Climate over the Tibetan Plateau

Directory of Open Access Journals (Sweden)

Jiming Jin

2010-01-01

Full Text Available Observational data show that the remotely sensed leaf area index (LAI has a significant downward trend over the east Tibetan Plateau (TP, while a warming trend is found in the same area. Further analysis indicates that this warming trend mainly results from the nighttime warming. The Single-Column Atmosphere Model (SCAM version 3.1 developed by the National Center for Atmospheric Research is used to investigate the role of land use change in the TP local climate system and isolate the contribution of land use change to the warming. Two sets of SCAM simulations were performed at the Xinghai station that is located near the center of the TP Sanjiang (three rivers Nature Reserve where the downward LAI trend is largest. These simulations were forced with the high and low LAIs. The modeling results indicate that, when the LAI changes from high to low, the daytime temperature has a slight decrease, while the nighttime temperature increases significantly, which is consistent with the observations. The modeling results further show that the lower surface roughness length plays a significant role in affecting the nighttime temperature increase.

Climate network analysis of regional precipitation extremes: The true story told by event synchronization

Science.gov (United States)

Odenweller, Adrian; Donner, Reik V.

2017-04-01

Over the last decade, complex network methods have been frequently used for characterizing spatio-temporal patterns of climate variability from a complex systems perspective, yielding new insights into time-dependent teleconnectivity patterns and couplings between different components of the Earth climate. Among the foremost results reported, network analyses of the synchronicity of extreme events as captured by the so-called event synchronization have been proposed to be powerful tools for disentangling the spatio-temporal organization of particularly extreme rainfall events and anticipating the timing of monsoon onsets or extreme floodings. Rooted in the analysis of spike train synchrony analysis in the neurosciences, event synchronization has the great advantage of automatically classifying pairs of events arising at two distinct spatial locations as temporally close (and, thus, possibly statistically - or even dynamically - interrelated) or not without the necessity of selecting an additional parameter in terms of a maximally tolerable delay between these events. This consideration is conceptually justified in case of the original application to spike trains in electroencephalogram (EEG) recordings, where the inter-spike intervals show relatively narrow distributions at high temporal sampling rates. However, in case of climate studies, precipitation extremes defined by daily precipitation sums exceeding a certain empirical percentile of their local distribution exhibit a distinctively different type of distribution of waiting times between subsequent events. This raises conceptual concerns if event synchronization is still appropriate for detecting interlinkages between spatially distributed precipitation extremes. In order to study this problem in more detail, we employ event synchronization together with an alternative similarity measure for event sequences, event coincidence rates, which requires a manual setting of the tolerable maximum delay between two

SEA Screening of voluntary Climate Change Plans

DEFF Research Database (Denmark)

Kørnøv, Lone; Wejs, Anja

2013-01-01

that discretionary judgement takes place and will impact on the screening decision. This article examines the results of discretion involved in screening of climate change plans (CCPs) in a Danish context. These years voluntary CCPs are developed as a response to the global and local emergence of both mitigation...... rests upon a docu- mentary study of Danish CCPs, interviews with a lawyer and ministerial key person and informal discussions between researchers, practitioners and lawyers on whether climate change plans are covered by SEA legislation and underlying reasons for the present practice. Based on a critical...... and adap- tation, and the voluntary commitment by the local authorities is an indication of an emerging norm of climate change as an important issue. This article takes its point of departure in the observation that SEA is not undertaken for these voluntary CCPs. The critical analysis of this phenomenon...

Climate change analysis relevant to Jabiluka. Supervising Scientist report 141

International Nuclear Information System (INIS)

Jones, R.N.; Abbs, D.J.; Hennessy, K.J.

1999-01-01

The aim of the work presented here is to quantify the effects of climate change on rainfall and temperature, and its implications for parameters used in the design of water storage facilities to be used for the next 30 years at the Jabiluka Project, Northern Territory. Changes to average rainfall and temperature, and rainfall variability on decadal to scales of less than one day are investigated. Climate change scenarios have been constructed where projections of climate change can be quantified. Some submissions to the Draft Jabiluka Environmental Impact Statement (EIS) raised concerns about the impact of climate change on the design of hydrologic structures for the Jabiluka project (eg Supplement to the Draft EIS, Kinhill and ERAES 1997, p5-27; Wasson et al 1998). Six General Circulation Model (GCM) simulations were analysed to determine possible temperature and rainfall changes over the region surrounding the Jabiluka mine site: two simulations of the CSIRO GCM, one from the CSIRO limited area model, DARLAM, and single GCM simulations from the Deutsches Klimarechenzentrum (DKRZ), UK Meteorological Office (Hadley Centre) and Canadian Centre for Climate Modelling and Analysis. Due to uncertainties resulting from differing emission scenarios and climate sensitivities these climate models will give different answers. However, under climate change, the hydrological cycle is expected to become more intense (IPCC 1996) through higher evaporation, an increase in the water-holding capacity of the atmosphere and heavier rainfall. GCM output is required to show how this may change on the regional scale, so CSIRO has investigated the models listed above to create scenarios for seasonal rainfall. This involves deriving patterns of local change calculated from the models. The methods used are described in section 2.2. In addition to the enhanced greenhouse effect, natural climatic variability can also have implications for the design of water retention structures. Decadal

Multi-criteria evaluation of CMIP5 GCMs for climate change impact analysis

Science.gov (United States)

Ahmadalipour, Ali; Rana, Arun; Moradkhani, Hamid; Sharma, Ashish

2017-04-01

Climate change is expected to have severe impacts on global hydrological cycle along with food-water-energy nexus. Currently, there are many climate models used in predicting important climatic variables. Though there have been advances in the field, there are still many problems to be resolved related to reliability, uncertainty, and computing needs, among many others. In the present work, we have analyzed performance of 20 different global climate models (GCMs) from Climate Model Intercomparison Project Phase 5 (CMIP5) dataset over the Columbia River Basin (CRB) in the Pacific Northwest USA. We demonstrate a statistical multicriteria approach, using univariate and multivariate techniques, for selecting suitable GCMs to be used for climate change impact analysis in the region. Univariate methods includes mean, standard deviation, coefficient of variation, relative change (variability), Mann-Kendall test, and Kolmogorov-Smirnov test (KS-test); whereas multivariate methods used were principal component analysis (PCA), singular value decomposition (SVD), canonical correlation analysis (CCA), and cluster analysis. The analysis is performed on raw GCM data, i.e., before bias correction, for precipitation and temperature climatic variables for all the 20 models to capture the reliability and nature of the particular model at regional scale. The analysis is based on spatially averaged datasets of GCMs and observation for the period of 1970 to 2000. Ranking is provided to each of the GCMs based on the performance evaluated against gridded observational data on various temporal scales (daily, monthly, and seasonal). Results have provided insight into each of the methods and various statistical properties addressed by them employed in ranking GCMs. Further; evaluation was also performed for raw GCM simulations against different sets of gridded observational dataset in the area.

A Meta-Analysis of Urban Climate Change Adaptation ...

Science.gov (United States)

The concentration of people, infrastructure, and ecosystem services in urban areas make them prime sites for climate change adaptation. While advances have been made in developing frameworks for adaptation planning and identifying both real and potential barriers to action, empirical work evaluating urban adaptation planning processes has been relatively piecemeal. Existing assessments of current experience with urban adaptation provide necessarily broad generalizations based on the available peer-reviewed literature. This paper uses a meta-analysis of U.S. cities’ current experience with urban adaptation planning drawing from 54 sources that include peer-reviewed literature, government reports, white papers, and reports published by non-governmental organizations. The analysis specifically evaluates the institutional support structures being developed for urban climate change adaptation. The results demonstrate that adaptation planning is driven by a desire to reduce vulnerability and often catalyzes new collaborations and coordination mechanisms in urban governance. As a result, building capacity for urban climate change adaptation planning requires a focus not only on city governments themselves but also on the complex horizontal and vertical networks that have arisen around such efforts. Existing adaptation planning often lacks attention to equity issues, social vulnerability, and the influence of non-climatic factors on vulnerability. Engaging city govern

High-ambitious local climate policies to reduce CO2 emissions : Municipal strategies to approach homeowners in the Netherlands

NARCIS (Netherlands)

Tambach, M.

2009-01-01

Municipalities are the constructors of local climate policies and the upholders of building law. But regarding the existing housing stock, they are lacking effective legal instruments to improve the energy efficiency of this stock, which is occupied by different homeowner categories. Regarding

Fishers’ local knowledge on impact of climate change and anthropogenic interferences on Hilsa fishery in South Asia

DEFF Research Database (Denmark)

Jahan, Israt; Ahsan, Dewan; Farque, Md Hasan

2017-01-01

fishers’ perceptions on effect of climate change and anthropogenic impact on Hilsa fishery at lower Meghna. Fishers’ ecological knowledge indicates that the stock of Hilsa is declining due to several adverse climatic conditions such as increased water temperature, salinity intrusion and low freshwater....... The study also indicates that the major constraints to adopt with the change situation are low level of human capital and restricted access to the formal credit system. Therefore, incorporation of local knowledge in governmental policy formulation and public support to improve human skill are essential...

Linking Climate Risk, Policy Networks and Adaptation Planning in Public Lands

Science.gov (United States)

Lubell, M.; Schwartz, M.; Peters, C.

2014-12-01

Federal public land management agencies in the United States have engaged a variety of planning efforts to address climate adaptation. A major goal of these efforts is to build policy networks that enable land managers to access information and expertise needed for responding to local climate risks. This paper investigates whether the perceived and modeled climate risk faced by different land managers is leading to larger networks or more participating in climate adaptation. In theory, the benefits of climate planning networks are larger when land managers are facing more potential changes. The basic hypothesis is tested with a survey of public land managers from hundreds of local and regional public lands management units in the Southwestern United States, as well as other stakeholders involved with climate adaptation planning. All survey respondents report their perceptions of climate risk along a variety of dimensions, as well as their participation in climate adaptation planning and information sharing networks. For a subset of respondents, we have spatially explicity GIS data about their location, which will be linked with downscaled climate model data. With the focus on climate change, the analysis is a subset of the overall idea of linking social and ecological systems.

Climate impact on airborne particulate matter concentrations in California using seven year analysis periods

Directory of Open Access Journals (Sweden)

A. Mahmud

2010-11-01

Full Text Available The effect of global climate change on the annual average concentration of fine particulate matter (PM_2.5 in California was studied using a climate-air quality modeling system composed of global through regional models. Output from the NCAR/DOE Parallel Climate Model (PCM generated under the "business as usual" global emissions scenario was downscaled using the Weather Research and Forecasting (WRF model followed by air quality simulations using the UCD/CIT airshed model. The system represents major atmospheric processes acting on gas and particle phase species including meteorological effects on emissions, advection, dispersion, chemical reaction rates, gas-particle conversion, and dry/wet deposition. The air quality simulations were carried out for the entire state of California with a resolution of 8-km for the years 2000–2006 (present climate with present emissions and 2047–2053 (future climate with present emissions. Each of these 7-year analysis periods was analyzed using a total of 1008 simulated days to span a climatologically relevant time period with a practical computational burden. The 7-year windows were chosen to properly account for annual variability with the added benefit that the air quality predictions under the present climate could be compared to actual measurements. The climate-air quality modeling system successfully predicted the spatial pattern of present climate PM_2.5 concentrations in California but the absolute magnitude of the annual average PM_2.5 concentrations were under-predicted by ~4–39% in the major air basins. The majority of this under-prediction was caused by excess ventilation predicted by PCM-WRF that should be present to the same degree in the current and future time periods so that the net bias introduced into the comparison is minimized.

Surface temperature, relative humidity (RH, rain rate, and wind speed were predicted to increase in the future climate

Economic Analysis of Climate Change Best Management Practices in Vermont Agriculture

Directory of Open Access Journals (Sweden)

Alexander P. Helling

2015-09-01

Full Text Available Climate change impacts local agricultural systems in detectable and distinguishable ways from large-scale shifts in water, land, and weather patterns to regionally specific distributions of weeds, pests, and diseases. Best management practices for adapting to and mitigating the effects of climate change include modifications to farm production through adjusted intensity and product types and changing land use through crop siting and tillage practices. Farmer perceptions of risk and profitability of best management practices are key determinants of adoption, which traditional incentive programs like the Environmental Quality Incentive Program attempt to address by providing financial and technical support. To ensure that payments offered through these programs that maximize adoption, regional incentive payments must be based upon locally established costs. This paper focuses on the cost of implementing and maintaining climate change specific best management practices (CCBMPs for twelve diverse farms in Vermont. Specifically, three CCBMPs for Vermont are examined: cover cropping, management intensive rotational grazing (MIRG, and riparian buffer strips. Results show the average cost for cover cropping is $129.24/acre, MIRG is $79.82/acre, and a tree based riparian buffer strip cost $807.33/acre. We conclude that existing incentive payments for cover cropping and MIRG are below costs, likely resulting in under-adoption.

Global Squeeze: Assessing Climate-Critical Resource Constraints for Coastal Climate Adaptation

Science.gov (United States)

Chase, N. T.; Becker, A.; Schwegler, B.; Fischer, M.

2014-12-01

The projected impacts of climate change in the coastal zone will require local planning and local resources to adapt to increasing risks of social, environmental, and economic consequences from extreme events. This means that, for the first time in human history, aggregated local demands could outpace global supply of certain "climate-critical resources." For example, construction materials such as sand and gravel, steel, and cement may be needed to fortify many coastal locations at roughly the same point in time if decision makers begin to construct new storm barriers or elevate coastal lands. Where might adaptation bottlenecks occur? Can the world produce enough cement to armour the world's seaports as flood risks increase due to sea-level rise and more intense storms? Just how many coastal engineers would multiple such projects require? Understanding such global implications of adaptation requires global datasets—such as bathymetry, coastal topography, local sea-level rise and storm surge projections, and construction resource production capacity—that are currently unavailable at a resolution appropriate for a global-scale analysis. Our research group has identified numerous gaps in available data necessary to make such estimates on both the supply and demand sides of this equation. This presentation examines the emerging need and current availability of these types of datasets and argues for new coordinated efforts to develop and share such data.

Local collectivities and climatic change. Are you ready? A guide for the adaptation devoted to the local collectivities; Collectivites locales et changement climatique. Etes-vous pret? Un guide pour l'adaptation a l'attention des collectivites locales

Energy Technology Data Exchange (ETDEWEB)

NONE

2004-07-01

Facing the climatic change effects, it is necessary to develop a national but also regional adaptation policy to the global warming. This guide aims to give, to the local managers, information on the global warming and bring possible adaptation measures. The sectors of planning, buildings, transports, public health, environment and public information are discussed. (A.L.B.)

The relative role of dispersal and local interactions for alpine plant community diversity under simulated climate warming

Energy Technology Data Exchange (ETDEWEB)

Klanderud, K.; Totland, Oe. [Norwegian Univ. of Life Science, Dept. of Ecology and Natural Resource Management, Aas (Norway)

2007-08-15

Most studies on factors determining diversity are conducted in temperate or warm regions, whereas studies in climatically harsh and low productivity areas, such as alpine regions, are rare. We examined the relative roles of seed availability and different biotic and abiotic factors for the diversity of an alpine plant community in southern Norway. Furthermore, because climate warming is predicted to be an important driver of alpine species diversity, we assessed how the relative impacts of dispersal and local interactions on diversity might change under experimental warming (open top chambers, OTCs). Addition of seeds from 27 regional species increased community diversity. The establishment of the species was negatively related both to the diversity of the existing system and the cover of the abundant dwarf shrub Dryas octopetala. These results show that both species dispersal limitation and local biotic interactions are important factors for alpine plant community diversity. Despite relatively harsh environmental conditions and low productivity, competition from the resident vegetation appeared to have a greater role for species establishment and diversity than facilitation and experimental warming. Higher temperature appeared to increase the negative relationship between resident species diversity and species establishment. This may suggest that climate warming can increase the role of interspecific competition for alpine plant community structure, and thus alter the long-term effects of biotic interactions on diversity. (au)

A high-resolution, empirical approach to climate impact assessment for regulatory analysis

Science.gov (United States)

Delgado, M.; Simcock, J. G.; Greenstone, M.; Hsiang, S. M.; Kopp, R. E.; Carleton, T.; Hultgren, A.; Jina, A.; Rising, J. A.; Nath, I.; Yuan, J.; Rode, A.; Chong, T.; Dobbels, G.; Hussain, A.; Wang, J.; Song, Y.; Mohan, S.; Larsen, K.; Houser, T.

2017-12-01

Recent breakthroughs in computing, data availability, and methodology have precipitated significant advances in the understanding of the relationship between climate and socioeconomic outcomes [1]. And while the use of estimates of the global marginal costs of greenhouse gas emissions (e.g. the SCC) are a mandatory component of regulatory policy in many jurisdictions, existing SCC-IAMs have lagged advances in impact assessment and valuation [2]. Recent work shows that incorporating high spatial and temporal resolution can significantly affect the observed relationships of economic outcomes to climate and socioeconomic factors [3] and that maintaining this granularity is critical to understanding the sensitivity of aggregate measures of valuation to inequality and risk adjustment methodologies [4]. We propose a novel framework that decomposes uncertainty in the SCC along multiple sources, including aggregate climate response parameters, the translation of global climate into local weather, the effect of weather on physical and economic systems, human and macro-economic responses, and impact valuation methodologies. This work extends Hsiang et al. (2017) [4] to directly estimate local response functions for multiple sectors in each of 24,378 global regions and to estimate impacts at this resolution daily, incorporating endogenous, empirically-estimated adaptation and costs. The goal of this work is to provide insight into the heterogeneity of climate impacts and to work with other modeling teams to enhance the empirical grounding of integrated climate impact assessment in more complex energy-environment-economics models. [1] T. Carleton and S. Hsiang (2016), DOI: 10.1126/science.aad9837. [2] National Academies of Sciences, Engineering, and Medicine (2017), DOI: 10.17226/24651. [3] Burke, M., S. Hsiang, and E. Miguel (2015), DOI: 10.1038/nature15725. [4] S. Hsiang et al. (2017), DOI: 10.1126/science.aal4369.

Renewable Energy, Climate Action and Resilient Societies: Accelerating the Global and Local Paradigm Shift

International Nuclear Information System (INIS)

Spencer, Thomas; Levai, David; Wang, Xin

2017-07-01

This report has been commissioned by a group of foundations in G20 countries, which have come together under the F20 platform in order to engage with the issue of climate change and sustainability in the context of the G20. The report analyzes the emerging energy transition towards efficient and renewable energy systems at global level and in specific G20 countries. On the basis of this analysis, and of the country specific case-studies that have also been conducted in the report, it provides recommendations for foundations and the G20 aimed at enhancing climate change mitigation and sustainability. Key Messages: 1. The global transition to renewable energy systems is underway and accelerating, driven by a combination of policy interventions, very rapid innovation, particularly the fall in renewable electricity costs, and changing societal priorities in many areas, such as the importance being placed on clean air, green industrial development, and investments in local communities. 2. This transition creates tremendous opportunities for countries and companies to ramp-up a new kind of job creation and economic development based on renewable, efficient energy systems. At the same time, countries and actors, who do not anticipate the shift, could be left behind and lose out economically. The good news is that the necessary tools are there. The main question is whether the social and political will for change can be developed and harnessed at the speed and scope required. 3. An economic shift on the scale and speed required to mitigate climate change cannot be achieved solely from the 'top-down'; it can only be implemented with the buy-in and participation of civil society. Worrying trends of inequality, economic disruption, and the fragmentation and fractiousness of public discourse make obtaining this social buy-in all the more difficult. Civil society must thus be seen as an essential partner of policies to drive a new paradigm of sustainable economic development

The effect of climate change on urban drainage

DEFF Research Database (Denmark)

Grum, M.; Jørgensen, A.T.; Johansen, R.M.

2006-01-01

and consequences of climate change on urban drainage and urban runoff pollution issues. This study uses predictions from a regional climate model to look at the effects of climate change on extreme precipitation events. Results are presented in terms of point rainfall extremes. The analysis involves three steps......That we are in a period of extraordinary rates of climate change is today evident. These climate changes are likely to impact local weather conditions with direct impacts on precipitation patterns and urban drainage. In recent years several studies have focused on revealing the nature, extent...... to urban drainage. However, in spite of these uncertainties, and others raised in the discussion, the tendency is clear: extreme precipitation events effecting urban drainage and causing flooding will become more frequent as a result of climate change....

Climate variability and causes: from the perspective of the Tharaka people of eastern Kenya

Science.gov (United States)

Recha, Charles W.; Makokha, George L.; Shisanya, Chris A.

2017-12-01

The study assessed community understanding of climate variability in semi-arid Tharaka sub-county, Kenya. The study used four focus group discussions (FGD) ( N = 48) and a household survey ( N = 326) to obtain information from four agro-ecological zones (AEZs). The results were synthesized and descriptively presented. People in Tharaka sub-county are familiar with the term climate change and associate it with environmental degradation. There are, however, misconceptions and gaps in understanding the causes of climate change. There was a mismatch between community and individual perception of onset and cessation of rainfall—evidence that analysis of the impact of climate change should take into account the scale of interaction. To improve climate change knowledge, there is a need for climate change education by scientific institutions—to provide information on local climatic conditions and global and regional drivers of climate change to local communities.

Adaptation to Climatic Hazards in the Savannah Ecosystem: Improving Adaptation Policy and Action

Science.gov (United States)

Yiran, Gerald A. B.; Stringer, Lindsay C.

2017-10-01

People in Ghana's savannah ecosystem have historically experienced a range of climatic hazards that have affected their livelihoods. In view of current climate variability and change, and projected increases in extreme events, adaptation to climate risks is vital. Policies have been put in place to enhance adaptation across sub-Saharan Africa in accordance with international agreements. At the same time, local people, through experience, have learned to adapt. This paper examines current policy actions and their implementation alongside an assessment of barriers to local adaptation. In doing so it links adaptation policy and practice. Policy documents were analysed that covered key livelihood sectors, which were identified as climate sensitive. These included agriculture, water, housing and health policies, as well as the National Climate Change Policy. In-depth interviews and focus group discussions were also held with key stakeholders in the Upper East Region of Ghana. Analyses were carried using thematic content analysis. Although policies and actions complement each other, their integration is weak. Financial, institutional, social, and technological barriers hinder successful local implementation of some policy actions, while lack of local involvement in policy formulation also hinders adaptation practice. Integration of local perspectives into policy needs to be strengthened in order to enhance adaptation. Coupled with this is a need to consider adaptation to climate change in development policies and to pursue efforts to reduce or remove the key barriers to implementation at the local level.

Water impacts and water-climate goal conflicts of local energy choices – notes from a Swedish perspective

Directory of Open Access Journals (Sweden)

R. E. Engström

2018-02-01

Full Text Available To meet both the Paris Agreement on Climate Change and the UN Sustainable Development Goals (SDGs, nations, sectors, counties and cities need to move towards a sustainable energy system in the next couple of decades. Such energy system transformations will impact water resources to varying extents, depending on the transformation strategy and fuel choices. Sweden is considered to be one of the most advanced countries towards meeting the SDGs. This paper explores the geographical origin of and the current water use associated with the supply of energy in the 21 regional counties of Sweden. These energy-related uses of water represent indirect, but still relevant, impacts for water management and the related SDG on clean water and sanitation (SDG 6. These indirect water impacts are here quantified and compared to reported quantifications of direct local water use, as well as to reported greenhouse gas (GHG emissions, as one example of other types of environmental impacts of local energy choices in each county. For each county, an accounting model is set up based on data for the local energy use in year 2010, and the specific geographical origins and water use associated with these locally used energy carriers (fuels, heat and electricity are further estimated and mapped based on data reported in the literature and open databases. Results show that most of the water use associated with the local Swedish energy use occurs outside of Sweden. Counties with large shares of liquid biofuel exhibit the largest associated indirect water use in regions outside of Sweden. This indirect water use for energy supply does not unambiguously correlate with either the local direct water use or the local GHG emissions, although for the latter, there is a tendency towards an inverse relation. Overall, the results imply that actions for mitigation of climate change by local energy choices may significantly affect water resources elsewhere. Swedish counties are thus

Climate Matters: Increasing Climate Literacy Through Broadcast Meteorologists

Science.gov (United States)

Sanford, T. J.; Placky, B. W.

2015-12-01

Broadcast meteorologists are among the most trusted members of the media landscape and they have a unique opportunity to reach the broad public with information about climate change. A recent survey by Maibach, et al. (2015) has shown that more than 90% of TV weathercasters think that their audience is at least somewhat interested in learning about the local impacts of climate change and 7 in 10 think that it is appropriate for them to report the science of climate change to their audience. But about half of these TV weathercasters have experienced obstacles to reporting climate change - citing lack of time to research and produce material, in addition to lack of access to appropriate visuals/graphics and access to trusted scientific information. Climate Matters is an NSF funded program that partners with broadcast meteorologists to deliver scientifically sound climate change information to the public that is local and relevant. A team of climate scientists, meteorologists, data analysts, journalists, and multimedia artists analyze and prepare content on a weekly basis so that it may be readily included in a broadcast weather segment, online or during community outreach. The program started as a pilot project with just one meteorologist in 2010 before Climate Central launched a full-time, nationwide program in 2012. Since then, Climate Matters has grown to include over 250 meteorologists strong and in more than 100 markets across the country, including Spanish language TV stations.

The Climate Data Analysis Tools (CDAT): Scientific Discovery Made Easy

Science.gov (United States)

Doutriaux, C. M.; Williams, D. N.; Drach, R. S.; McCoy, R. B.; Mlaker, V.

2008-12-01

In recent years, amount of data available to climate scientists has grown exponentially. Whether we're looking at the increasing number of organizations providing data, the finer resolutions of climate models, or the escalating number of experiments and realizations for those experiments, every aspect of climate research leads to an unprecedented growth of the volume of data to analyze. The recent success and visibility of the Intergovernmental Panel on Climate Change Annual Report 4 (IPCC AR4) is boosting the demand to unprecedented levels and keeping the numbers increasing. Meanwhile, technology available for scientists to analyze the data has remained largely unchanged since the early days. One tool, however, has proven itself flexible enough not only to follow the trend of escalating demand, but also to be ahead of the game: the Climate Data Analysis Tools (CDAT) from the Program for Climate Model Diagnosis and Comparison (PCMDI). While providing the cutting edge technology necessary to distribute the IPCC AR4 data via the Earth System Grid, PCMDI has continuously evolved CDAT to handle new grids and higher definitions, and provide new diagnostics. In the near future, in time for AR5, PCMDI will use CDAT for state-of-the-art remote data analysis in a grid computing environment.

A quantitative analysis of the causes of the global climate change research distribution

DEFF Research Database (Denmark)

Pasgaard, Maya; Strange, Niels

2013-01-01

investigates whether the need for knowledge on climate changes in the most vulnerable regions of the world is met by the supply of knowledge measured by scientific research publications from the last decade. A quantitative analysis of more than 15,000 scientific publications from 197 countries investigates...... the poorer, fragile and more vulnerable regions of the world. A quantitative keywords analysis of all publications shows that different knowledge domains and research themes dominate across regions, reflecting the divergent global concerns in relation to climate change. In general, research on climate change...... the distribution of climate change research and the potential causes of this distribution. More than 13 explanatory variables representing vulnerability, geographical, demographical, economical and institutional indicators are included in the analysis. The results show that the supply of climate change knowledge...

Building Climate Literacy Through Strategic Partnerships

Science.gov (United States)

Turrin, M.; Creyts, T. T.; Bell, R. E.; Meadows, C. A.

2012-12-01

One of the challenges of developing climate science literacy is establishing the relevance of both climate science and climate change at a local community level. By developing partnerships with community-based informal science education providers, we are able to build our climate science and climate change content into existing programs. Employing a systems science approach facilitates these partnerships as our systems science program links with a range of topics, demonstrating the multiple connections between climate, our communities and our daily lives. Merging hands on activities, collaborative projects, and new technology, we encourage learning through doing by engaging participants in active exploration of climate science concepts. Many informal education venues operating locally, from large science museums to small grass-roots community groups, provide ongoing opportunities to connect with students. Through our collaborations we have worked with various types and sizes of non-classroom science providers including: the Intrepid Sea, Air and Space Museum "Greater Opportunities Advancing Leadership and Science" camps for high school girls, Hudson River Park Trust 'Science on the River' events, the annual New York City World Science Festival, and the AAUW's annual STEM Super Scholars Workshops among others. This range of venues has enabled us to reach various ages, backgrounds and interests advancing climate literacy in a number of forums. Major outcomes of these efforts are: (1) Building capacity with community groups: Many local organizations running community programs do not have in-house science expertise. Both science educators and local organization benefit from these collaborations. Science educators and scientists provide up to date climate science information to the community groups while these programs establish strong working relationships between our research and the local community. (2) Developing climate science literacy and lifelong learning: We

Impact of highway construction on land surface energy balance and local climate derived from LANDSAT satellite data.

Science.gov (United States)

Nedbal, Václav; Brom, Jakub

2018-08-15

Extensive construction of highways has a major impact on the landscape and its structure. They can also influence local climate and heat fluxes in the surrounding area. After the removal of vegetation due to highway construction, the amount of solar radiation energy used for plant evapotranspiration (latent heat flux) decreases, bringing about an increase in landscape surface temperature, changing the local climate and increasing surface run-off. In this study, we evaluated the impact of the D8 highway construction (Central Bohemia, Czech Republic) on the distribution of solar radiation energy into the various heat fluxes (latent, sensible and ground heat flux) and related surface functional parameters (surface temperature and surface wetness). The aim was to describe the severity of the impact and the distance from the actual highway in which it can be observed. LANDSAT multispectral satellite images and field meteorological measurements were used to calculate surface functional parameters and heat balance before and during the highway construction. Construction of a four-lane highway can influence the heat balance of the landscape surface as far as 90m in the perpendicular direction from the highway axis, i.e. up to 75m perpendicular from its edge. During a summer day, the decrease in evapotranspired water can reach up to 43.7m 3 per highway kilometre. This means a reduced cooling effect, expressed as the decrease in latent heat flux, by an average of 29.7MWh per day per highway kilometre and its surroundings. The loss of the cooling ability of the land surface by evaporation can lead to a rise in surface temperature by as much as 7°C. Thus, the results indicate the impact of extensive line constructions on the local climate. Copyright © 2018 Elsevier B.V. All rights reserved.

The influence of climatic variability on local population dynamics of Cercidium microphyllum (foothill paloverde)

Science.gov (United States)

Bowers, Janice E.; Turner, R.M.

2002-01-01

This study investigated correlations among climatic variability, population age structure, and seedling survival of a dominant Sonoran Desert tree, Cercidium microphyllum (foothill paloverde), at Tucson, Arizona, USA. A major goal was to determine whether wet years promote seedling establishment and thereby determine population structure. Plant age was estimated from basal circumference for a sample of 980 living and dead trees in twelve 0.5-ha plots. Ages ranged from 1 to 181 years. Age frequency distribution showed that the population is in decline. Most (51.2%) of the 814 living trees were 40-80 years old; only 6.5% were younger than 20 years. The average age of the 166 dead trees was 78 years. Fifty-nine percent of dead trees were aged 60-100 years. Survival of newly emerged seedlings was monitored for 7 years in a 557-m2 permanent plot. Mean survival in the 1st year of life was 1.7%. Only 2 of 1,008 seedlings lived longer than 1 year. Length of survival was not correlated with rainfall. Residual regeneration, an index of the difference between predicted and observed cohort size, showed that regeneration was high during the first half of the twentieth century and poor after the mid-1950s. Trends in regeneration did not reflect interannual variation in seasonal temperature or rain before 1950, that is, in the years before urban warming. Taken together, the seedling study and the regeneration analysis suggest that local population dynamics reflect biotic factors to such an extent that population age structure might not always be a reliable clue to past climatic influences.

Climate change induced risk analysis of Dar es Salaam city (Tanzania)

Science.gov (United States)

Topa, Maria Elena; Herslund, Lise; Cavan, Gina; Printz, Andreas; Simonis, Ingo; Bucchignani, Edoardo; Jean-Baptiste, Nathalie; Hellevik, Siri; Johns, Regina; Kibassa, Deusdedit; Kweka, Clara; Magina, Fredrick; Mangula, Alpha; Mbuya, Elinorata; Uhinga, Guido; Kassenga, Gabriel; Kyessi, Alphonce; Shemdoe, Riziki; Kombe, Wilbard

2013-04-01

started to produce research outputs suitable for use in evidence-based planning activities in the case study cities through interdisciplinary methods and analysis. Climate change projections at 8 km resolution are ready for regions containing each of the case study cities; a preliminary hazard assessment for floods, droughts and heat waves has been performed, based on historical data; urban morphology and related green structures have been characterized; preliminary findings in social vulnerability provide insights how communities and households can resist and cope with, as well as recover from climate induced hazards; vulnerability of informal settlements to floods has been assessed for a case study area (Suna sub ward) and a GIS based identification of urban residential hotspots to flooding is completed. Furthermore, a set of indicators has been identified and the most relevant for Dar es Salaam has been selected by local stakeholders to identify particular vulnerable high risk areas and communities. An investigation of the existing urban planning and governance system and its interface with climate risks and vulnerability has inter-alia suggested severe institutional deficits including over-centralized institutions for disaster risk management and climate change adaptation. A multi-risk framework considering climate-related hazards, and physical and social fragilities has been set up.

Climate technology transfer at the local, national and global levels: analyzing the relationships between multi-level structures

NARCIS (Netherlands)

Tessema Abissa, Fisseha; Tessema Abissa, Fisseha

2014-01-01

This thesis examines the relationships between multi-leveled decision structures for climate technology transfer through an analysis of top-down macro-policy and bottom-up micro-implementation. It examines how international climate technology transfer policy under the UNFCCC filters down to the

Climate Forecast System

Science.gov (United States)

Weather Service NWS logo - Click to go to the NWS home page Climate Forecast System Home News Organization Web portal to all Federal, state and local government Web resources and services. The NCEP Climate when using the CFS Reanalysis (CFSR) data. Saha, Suranjana, and Coauthors, 2010: The NCEP Climate

A new methodology for building local climate change scenarios : A case study of monthly temperature projections for Mexico City

NARCIS (Netherlands)

Estrada, Francisco; Guerrero, VíCtor M.

2014-01-01

This paper proposes a new methodology for generating climate change scenarios at the local scale based on multivariate time series models and restricted forecasting techniques. This methodology offers considerable advantages over the current statistical downscaling techniques such as: (i) it

Ensuring sustainable development within a changing climate

Energy Technology Data Exchange (ETDEWEB)

Meltofte Traerup, S L [Technical Univ. of Denmark, Risoe National Lab. for Sustainable Energy, Systems Analysis Div., Roskilde (Denmark)

2010-09-15

The research in this thesis focuses on the impacts of and adaptation to present variations in climate and to projected future changes. The research has dealt with different levels, i.e. household/community, national/policymaking, and sectoral level, to show different perspectives of the implications of climate variability and change to development. In particular, it focuses on how present variations in rainfall patterns affect rural households, ways to strengthen households' resilience to climate variability, and the costs and benefits of adaptation measures. The research attempts to contribute to the knowledge that informs the development community and national governments for policy-making on the implications of climate change on development planning and strategies. It is argued in the thesis that it is essential for sustainable development to mainstream climate change into strategies and planning where relevant. To do this a knowledge of the costs and benefits of diverse adaptation measures is essential. Fluctuations in annual and seasonal rainfall, both in terms of modest and excessive rains, are found to cause negative shocks to rural household incomes in the Kagera a region of Tanzania. An analysis of rainfall and household data for the region shows large local discrepancies in the distribution of rainfall, as well as in households reporting shocks to income caused by harvest failure. It is also evident from the research results that the timing of rainfall seems to play a greater role than the level of annual precipitation. The coping strategies that households report following subsequent to a harvest failure further show local divergence in the choice of, for example, taking casual employment and relying on support from others in the form of informal networks. These results support earlier work which points in the same direction and emphasizes that policies should be targeted to local specificities. This provides a great motivation for targeted responses to

Ensuring sustainable development within a changing climate

Energy Technology Data Exchange (ETDEWEB)

Meltofte Traerup, S.L. (Technical Univ. of Denmark, Risoe National Lab. for Sustainable Energy, Systems Analysis Div., Roskilde (Denmark))

2010-09-15

The research in this thesis focuses on the impacts of and adaptation to present variations in climate and to projected future changes. The research has dealt with different levels, i.e. household/community, national/policymaking, and sectoral level, to show different perspectives of the implications of climate variability and change to development. In particular, it focuses on how present variations in rainfall patterns affect rural households, ways to strengthen households' resilience to climate variability, and the costs and benefits of adaptation measures. The research attempts to contribute to the knowledge that informs the development community and national governments for policy-making on the implications of climate change on development planning and strategies. It is argued in the thesis that it is essential for sustainable development to mainstream climate change into strategies and planning where relevant. To do this a knowledge of the costs and benefits of diverse adaptation measures is essential. Fluctuations in annual and seasonal rainfall, both in terms of modest and excessive rains, are found to cause negative shocks to rural household incomes in the Kagera a region of Tanzania. An analysis of rainfall and household data for the region shows large local discrepancies in the distribution of rainfall, as well as in households reporting shocks to income caused by harvest failure. It is also evident from the research results that the timing of rainfall seems to play a greater role than the level of annual precipitation. The coping strategies that households report following subsequent to a harvest failure further show local divergence in the choice of, for example, taking casual employment and relying on support from others in the form of informal networks. These results support earlier work which points in the same direction and emphasizes that policies should be targeted to local specificities. This provides a great motivation for targeted

Regeneration potential of Taxodium distichum swamps and climate change

Science.gov (United States)

Middleton, B.A.

2009-01-01

Seed bank densities respond to factors across local to landscape scales, and therefore, knowledge of these responses may be necessary in forecasting the effects of climate change on the regeneration of species. This study relates the seed bank densities of species of Taxodium distichum swamps to local water regime and regional climate factors at five latitudes across the Mississippi River Alluvial Valley from southern Illinois to Louisiana. In an outdoor nursery setting, the seed banks of twenty-five swamps were exposed to non-flooded (freely drained) or flooded treatments, and the number and species of seeds germinating were recorded from each swamp during one growing season. Based on ANOVA analysis, the majority of dominant species had a higher rate of germination in non-flooded versus flooded treatments. Similarly, an NMS comparison, which considered the local water regime and regional climate of the swamps, found that the species of seeds germinating, almost completely shifted under non-flooded versus flooded treatments. For example, in wetter northern swamps, seeds of Taxodium distichum germinated in non-flooded conditions, but did not germinate from the same seed banks in flooded conditions. In wetter southern swamps, seeds of Eleocharis cellulosa germinated in flooded conditions, but did not germinate in non-flooded conditions. The strong relationship of seed germination and density relationships with local water regime and regional climate variables suggests that the forecasting of climate change effects on swamps and other wetlands needs to consider a variety of interrelated variables to make adequate projections of the regeneration responses of species to climate change. Because regeneration is an important aspect of species maintenance and restoration, climate drying could influence the species distribution of these swamps in the future. ?? 2008 Springer Science+Business Media B.V.

Life on thin ice: Insights from Uummannaq, Greenland for connecting climate science with Arctic communities

Science.gov (United States)

Baztan, Juan; Cordier, Mateo; Huctin, Jean-Michel; Zhu, Zhiwei; Vanderlinden, Jean-Paul

2017-09-01

What are the links between mainstream climate science and local community knowledge? This study takes the example of Greenland, considered one of the regions most impacted by climate change, and Inuit people, characterized as being highly adaptive to environmental change, to explore this question. The study is based on 10 years of anthropological participatory research in Uummannaq, Northwest Greenland, along with two fieldwork periods in October 2014 and April 2015, and a quantitative bibliometric analysis of the international literature on sea ice - a central subject of concern identified by Uummannaq community members during the fieldwork periods. Community members' perceptions of currently available scientific climate knowledge were also collected during the fieldwork. This was done to determine if community members consider available scientific knowledge salient and if it covers issues they consider relevant. The bibliometric analysis of the sea ice literature provided additional insight into the degree to which scientific knowledge about climate change provides information relevant for the community. Our results contribute to the ongoing debate on the missing connections between community worldviews, cultural values, livelihood needs, interests and climate science. Our results show that more scientific research efforts should consider local-level needs in order to produce local-scale knowledge that is more salient, credible and legitimate for communities experiencing climate change. In Uummannaq, as in many Inuit communities with similar conditions, more research should be done on sea ice thickness in winter and in areas through which local populations travel. This paper supports the growing evidence that whenever possible, climate change research should focus on environmental features that matter to communities, at temporal and spatial scales relevant to them, in order to foster community adaptations to change. We recommend such research be connected to and

Holistic uncertainty analysis in river basin modeling for climate vulnerability assessment

Science.gov (United States)

Taner, M. U.; Wi, S.; Brown, C.

2017-12-01

The challenges posed by uncertain future climate are a prominent concern for water resources managers. A number of frameworks exist for assessing the impacts of climate-related uncertainty, including internal climate variability and anthropogenic climate change, such as scenario-based approaches and vulnerability-based approaches. While in many cases climate uncertainty may be dominant, other factors such as future evolution of the river basin, hydrologic response and reservoir operations are potentially significant sources of uncertainty. While uncertainty associated with modeling hydrologic response has received attention, very little attention has focused on the range of uncertainty and possible effects of the water resources infrastructure and management. This work presents a holistic framework that allows analysis of climate, hydrologic and water management uncertainty in water resources systems analysis with the aid of a water system model designed to integrate component models for hydrology processes and water management activities. The uncertainties explored include those associated with climate variability and change, hydrologic model parameters, and water system operation rules. A Bayesian framework is used to quantify and model the uncertainties at each modeling steps in integrated fashion, including prior and the likelihood information about model parameters. The framework is demonstrated in a case study for the St. Croix Basin located at border of United States and Canada.

Interaction between Cities and Climate Change: Modelling Urban Morphology and Local Urban Planning Scenarios from Open Datasets across European Cities

Science.gov (United States)

Thomas, Bart; Stevens, Catherine; Grommen, Mart

2015-04-01

Cities are characterised by a large spatiotemporal diversity of local climates induced by a superposition of various factors and processes interacting at global and regional scales but also at the micro level such as the urban heat island effect. As urban areas are known as 'hot spots' prone to climate and its variability over time leading to changes in the severity and occurrence of extreme events such as heat waves, it is of crucial importance to capture the spatial heterogeneity resulting from variations in land use land cover (LULC) and urban morphology in an effective way to drive local urban climate simulations. The first part of the study conducted in the framework of the NACLIM FP7 project funded by the European Commission focusses on the extraction of land surface parameters linked to urban morphology characteristics from detailed 3D city models and their relationship with openly accessible European datasets such as the degree of soil sealing and disaggregated population densities from the European Environment Agency (EEA) and the Joint Research Centre (JRC). While it has been demonstrated that good correlations can be found between those datasets and the planar and frontal area indices, the present work has expanded the research to other urban morphology parameters including the average and variation of the building height and the sky view factor. Correlations up to 80% have been achieved depending on the considered parameter and the specific urban area including the cities of Antwerp (Belgium), Berlin (Germany) and Almada (Portugal) represented by different climate and urban characteristics. Moreover, the transferability of the established relations has been investigated across the various cities. Secondly, a flexible and scalable approach as a function of the required the level of detail has been elaborated to update the various morphology parameters in case of integration with urban planning data to analyse the local impact of future land use scenarios

Socioeconomic Drought in a Changing Climate: Modeling and Management

Science.gov (United States)

AghaKouchak, Amir; Mehran, Ali; Mazdiyasni, Omid

2016-04-01

Drought is typically defined based on meteorological, hydrological and land surface conditions. However, in many parts of the world, anthropogenic changes and water management practices have significantly altered local water availability. Socioeconomic drought refers to conditions whereby the available water supply cannot satisfy the human and environmental water needs. Surface water reservoirs provide resilience against local climate variability (e.g., droughts), and play a major role in regional water management. This presentation focuses on a framework for describing socioeconomic drought based on both water supply and demand information. We present a multivariate approach as a measure of socioeconomic drought, termed Multivariate Standardized Reliability and Resilience Index (MSRRI; Mehran et al., 2015). This model links the information on inflow and surface reservoir storage to water demand. MSRRI integrates a "top-down" and a "bottom-up" approach for describing socioeconomic drought. The "top-down" component describes processes that cannot be simply controlled or altered by local decision-makers and managers (e.g., precipitation, climate variability, climate change), whereas the "bottom-up" component focuses on the local resilience, and societal capacity to respond to droughts. The two components (termed, Inflow-Demand Reliability (IDR) indicator and Water Storage Resilience (WSR) indicator) are integrated using a nonparametric multivariate approach. We use this framework to assess the socioeconomic drought during the Australian Millennium Drought (1998-2010) and the 2011-2014 California Droughts. MSRRI provides additional information on socioeconomic drought onset, development and termination based on local resilience and human demand that cannot be obtained from the commonly used drought indicators. We show that MSRRI can be used for water management scenario analysis (e.g., local water availability based on different human water demands scenarios). Finally

Assessing floods and droughts in the Mékrou River basin (West Africa): a combined household survey and climatic trends analysis approach

Science.gov (United States)

Markantonis, Vasileios; Farinosi, Fabio; Dondeynaz, Celine; Ameztoy, Iban; Pastori, Marco; Marletta, Luca; Ali, Abdou; Carmona Moreno, Cesar

2018-05-01

The assessment of natural hazards such as floods and droughts is a complex issue that demands integrated approaches and high-quality data. Especially in African developing countries, where information is limited, the assessment of floods and droughts, though an overarching issue that influences economic and social development, is even more challenging. This paper presents an integrated approach to assessing crucial aspects of floods and droughts in the transboundary Mékrou River basin (a portion of the Niger River basin in West Africa), combining climatic trends analysis and the findings of a household survey. The multivariable trend analysis estimates, at the biophysical level, the climate variability and the occurrence of floods and droughts. These results are coupled with an analysis of household survey data that reveals the behaviour and opinions of local residents regarding the observed climate variability and occurrence of flood and drought events, household mitigation measures, and the impacts of floods and droughts. Based on survey data analysis, the paper provides a per-household cost estimation of floods and droughts that occurred over a 2-year period (2014-2015). Furthermore, two econometric models are set up to identify the factors that influence the costs of floods and droughts to impacted households.

Communicating Coastal Risk Analysis in an Age of Climate Change

Science.gov (United States)

2011-10-01

extratropical storm systems); the geometry and geomorphology of the area (regional and local bathymetry and topography, including rivers, marshes, and...at risk from coastal hazards including storm surge inundation, precipitation driven flooding, waves, and coastal erosion. This population segment...will likely be exposed to increased risk as impacts of a changing climate are felt through elevated sea levels and potentially increased storm

Heterogeneous Beliefs and Climate Catastrophes

NARCIS (Netherlands)

Kiseleva, T.

2016-01-01

We study how heterogeneous beliefs about the causes and extent of global warming affect local mitigation and adaptation strategies and therefore global climate dynamics. Local policies are determined by expectations of policy makers about future climate. There are three types of expectations: strong

Analysis of Nigerian insurers’ perceptions of climate change

Directory of Open Access Journals (Sweden)

Zelda Anne Elum

2016-11-01

Full Text Available In recent times, global agricultural productivity has been increasingly affected by climate change. It is believed that societal adoption of insurance as an adaptive response to climate change can have significant implications for insurers. The study investigates empirically insurers’ perceptions of climate change and the challenges they face in Nigeria. It examines the proposition that insurance firms in Nigeria are not mindful of the impact of climate change. The study applied the use of descriptive statistics, Kendall’s coefficient of concordance and principal component analysis on collected primary data. It was found that insurers in Nigeria were highly aware of climate change and its impact but did not believe it affects their operational costs and payments of claims. Although there is great scope for insurers to increase their client base in the Nigerian market, insurers face challenges of insurance rate-cutting, low patronage and environmental factors. The study concludes that there is a need for insurance regulators to enforce a level playing field for all firms. It also advocates for public support of private insurers to enhance insurance coverage for agriculture, the largest employer of labour in the country.

Low-cost multi-vehicle air temperature measurements for heat load assessment in local-scale climate applications

Science.gov (United States)

Zuvela-Aloise, Maja; Weyss, Gernot; Aloise, Giulliano; Mifka, Boris; Löffelmann, Philemon; Hollosi, Brigitta; Nemec, Johana; Vucetic, Visnja

2014-05-01

In the recent years there has been a strong interest in exploring the potential of low-cost measurement devices as alternative source of meteorological monitoring data, especially in the urban areas where high-density observations become crucial for appropriate heat load assessment. One of the simple, but efficient approaches for gathering large amount of spatial data is through mobile measurement campaigns in which the sensors are attached to driving vehicles. However, non-standardized data collecting procedure, instrument quality, their response-time and design, variable device ventilation and radiation protection influence the reliability of the gathered data. We investigate what accuracy can be expected from the data collected through low-cost mobile measurements and whether the achieved quality of the data is sufficient for validation of the state-of-the-art local-scale climate models. We tested 5 types of temperature sensors and data loggers: Maxim iButton, Lascar EL-USB-2-LCD+ and Onset HOBO UX100-003 as market available devices and self-designed solar powered Arduino-based data loggers combined with the AOSONG AM2315 and Sensirion SHT21 temperature and humidity sensors. The devices were calibrated and tested in stationary mode at the Austrian Weather Service showing accuracy between 0.1°C and 0.8°C, which was mostly within the device specification range. In mobile mode, the best response-time was found for self-designed device with Arduino-based data logger and Sensirion SHT21 sensor. However, the device lacks the mechanical robustness and should be further improved for broad-range applications. We organized 4 measurement tours: two taking place in urban environment (Vienna, Austria in July 2011 and July 2013) and two in countryside with complex terrain of Mid-Adriatic islands (Hvar and Korcula, Croatia in August 2013). Measurements were taken on clear-sky, dry and hot days. We combined multiple devices attached to bicycle and cars with different

Parallel analysis tools and new visualization techniques for ultra-large climate data set

Energy Technology Data Exchange (ETDEWEB)

Middleton, Don [National Center for Atmospheric Research, Boulder, CO (United States); Haley, Mary [National Center for Atmospheric Research, Boulder, CO (United States)

2014-12-10

ParVis was a project funded under LAB 10-05: “Earth System Modeling: Advanced Scientific Visualization of Ultra-Large Climate Data Sets”. Argonne was the lead lab with partners at PNNL, SNL, NCAR and UC-Davis. This report covers progress from January 1st, 2013 through Dec 1st, 2014. Two previous reports covered the period from Summer, 2010, through September 2011 and October 2011 through December 2012, respectively. While the project was originally planned to end on April 30, 2013, personnel and priority changes allowed many of the institutions to continue work through FY14 using existing funds. A primary focus of ParVis was introducing parallelism to climate model analysis to greatly reduce the time-to-visualization for ultra-large climate data sets. Work in the first two years was conducted on two tracks with different time horizons: one track to provide immediate help to climate scientists already struggling to apply their analysis to existing large data sets and another focused on building a new data-parallel library and tool for climate analysis and visualization that will give the field a platform for performing analysis and visualization on ultra-large datasets for the foreseeable future. In the final 2 years of the project, we focused mostly on the new data-parallel library and associated tools for climate analysis and visualization.

Modelled spatiotemporal variability of outdoor thermal comfort in local climate zones of the city of Brno, Czech Republic

Czech Academy of Sciences Publication Activity Database

Geletič, Jan; Lehnert, M.; Savić, S.; Milošević, D.

2018-01-01

Roč. 624, 15 May (2018), s. 385-395 ISSN 0048-9697 R&D Projects: GA MŠk(CZ) LO1415 Institutional support: RVO:67985807 Keywords : HUMIDEX * MUKLIMO_3 * air temperature * relative humidity * local climate zones * heat wave Subject RIV: DG - Athmosphere Sciences, Meteorology Impact factor: 4.900, year: 2016

Multi-Scale Entropy Analysis as a Method for Time-Series Analysis of Climate Data

Directory of Open Access Journals (Sweden)

Heiko Balzter

2015-03-01

Full Text Available Evidence is mounting that the temporal dynamics of the climate system are changing at the same time as the average global temperature is increasing due to multiple climate forcings. A large number of extreme weather events such as prolonged cold spells, heatwaves, droughts and floods have been recorded around the world in the past 10 years. Such changes in the temporal scaling behaviour of climate time-series data can be difficult to detect. While there are easy and direct ways of analysing climate data by calculating the means and variances for different levels of temporal aggregation, these methods can miss more subtle changes in their dynamics. This paper describes multi-scale entropy (MSE analysis as a tool to study climate time-series data and to identify temporal scales of variability and their change over time in climate time-series. MSE estimates the sample entropy of the time-series after coarse-graining at different temporal scales. An application of MSE to Central European, variance-adjusted, mean monthly air temperature anomalies (CRUTEM4v is provided. The results show that the temporal scales of the current climate (1960–2014 are different from the long-term average (1850–1960. For temporal scale factors longer than 12 months, the sample entropy increased markedly compared to the long-term record. Such an increase can be explained by systems theory with greater complexity in the regional temperature data. From 1961 the patterns of monthly air temperatures are less regular at time-scales greater than 12 months than in the earlier time period. This finding suggests that, at these inter-annual time scales, the temperature variability has become less predictable than in the past. It is possible that climate system feedbacks are expressed in altered temporal scales of the European temperature time-series data. A comparison with the variance and Shannon entropy shows that MSE analysis can provide additional information on the

Youth Climate Summits: Empowering & Engaging Youth to Lead on Climate Change

Science.gov (United States)

Kretser, J.

2017-12-01

The Wild Center's Youth Climate Summits is a program that engages youth in climate literacy from knowledge and understanding to developing action in their schools and communities. Each Youth Climate Summit is a one to three day event that brings students and teachers together to learn about climate change science, impacts and solutions at a global and local level. Through speakers, workshops and activities, the Summit culminates in a student-driven Climate Action Plan that can be brought back to schools and communities. The summits have been found to be powerful vehicles for inspiration, learning, community engagement and youth leadership development. Climate literacy with a focus on local climate impacts and solutions is a key component of the Youth Climate Summit. The project-based learning surrounding the creation of a unique, student driven, sustainability and Climate Action Plan promotes leadership skills applicable and the tools necessary for a 21st Century workforce. Student driven projects range from school gardens and school energy audits to working with NYS officials to commit to going 100% renewable electricty at the three state-owned downhill ski facilities. The summit model has been scaled and replicated in other communities in New York State, Vermont, Ohio, Michigan and Washington states as well as internationally in Finland, Germany and Sri Lanka.

Global climate change - a feasibility perspective of its effect on human health at a local scale

Directory of Open Access Journals (Sweden)

Michele Bernardi

2008-05-01

Full Text Available There are two responses to global climate change. First, mitigation, which actions to reduce greenhouse gas emissions and sequester or store carbon in the short-term, and make development choices that will lead to low emissions in the long-term. Second, adaptation, which involves adjustments in natural or human systems and behaviours that reduce the risks posed by climate change to people’s lives and livelihoods. While the two are conceptually distinct, in practice they are very much interdependent, and both are equally urgent from a healthy population perspective. To define the policies to mitigate and to adapt to global climate change, data and information at all scales are the basic requirement for both developed and developing countries. However, as compared to mitigation, adaptation is an immediate concern for low-income countries and for small islands states, where the reduction of the emissions from greenhouse gases is not among their priorities. Adaptation is also highly location specific and the required ground data to assess the impacts of climate change on human health are not available. Climate data at high spatial resolution can be derived by various downscaling methods using historical and real-time meteorological observations but, particularly in low-income countries, the outputs are limited by the lack of ground data at the local level. In many of these countries, a negative trend in the number of meteorological stations as compared as to before 2000 is evident, while remotelysensed imagery becomes more and more available at high spatial and temporal resolution. The final consequence is that climate change policy options in the developing world are greatly jeopardized.

The Portuguese Climate Portal

Science.gov (United States)

Gomes, Sandra; Deus, Ricardo; Nogueira, Miguel; Viterbo, Pedro; Miranda, Miguel; Antunes, Sílvia; Silva, Alvaro; Miranda, Pedro

2016-04-01

The Portuguese Local Warming Website (http://portaldoclima.pt) has been developed in order to support the society in Portugal in preparing for the adaptation to the ongoing and future effects of climate change. The climate portal provides systematic and easy access to authoritative scientific data ready to be used by a vast and diverse user community from different public and private sectors, key players and decision makers, but also to high school students, contributing to the increase in knowledge and awareness on climate change topics. A comprehensive set of regional climate variables and indicators are computed, explained and graphically presented. Variables and indicators were built in agreement with identified needs after consultation of the relevant social partners from different sectors, including agriculture, water resources, health, environment and energy and also in direct cooperation with the Portuguese National Strategy for Climate Change Adaptation (ENAAC) group. The visual interface allows the user to dynamically interact, explore, quickly analyze and compare, but also to download and import the data and graphics. The climate variables and indicators are computed from state-of-the-art regional climate model (RCM) simulations (e.g., CORDEX project), at high space-temporal detail, allowing to push the limits of the projections down to local administrative regions (NUTS3) and monthly or seasonal periods, promoting local adaptation strategies. The portal provides both historical data (observed and modelled for the 1971-2000 period) and future climate projections for different scenarios (modelled for the 2011-2100 period). A large effort was undertaken in order to quantify the impacts of the risk of extreme events, such as heavy rain and flooding, droughts, heat and cold waves, and fires. Furthermore the different climate scenarios and the ensemble of RCM models, with high temporal (daily) and spatial (~11km) detail, is taken advantage in order to

Global/local methods for probabilistic structural analysis

Science.gov (United States)

Millwater, H. R.; Wu, Y.-T.

1993-04-01

A probabilistic global/local method is proposed to reduce the computational requirements of probabilistic structural analysis. A coarser global model is used for most of the computations with a local more refined model used only at key probabilistic conditions. The global model is used to establish the cumulative distribution function (cdf) and the Most Probable Point (MPP). The local model then uses the predicted MPP to adjust the cdf value. The global/local method is used within the advanced mean value probabilistic algorithm. The local model can be more refined with respect to the g1obal model in terms of finer mesh, smaller time step, tighter tolerances, etc. and can be used with linear or nonlinear models. The basis for this approach is described in terms of the correlation between the global and local models which can be estimated from the global and local MPPs. A numerical example is presented using the NESSUS probabilistic structural analysis program with the finite element method used for the structural modeling. The results clearly indicate a significant computer savings with minimal loss in accuracy.

Climate challenge 2012: growth and climate change - Socio-economical impacts of climate change. Conference proceedings

International Nuclear Information System (INIS)

Orange-Louboutin, Mylene; Robinet, Olivier; Delalande, Daniel; Reysset, Bertrand; De Perthuis, Christian; Le Treut, Herve; Cottenceau, Jean-Baptiste; Ayong, Alain; Daubaire, Aurelien; Gaudin, Thomas

2012-01-01

The contributions of this conference session proposed comments and discussion on the relationship between climate change and 'green' growth, on the status of scientific knowledge on climate change (from global to local), on the way to perform carbon print assessment and to decide which actions to implement, on the costs and opportunity of impacts of climate change, on the economy of adaptation, on the benefits and costs of the adaptation policy, and on impacts of climate change on employment in quantitative terms and in terms of profession types

A framework to assess the impacts of Climate Change for different hazards at local and regional scale through probabilistic multi-model approaches

Science.gov (United States)

Mercogliano, P.; Reder, A.; Rianna, G.

2017-12-01

Extreme weather events (EWEs) are projected to be more frequent and severe across the globe because of global warming. This poses challenging problems for critical infrastructures (CIs) which can be dramatically affected by EWEs needing adaptation countermeasures againts changing climate conditions. In this work, we present the main results achieved in the framework of the FP7-European project INTACT aimed at analyzing the resilience of CIs against shocks and stresses due to the climate changes. To identify variations in the hazard induced by climate change, appropriate Extreme Weather Indicators (EWIs) are defined for several case studies and different approaches are analyzed to obtain local climate projections. The different approaches, with increasing refinement depending on local information available and methodologies selected, are investigated considering raw versus bias corrected data and weighted or equiprobable ensemble mean projections given by the regional climate models within the Euro-CORDEX program. Specifically, this work focuses on two case studies selected from the five proposed within the INTACT project and for which local station data are available: • rainfall-induced landslide affecting Campania region (Southern Italy) with a special view on the Nocera municipality; • storms and heavy rainfall/winds in port of Rotterdam (Netherlands). In general, our results show a small sensitivity to the weighting approach and a large sensitivity to bias-correction in the future projections. For landslides in Campania region, the Euro-CORDEX simulations projected a generalized worsening of the safety conditions depending on the scenario (RCP4.5/8.5) and period (2011-2040/2041-2070/2071-2100) considered. For the port of Rotterdam, the Euro-CORDEX simulations projected an increment in the intense events of daily and weekly precipitation, also in this case depending on the scenario and period considered. Considering framework, methodologies and results, the

Relative roles of local disturbance, current climate and palaeoclimate in determining phylogenetic and functional diversity in Chinese forests

DEFF Research Database (Denmark)

Feng, Gang; Mi, Xiangcheng; Bøcher, Peder Klith

2014-01-01

their relative roles in determining woody plant phylogenetic and functional diversity in this important hotspot for woody plant diversity. Local disturbance was the best predictor of functional diversity as represented by maximum canopy height (Hmax), probably reflecting the dominant role of competition...... studied, their relative importance for other aspects of diversity, notably phylogenetic and functional diversity is so far little studied. Here, we link data from large Chinese forest plots to data on current and Last Glacial Maximum (LGM) climate as well as local disturbance regimes to study...

Interglacial climate dynamics and advanced time series analysis

Science.gov (United States)

Mudelsee, Manfred; Bermejo, Miguel; Köhler, Peter; Lohmann, Gerrit

2013-04-01

Studying the climate dynamics of past interglacials (IGs) helps to better assess the anthropogenically influenced dynamics of the current IG, the Holocene. We select the IG portions from the EPICA Dome C ice core archive, which covers the past 800 ka, to apply methods of statistical time series analysis (Mudelsee 2010). The analysed variables are deuterium/H (indicating temperature) (Jouzel et al. 2007), greenhouse gases (Siegenthaler et al. 2005, Loulergue et al. 2008, L¨ü thi et al. 2008) and a model-co-derived climate radiative forcing (Köhler et al. 2010). We select additionally high-resolution sea-surface-temperature records from the marine sedimentary archive. The first statistical method, persistence time estimation (Mudelsee 2002) lets us infer the 'climate memory' property of IGs. Second, linear regression informs about long-term climate trends during IGs. Third, ramp function regression (Mudelsee 2000) is adapted to look on abrupt climate changes during IGs. We compare the Holocene with previous IGs in terms of these mathematical approaches, interprete results in a climate context, assess uncertainties and the requirements to data from old IGs for yielding results of 'acceptable' accuracy. This work receives financial support from the Deutsche Forschungsgemeinschaft (Project ClimSens within the DFG Research Priority Program INTERDYNAMIK) and the European Commission (Marie Curie Initial Training Network LINC, No. 289447, within the 7th Framework Programme). References Jouzel J, Masson-Delmotte V, Cattani O, Dreyfus G, Falourd S, Hoffmann G, Minster B, Nouet J, Barnola JM, Chappellaz J, Fischer H, Gallet JC, Johnsen S, Leuenberger M, Loulergue L, Luethi D, Oerter H, Parrenin F, Raisbeck G, Raynaud D, Schilt A, Schwander J, Selmo E, Souchez R, Spahni R, Stauffer B, Steffensen JP, Stenni B, Stocker TF, Tison JL, Werner M, Wolff EW (2007) Orbital and millennial Antarctic climate variability over the past 800,000 years. Science 317:793. Köhler P, Bintanja R

El Niño, Climate, and Cholera Associations in Piura, Peru, 1991-2001: A Wavelet Analysis.

Science.gov (United States)

Ramírez, Iván J; Grady, Sue C

2016-03-01

In Peru, it was hypothesized that epidemic cholera in 1991 was linked to El Niño, the warm phase of El Niño-Southern Oscillation. While previous studies demonstrated an association in 1997-1998, using cross-sectional data, they did not assess the consistency of this relationship across the decade. Thus, how strong or variable an El Niño-cholera relationship was in Peru or whether El Niño triggered epidemic cholera early in the decade remains unknown. In this study, wavelet and mediation analyses were used to characterize temporal patterns among El Niño, local climate variables (rainfall, river discharge, and air temperature), and cholera incidence in Piura, Peru from 1991 to 2001 and to estimate the mediating effects of local climate on El Niño-cholera relationships. The study hypothesis is that El Niño-related connections with cholera in Piura were transient and interconnected via local climate pathways. Overall, our findings provide evidence that a strong El Niño-cholera link, mediated by local hydrology, existed in the latter part of the 1990s but found no evidence of an El Niño association in the earlier part of the decade, suggesting that El Niño may not have precipitated cholera emergence in Piura. Further examinations of cholera epicenters in Peru are recommended to support these results in Piura. For public health planning, the results may improve existing efforts that utilize El Niño monitoring for preparedness during future climate-related extremes in the region.

Etude Climat no. 35 'Delivering REDD+ incentives to local stakeholders: lessons from forest carbon frameworks in developed countries'

International Nuclear Information System (INIS)

Deheza, Mariana; Bellassen, Valentin

2012-01-01

Among the publications of CDC Climat Research, 'Climate Reports' offer in-depth analyses on a given subject. This issue addresses the following points: Reducing CO 2 emissions from forests was slow to get off the ground as a subject of international climate negotiations, but it has picked up considerable momentum since 2005. In particular, agreement has been reached on the urgency to set up a global REDD+ mechanism. The mechanism aims to provide developing countries with incentives to reduce emissions from deforestation and forest degradation and to increase forest carbon stocks through appropriate forestry practices or through planting. Agreement has also been reached that REDD+ incentives should be result-based and ultimately awarded at the national level. Nevertheless, local initiatives are a useful mean of tackling deforestation. However, when carbon incentives depend on national performance, linking them to local initiatives is a technical and financial challenge. Technically, the national accounting framework must be able to track emissions-reduction initiatives at the sub-national level (regional, local or project level). Financially, investors are likely to be scared away if their reward depends on deforestation occurring outside the area of their investment. Ultimately, the issue of transferring national incentives coming from supranational agreements to the local level can be reduced to a political decision on risk sharing between the State and private stakeholders. Industrialized countries have already faced this issue during the first commitment period under the Kyoto protocol and they have often found it difficult to develop satisfactory solutions. Two notable exceptions are New Zealand, which included its forest sector in its emissions trading scheme, and Australia, which is developing a 'Carbon Farming Initiative' for forestry and agricultural offsets. This study draws lessons from a comparison of the treatment of the Land Use, Land Use Change and

Terrain Analysis Procedural Guide for Climate,

Science.gov (United States)

1980-09-01

days a year at many locations. D. HUMID MICROTHERMAL CLIMATES. The humid microthermal climate occurs in the Northern Hemisphere northward from the...subarctic are the principal types of microthermal climate. 71 1. Humid Continental Climates. These climates border the marine west coast climatic regions...frequently occur during summer in prairie regions. Regions on the southern margin of microthermal climates have long, hot and humid summers lasting from

LOCAL WEATHER CLASSIFICATIONS FOR ENVIRONMENTAL APPLICATIONS

Directory of Open Access Journals (Sweden)

Katarzyna PIOTROWICZ

2013-03-01

Full Text Available Two approaches of local weather type definitions are presented and illustrated for selected stations of Poland and Hungary. The subjective classification, continuing long traditions, especially in Poland, relies on diurnal values of local weather elements. The main types are defined according to temperature with some sub-types considering relative sunshine duration, diurnal precipitation totals, relative humidity and wind speed. The classification does not make a difference between the seasons of the year, but the occurrence of the classes obviously reflects the annual cycle. Another important feature of this classification is that only a minor part of the theoretically possible combination of the various types and sub-types occurs in all stations of both countries. The objective version of the classification starts from ten possible weather element which are reduced to four according to factor analysis, based on strong correlation between the elements. This analysis yields 3 to 4 factors depending on the specific criteria of selection. The further cluster analysis uses four selected weather elements belonging to different rotated factors. They are the diurnal mean values of temperature, of relative humidity, of cloudiness and of wind speed. From the possible ways of hierarchical cluster analysis (i.e. no a priori assumption on the number of classes, the method of furthest neighbours is selected, indicating the arguments of this decision in the paper. These local weather types are important tools in understanding the role of weather in various environmental indicators, in climatic generalisation of short samples by stratified sampling and in interpretation of the climate change.

The influence of climate change on flood risks in France ­- first estimates and uncertainty analysis

OpenAIRE

Dumas , Patrice; Hallegatte , Sréphane; Quintana-Seguí , Pere; Martin , Eric

2013-01-01

International audience; Abstract. This paper proposes a methodology to project the possible evolution of river flood damages due to climate change, and applies it to mainland France. Its main contributions are (i) to demonstrate a methodology to investigate the full causal chain from global climate change to local economic flood losses; (ii) to show that future flood losses may change in a very significant manner over France; (iii) to show that a very large uncertainty arises from the climate...

MAPPING LOCAL CLIMATE ZONES WITH A VECTOR-BASED GIS METHOD

Directory of Open Access Journals (Sweden)

E. Lelovics

2013-03-01

Full Text Available In this study we determined Local Climate Zones in a South-Hungarian city, using vector-based and raster-based databases. We calculated seven of the originally proposed ten physical (geometric, surface cover and radiative properties for areas which are based on the mobile temperature measurement campaigns earlier carried out in this city.As input data we applied 3D building database (earlier created with photogrammetric methods, 2D road database, topographic map, aerial photographs, remotely sensed reflectance information from RapidEye satellite image and our local knowledge about the area. The values of the properties were calculated by GIS methods developed for this purpose.We derived for the examined areas and applied for classification sky view factor, mean building height, terrain roughness class, building surface fraction, pervious surface fraction, impervious surface fraction and albedo.Six built and one land cover LCZ classes could be detected with this method on our study area. From each class one circle area was selected, which is representative for that class. Their thermal reactions were examined with the application of mobile temperature measurement dataset. The comparison was made in cases, when the weather was clear and calm and the surface was dry. We found that compact built-in types have more temperature surplus than open ones, and midrise types also have more than lowrise ones. According to our primary results, these categories provide a useful opportunity for intra- and inter-urban comparisons.

Using Web GIS "Climate" for Adaptation to Climate Change

Science.gov (United States)

Gordova, Yulia; Martynova, Yulia; Shulgina, Tamara

2015-04-01

A work is devoted to the application of an information-computational Web GIS "Climate" developed by joint team of the Institute of Monitoring of Climatic and Ecological Systems SB RAS and Tomsk State University to raise awareness about current and future climate change as a basis for further adaptation. Web-GIS "Climate» (http://climate.scert.ru/) based on modern concepts of Web 2.0 provides opportunities to study regional climate change and its consequences by providing access to climate and weather models, a large set of geophysical data and means of processing and visualization. Also, the system is used for the joint development of software applications by distributed research teams, research based on these applications and undergraduate and graduate students training. In addition, the system capabilities allow creating information resources to raise public awareness about climate change, its causes and consequences, which is a necessary step for the subsequent adaptation to these changes. Basic information course on climate change is placed in the public domain and is aimed at local population. Basic concepts and problems of modern climate change and its possible consequences are set out and illustrated in accessible language. Particular attention is paid to regional climate changes. In addition to the information part, the course also includes a selection of links to popular science network resources on current issues in Earth Sciences and a number of practical tasks to consolidate the material. These tasks are performed for a particular territory. Within the tasks users need to analyze the prepared within the "Climate" map layers and answer questions of direct interest to the public: "How did the minimum value of winter temperatures change in your area?", "What are the dynamics of maximum summer temperatures?", etc. Carrying out the analysis of the dynamics of climate change contributes to a better understanding of climate processes and further adaptation

Using crowdsourced data from citizen weather stations to analyse air temperature in 'local climate zones' in Berlin, Germany

Science.gov (United States)

Fenner, Daniel; Meier, Fred; Bechtel, Benjamin; Otto, Marco; Scherer, Dieter

2017-04-01

Provision of observational data with high spatial coverage over extended time periods still remains as one of the biggest challenges in urban climate research. Classical meteorological networks are seldomly designed to monitor atmospheric conditions in a broad variety of urban environments, though the heterogeneity of urban structures leads to distinct thermal characteristics on local scales, i.e., hundreds of metres to several kilometres. One approach to overcome the aforementioned challenges of observation networks is to use data from weather stations that are maintained by citizens. The private company 'netatmo' (www.netatmo.com) produces and distributes such citizen weather stations (CWS) around the world. The stations automatically send their data to the netatmo server, and the user decides if data are publicly shared. Shared data can freely be retrieved via an application programming interface. We collected air temperature (T) data for the year 2015 for the city of Berlin, Germany, and surroundings with more than 1500 'netatmo' CWS in the study area. The entire data set was thoroughly quality checked, and filter techniques, involving data from a reference network, were developed to address different types of errors associated with CWS data. Additionally, the accuracy of 'netatmo' CWS was checked in a climate chamber and in a long-term field experiment. Since the terms 'urban' and 'rural' are ambiguous in urban climate studies, Stewart and Oke (2012) developed the 'local climate zone' (LCZ) concept to enhance understanding and interpretation of air temperature differences in urban regions. LCZ classification for the study region was conducted using the 'WUDAPT' approach by Bechtel et al. (2015). The quality-checked CWS data were used to analyse T characteristics of LCZ classes in Berlin and surroundings. Specifically, we analysed how LCZ classes are represented by CWS in 2015, how T varies within each LCZ class ('intra-LCZ variability'), and if significant

IDENTIFYING LOCAL SCALE CLIMATE ZONES OF URBAN HEAT ISLAND FROM HJ-1B SATELLITE DATA USING SELF-ORGANIZING MAPS

Directory of Open Access Journals (Sweden)

C. Z. Wei

2016-10-01

Full Text Available With the increasing acceleration of urbanization, the degeneration of the environment and the Urban Heat Island (UHI has attracted more and more attention. Quantitative delineation of UHI has become crucial for a better understanding of the interregional interaction between urbanization processes and the urban environment system. First of all, our study used medium resolution Chinese satellite data-HJ-1B as the Earth Observation data source to derive parameters, including the percentage of Impervious Surface Areas, Land Surface Temperature, Land Surface Albedo, Normalized Differential Vegetation Index, and object edge detector indicators (Mean of Inner Border, Mean of Outer border in the city of Guangzhou, China. Secondly, in order to establish a model to delineate the local climate zones of UHI, we used the Principal Component Analysis to explore the correlations between all these parameters, and estimate their contributions to the principal components of UHI zones. Finally, depending on the results of the PCA, we chose the most suitable parameters to classify the urban climate zones based on a Self-Organization Map (SOM. The results show that all six parameters are closely correlated with each other and have a high percentage of cumulative (95% in the first two principal components. Therefore, the SOM algorithm automatically categorized the city of Guangzhou into five classes of UHI zones using these six spectral, structural and climate parameters as inputs. UHI zones have distinguishable physical characteristics, and could potentially help to provide the basis and decision support for further sustainable urban planning.

Locally-sourced: How climate science can collaborate with arts & humanities museums to achieve widespread public trust and communication

Science.gov (United States)

Walker, C. G.

2017-12-01

Local history, art and culture museums have a large role to play in climate science communication. Unfortunately, in our current society, scientific evidence and logic is not universally accepted as truth. These messages can be dispersed through trusted institutional allies like humanities and arts museums. There are many reasons for scientific institutions to work with humanities and arts museums of all sizes, especially local museums that have personal, trusted relationships with their communities. First, museums (by definition) are public educators; the work that they do is to disperse challenging information in an understandable way to a wide array of audiences. Museums are located in every state, with over 35,000 museums in the nation; 26% of those are located in rural areas. These museums serve every demographic and age range, inspiring even those with difficulty accepting climate change information to act. Second, in a recent public opinion survey commissioned by the American Alliance of Museums, museums - especially history museums - are considered the most trustworthy source of information in America, rated higher than newspapers, nonprofit researchers, the U.S. government, or academic researchers. Scientific institutions must collaborate with local museums to improve science communication going forward. Not only will important climate and sustainability research be dispersed via trusted sources, but the public will engage with this information in large numbers. In 2012 alone, over 850 million people visited museums - more than the attendance for all major league sports and theme parks combined. A recent impact study shows that history and art museums, especially, are not seen as "having a political agenda," with over 78% of the public seeing these museums as trusted institutions. There are many ways in which the scientific community can collaborate with "the arts." This presentation will speak to the larger benefit of working with sister arts & humanities

Investigating the effects of climate variations on bacillary dysentery incidence in northeast China using ridge regression and hierarchical cluster analysis

Directory of Open Access Journals (Sweden)

Guo Junqiao

2008-09-01

Full Text Available Abstract Background The effects of climate variations on bacillary dysentery incidence have gained more recent concern. However, the multi-collinearity among meteorological factors affects the accuracy of correlation with bacillary dysentery incidence. Methods As a remedy, a modified method to combine ridge regression and hierarchical cluster analysis was proposed for investigating the effects of climate variations on bacillary dysentery incidence in northeast China. Results All weather indicators, temperatures, precipitation, evaporation and relative humidity have shown positive correlation with the monthly incidence of bacillary dysentery, while air pressure had a negative correlation with the incidence. Ridge regression and hierarchical cluster analysis showed that during 1987–1996, relative humidity, temperatures and air pressure affected the transmission of the bacillary dysentery. During this period, all meteorological factors were divided into three categories. Relative humidity and precipitation belonged to one class, temperature indexes and evaporation belonged to another class, and air pressure was the third class. Conclusion Meteorological factors have affected the transmission of bacillary dysentery in northeast China. Bacillary dysentery prevention and control would benefit from by giving more consideration to local climate variations.

[Modelling the effect of local climatic variability on dengue transmission in Medellin (Colombia) by means of time series analysis].

Science.gov (United States)

Rúa-Uribe, Guillermo L; Suárez-Acosta, Carolina; Chauca, José; Ventosilla, Palmira; Almanza, Rita

2013-09-01

Dengue fever is a major impact on public health vector-borne disease, and its transmission is influenced by entomological, sociocultural and economic factors. Additionally, climate variability plays an important role in the transmission dynamics. A large scientific consensus has indicated that the strong association between climatic variables and disease could be used to develop models to explain the incidence of the disease. To develop a model that provides a better understanding of dengue transmission dynamics in Medellin and predicts increases in the incidence of the disease. The incidence of dengue fever was used as dependent variable, and weekly climatic factors (maximum, mean and minimum temperature, relative humidity and precipitation) as independent variables. Expert Modeler was used to develop a model to better explain the behavior of the disease. Climatic variables with significant association to the dependent variable were selected through ARIMA models. The model explains 34% of observed variability. Precipitation was the climatic variable showing statistically significant association with the incidence of dengue fever, but with a 20 weeks delay. In Medellin, the transmission of dengue fever was influenced by climate variability, especially precipitation. The strong association dengue fever/precipitation allowed the construction of a model to help understand dengue transmission dynamics. This information will be useful to develop appropriate and timely strategies for dengue control.

Safety analysis of accident localization system

International Nuclear Information System (INIS)

1999-01-01

A complex safety analysis of accident localization system of Ignalina NPP was performed. Calculation results obtained, results of non-destruct ing testing and experimental data of reinforced concrete testing of buildings does not revealed deficiencies of buildings of accident localization system at unit 1 of Ignalina NPP. Calculations were performed using codes NEPTUNE, ALGOR, CONTAIN

Energy policy design and China’s local climate governance

DEFF Research Database (Denmark)

Ting, Guan; Delman, Jørgen

2017-01-01

This study probes into climate policy design at city level in China, with Hangzhou’s energy efficiency and renewable energy policies between 2005 and 2014 as a case. The study applies a political action arena approach to accentuate the importance of different normative preferences behind climate...

Place in Pacific Islands Climate Education

Science.gov (United States)

Barros, C.; Koh, M. W.

2015-12-01

Understanding place, including both the environment and its people, is essential to understanding our climate, climate change, and its impacts. For us to develop a sense of our place, we need to engage in multiple ways of learning: observation, experimentation, and opportunities to apply new knowledge (Orr, 1992). This approach allows us to access different sources of knowledge and then create local solutions for local issues. It is especially powerful when we rely on experts and elders in our own community along with information from the global community.The Pacific islands Climate Education Partnership (PCEP) is a collaboration of partners—school systems, nongovernmental organizations, and government agencies—working to support learning and teaching about climate in the Pacific. Since 2009, PCEP partners have been working together to develop and implement classroom resources, curriculum standards, and teacher professional learning opportunities in which learners approach climate change and its impacts first through the lens of their own place. Such an approach to putting place central to teaching and learning about climate requires partnership and opportunities for learners to explore solutions for and with their communities. In this presentation, we will share the work unfolding in the Republic of the Marshall Islands (RMI) as one example of PCEP's approach to place-based climate education. Three weeklong K-12 teacher professional learning workshops took place during June-July 2015 in Majuro, RMI on learning gardens, climate science, and project-based learning. Each workshop was co-taught with local partners and supports educators in teaching climate-related curriculum standards through tasks that can foster sense of place through observation, experimentation, and application of new knowledge. Additionally, we will also share PCEP's next steps in place-based climate education, specifically around emerging conversations about the importance of highlighting

American policy conflict in the greenhouse: Divergent trends in federal, regional, state, and local green energy and climate change policy

International Nuclear Information System (INIS)

Byrne, John; Hughes, Kristen; Rickerson, Wilson; Kurdgelashvili, Lado

2007-01-01

Climate change threatens significant impacts on global ecosystems and human populations. To address this challenge, industrialized nations have ratified the Kyoto Protocol and undertaken commitments to reduce emissions of greenhouse gases, the primary agents linked to anthropogenic alteration of earth's climate. By contrast, the US government, led by the Bush Administration, has rejected mandatory targets for curbing emissions under the Protocol, and has instead pursued voluntary mitigation measures amid a larger push for clean coal and 'next generation' nuclear technologies. These actions in total have fueled global perceptions that the US is not acting in substantial ways to address climate change. Nevertheless, action within the US is indeed moving forward, with states, cities and regional partnerships filling the federal leadership vacuum. This paper reviews the diverse policies, strategies, and cooperative frameworks that have emerged at regional, state and local levels to guide climate protection, and identifies the environmental and economic benefits linked to such programs. The paper also attempts to explain the existing federal impasse on climate policy, with attention given to how sub-national efforts may ultimately obviate national governmental inaction

Accounting for multiple climate components when estimating climate change exposure and velocity

Science.gov (United States)

Nadeau, Christopher P.; Fuller, Angela K.

2015-01-01

The effect of anthropogenic climate change on organisms will likely be related to climate change exposure and velocity at local and regional scales. However, common methods to estimate climate change exposure and velocity ignore important components of climate that are known to affect the ecology and evolution of organisms.We develop a novel index of climate change (climate overlap) that simultaneously estimates changes in the means, variation and correlation between multiple weather variables. Specifically, we estimate the overlap between multivariate normal probability distributions representing historical and current or projected future climates. We provide methods for estimating the statistical significance of climate overlap values and methods to estimate velocity using climate overlap.We show that climates have changed significantly across 80% of the continental United States in the last 32 years and that much of this change is due to changes in the variation and correlation between weather variables (two statistics that are rarely incorporated into climate change studies). We also show that projected future temperatures are predicted to be locally novel (using climate overlap compared to 1·4 km yr−1 when estimated using traditional methods.Our results suggest that accounting for changes in the means, variation and correlation between multiple weather variables can dramatically affect estimates of climate change exposure and velocity. These climate components are known to affect the ecology and evolution of organisms, but are ignored by most measures of climate change. We conclude with a set of future directions and recommend future work to determine which measures of climate change exposure and velocity are most related to biological responses to climate change.

Informing the NCA: EPA's Climate Change Impact and Risk Analysis Framework

Science.gov (United States)

Sarofim, M. C.; Martinich, J.; Kolian, M.; Crimmins, A. R.

2017-12-01

The Climate Change Impact and Risk Analysis (CIRA) framework is designed to quantify the physical impacts and economic damages in the United States under future climate change scenarios. To date, the framework has been applied to 25 sectors, using scenarios and projections developed for the Fourth National Climate Assessment. The strength of this framework has been in the use of consistent climatic, socioeconomic, and technological assumptions and inputs across the impact sectors to maximize the ease of cross-sector comparison. The results of the underlying CIRA sectoral analyses are informing the sustained assessment process by helping to address key gaps related to economic valuation and risk. Advancing capacity and scientific literature in this area has created opportunity to consider future applications and strengthening of the framework. This presentation will describe the CIRA framework, present results for various sectors such as heat mortality, air & water quality, winter recreation, and sea level rise, and introduce potential enhancements that can improve the utility of the framework for decision analysis.

Local governments in the driving seat? A comparative analysis of public and private responsibilities for adaptation to climate change in European and North-American cities

NARCIS (Netherlands)

Mees, Heleen

The division of responsibilities between public and private actors has become a key governance issue for adaptation to climate change in urban areas. This paper offers a systematic, comparative analysis of three empirical studies which analysed how and why responsibilities were divided between

Long memory effect of past climate change in Vostok ice core records

International Nuclear Information System (INIS)

Yamamoto, Yuuki; Kitahara, Naoki; Kano, Makoto

2012-01-01

Time series analysis of Vostok ice core data has been done for understanding of palaeoclimate change from a stochastic perspective. The Vostok ice core is one of the proxy data for palaeoclimate in which local temperature and precipitation rate, moisture source conditions, wind strength and aerosol fluxes of marine, volcanic, terrestrial, cosmogenic and anthropogenic origin are indirectly stored. Palaeoclimate data has a periodic feature and a stochastic feature. For the proxy data, spectrum analysis and detrended fluctuation analysis (DFA) were conducted to characterize periodicity and scaling property (long memory effect) in the climate change. The result of spectrum analysis indicates there exist periodicities corresponding to the Milankovitch cycle in past climate change occurred. DFA clarified time variability of scaling exponents (Hurst exponent) is associated with abrupt warming in past climate.

Do climate extreme events foster violent civil conflicts? A coincidence analysis

Science.gov (United States)

Schleussner, Carl-Friedrich; Donges, Jonathan F.; Donner, Reik V.

2014-05-01

Civil conflicts promoted by adverse environmental conditions represent one of the most important potential feedbacks in the global socio-environmental nexus. While the role of climate extremes as a triggering factor is often discussed, no consensus is yet reached about the cause-and-effect relation in the observed data record. Here we present results of a rigorous statistical coincidence analysis based on the Munich Re Inc. extreme events database and the Uppsala conflict data program. We report evidence for statistically significant synchronicity between climate extremes with high economic impact and violent conflicts for various regions, although no coherent global signal emerges from our analysis. Our results indicate the importance of regional vulnerability and might aid to identify hot-spot regions for potential climate-triggered violent social conflicts.

Two Contrasting Approaches to Building High School Teacher Capacity to Teach About Local Climate Change Using Powerful Geospatial Data and Visualization Technology

Science.gov (United States)

Zalles, D. R.

2011-12-01

The presentation will compare and contrast two different place-based approaches to helping high school science teachers use geospatial data visualization technology to teach about climate change in their local regions. The approaches are being used in the development, piloting, and dissemination of two projects for high school science led by the author: the NASA-funded Data-enhanced Investigations for Climate Change Education (DICCE) and the NSF funded Studying Topography, Orographic Rainfall, and Ecosystems with Geospatial Information Technology (STORE). DICCE is bringing an extensive portal of Earth observation data, the Goddard Interactive Online Visualization and Analysis Infrastructure, to high school classrooms. STORE is making available data for viewing results of a particular IPCC-sanctioned climate change model in relation to recent data about average temperatures, precipitation, and land cover for study areas in central California and western New York State. Across the two projects, partner teachers of academically and ethnically diverse students from five states are participating in professional development and pilot testing. Powerful geospatial data representation technologies are difficult to implement in high school science because of challenges that teachers and students encounter navigating data access and making sense of data characteristics and nomenclature. Hence, on DICCE, the researchers are testing the theory that by providing a scaffolded technology-supported process for instructional design, starting from fundamental questions about the content domain, teachers will make better instructional decisions. Conversely, the STORE approach is rooted in the perspective that co-design of curricular materials among researchers and teacher partners that work off of "starter" lessons covering focal skills and understandings will lead to the most effective utilizations of the technology in the classroom. The projects' goals and strategies for student

Modeling of vine agronomic practices in the context of climate change

Directory of Open Access Journals (Sweden)

Tissot Cyril

2014-01-01

Full Text Available Global climate change affects regional climates and hold implications for viticulture worldwide. Many studies have addressed the issue of the impact of climate change on viticulture in most wine regions worldwide, yet few studies are devoted to observing and simulating both climate and climate change at the “terroir” scale (local scale. However, phenological variations as well as differences in grapes/wine quality are often observed over short distances in a wine-region, which are related to local characteristics (slope, soil, seasonal climate …. This paper proposes a modeling approach to simulate behavior changes in wine grower activities and to analyze the impact of changing strategies in wine production. Two experiments were conducted in the small wine appellation grand cru Quart de Chaume (Coteaux du Layon, Loire Valley, France and in the wine estate in Mendoza (Bodega Alta Vista where all of the methodology (from the implementation of the knowledge database to the analysis of the first simulation is presented. Given that this prototype is still under development, several research perspectives are discussed.

Analysis of Local Financial Management Transparency Based on Websites on Local Government in Java

Directory of Open Access Journals (Sweden)

Anissa Adriana

2018-03-01

Full Text Available The aim of this research is to analyze financial management transparency of local governments in Java using scoring and rating. The financial management transparency of the local governments is scored based on presentation of local financial information uploaded on each local government’s official website in Jawa in the fiscal years 2016.This research is a qualitative research with the object of research is all local government in Java. Data analysis in two levels, namely the transparency of local government financial management and identification of local government characteristics based on transparency of financial management. Data analysis in two levels, namely the transparency of local government financial management and identification of local government characteristics based on transparency of financial management. The results show that the Special Capital Region of Jakarta obtained the highest transparency index, at 58, 02% whereas Madiun Regency received the lowest transparency index, at 3, 40%. The average transparency index in Jawa for the fiscal years 2016 was still low, at only 19, 59%.The conclusion of this research is that Java regional governments consider the transparency of local financial management using less important websites because it is considered as a better thing not delivered to the public.

NCL - a workhorse for data analysis and visualization in climate research

Science.gov (United States)

Meier-Fleischer, Karin; Boettinger, Michael; Haley, Mary

2015-04-01

Coupled earth system models are used for simulating the climate system. In the context of international climate assessment and model intercomparison projects, extensive simulation data sets are produced and have to be analyzed. Supercomputers and storage systems are used over years to perform the simulations, but the data analysis usually takes even more time. Different classes of tools are used for the analysis and visualization of these big data sets. In this PICO, we focus on NCL (NCAR Command Language), an interpreted language developed at the National Center for Atmospheric Research in Boulder, Colorado. NCL allows performing standard analysis operations and producing graphical output in batch mode loosely coupled with the simulations. Thus, for visual monitoring of their simulations, many of DKRZ's users have integrated NCL into their modeling workflows. We present application examples from the tutorial we have developed that focus on typical visualizations of climate model data. Since NCL supports rectilinear, curvilinear and even unstructured grids, it is well prepared to facilitate the visualization of today's climate model data without prior interpolation. NCL includes many features common to modern programming languages, such as types, variables, operators, expressions, conditional statements, loops, and functions and procedures. It provides more than 600 built-in functions specifically for climate model data, facilitating analysis of scalar and vector quantities as well as numerous state-of-the-art 2D visualization methods (contour lines, filled areas, markers, wind arrows or barbs, weather symbols and many more). Important for Earth scientists is also NCL's capability to display data together with the corresponding map background and a choice of the map projection.

Climate Innovation Centres. A global instrument with local benefits. Policy brief

International Nuclear Information System (INIS)

De Coninck, H.C.; Rivera Tinoco, R.A.

2010-09-01

A climate innovation centre is an institution aimed at enabling development through catalyzing climate technology research, development and market creation. What do technologies need to flourish and to contribute to sustainable economic development? Current research suggests that functioning markets, innovative capacities and the availability of appropriate technology in countries such as Ghana are key. In the climate negotiations, climate technology innovation centres, as well as an international network of them is in the process of agreement, providing opportunities for Ghana. This Policy Brief explains the considerations for a climate innovation centre in Ghana. It goes into the climate negotiations context, the practical choices for Ghana, gives examples of other countries, and outlines the next steps in the ECN Technical Assistance project.

Implementing Local Climate Change Adaptation and Mitigation Actions: The Role of Various Policy Instruments in a Multi-Level Governance Context

DEFF Research Database (Denmark)

Keskitalo, E. Carina H.; Juhola, Sirkku; Baron, Nina

2016-01-01

Recently, considerable focus, e.g., in the fifth IPCC (Intergovernmental Panel on Climate Change) Assessment Report (2014) has been trained on why adaptation and mitigation have not been developed more than at present, with relatively few local government actions taken compared with, for example,...

Climate Change and Civil Violence

Science.gov (United States)

van der Vink, G.; Plancherel, Y.; Hennet, C.; Jones, K. D.; Abdullah, A.; Bradshaw, J.; Dee, S.; Deprez, A.; Pasenello, M.; Plaza-Jennings, E.; Roseman, D.; Sopher, P.; Sung, E.

2009-05-01

The manifestations of climate change can result in humanitarian impacts that reverse progress in poverty- reduction, create shortages of food and resources, lead to migration, and ultimately result in civil violence and conflict. Within the continent of Africa, we have found that environmentally-related variables are either the cause or the confounding factor for over 80% of the civil violence events during the last 10 years. Using predictive climate models and land-use data, we are able to identify populations in Africa that are likely to experience the most severe climate-related shocks. Through geospatial analysis, we are able to overlay these areas of high risk with assessments of both the local population's resiliency and the region's capacity to respond to climate shocks should they occur. The net result of the analysis is the identification of locations that are becoming particularly vulnerable to future civil violence events (vulnerability hotspots) as a result of the manifestations of climate change. For each population group, over 600 social, economic, political, and environmental indicators are integrated statistically to measures the vulnerability of African populations to environmental change. The indicator time-series are filtered for data availability and redundancy, broadly ordered into four categories (social, political, economic and environmental), standardized and normalized. Within each category, the dominant modes of variability are isolated by principal component analysis and the loadings of each component for each variable are used to devise composite index scores. Comparisons of past vulnerability with known environmentally-related conflicts demonstrates the role that such vulnerability hotspot maps can play in evaluating both the potential for, and the significance of, environmentally-related civil violence events. Furthermore, the analysis reveals the major variables that are responsible for the population's vulnerability and therefore

Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT)

Energy Technology Data Exchange (ETDEWEB)

Williams, Dean N. [Lawrence Livermore National Lab. (LLNL), Livermore, CA (United States); Silva, Claudio [New York Univ. (NYU), NY (United States). Computer Science and Engineering Dept.

2013-09-30

For the past three years, a large analysis and visualization effort—funded by the Department of Energy’s Office of Biological and Environmental Research (BER), the National Aeronautics and Space Administration (NASA), and the National Oceanic and Atmospheric Administration (NOAA)—has brought together a wide variety of industry-standard scientific computing libraries and applications to create Ultra-scale Visualization Climate Data Analysis Tools (UV-CDAT) to serve the global climate simulation and observational research communities. To support interactive analysis and visualization, all components connect through a provenance application–programming interface to capture meaningful history and workflow. Components can be loosely coupled into the framework for fast integration or tightly coupled for greater system functionality and communication with other components. The overarching goal of UV-CDAT is to provide a new paradigm for access to and analysis of massive, distributed scientific data collections by leveraging distributed data architectures located throughout the world. The UV-CDAT framework addresses challenges in analysis and visualization and incorporates new opportunities, including parallelism for better efficiency, higher speed, and more accurate scientific inferences. Today, it provides more than 600 users access to more analysis and visualization products than any other single source.

Can climate and soil conditions change the morpho-anatomy among individuals from different localities? A case study in Aldama grandiflora (Asteraceae

Directory of Open Access Journals (Sweden)

L. F. Muniz

2018-02-01

Full Text Available Abstract Vegetative aerial organs are considerably more exposed to environmental conditions and can reflect the specific adaptations of plants to their local environment. Aldama grandiflora species are known to be widely distributed in Brazil; therefore, individuals from different populations of this species are thought to be exposed to different abiotic and biotic conditions. Several anatomical studies conducted on Brazilian Aldama species have mainly focused on the qualitative anatomical characters or traits of these species, but not on their quantitative traits. In this study, we evaluated whether climate and soil conditions can change the morphometry among individuals of A. grandiflora collected from six sites in the Goiás State, Brazil, by assessing their anatomical characters. Further, soil sampling was performed, and climate data were collected from all the six sites. The analysis indicated few statistical differences among the populations evaluated, showing that A. grandiflora presented consistent leaf and stem anatomical characteristics. The small morpho-anatomical differences found among individuals of the different populations evaluated, reflected the soil conditions in which these populations were grown. Therefore, environmental factors have a significant influence on the morpho-anatomy of Aldama grandiflora.

Impact of socio-demographic factors on the mitigating actions for climate change: a path analysis with mediating effects of attitudinal variables.

Science.gov (United States)

Masud, Muhammad Mehedi; Akhatr, Rulia; Nasrin, Shamima; Adamu, Ibrahim Mohammed

2017-12-01

Socio-demographic factors play a significant role in increasing the individual's climate change awareness and in setting a favorable individual attitude towards its mitigation. To better understand how the adversative effects of climate change can be mitigated, this study attempts to investigate the impact of socio-demographic factors on the mitigating actions of the individuals (MAOI) on climate change. Qualitative data were collected from a face-to-face survey of 360 respondents in the Kuala Lumpur region of Malaysia through a close-ended questionnaire. Analysis was conducted on the mediating effects of attitudinal variables through the path model by using the SEM. Findings indicate that the socio-demographic factors such as gender, age, education, income, and ethnicity can greatly influence the individual's awareness, attitude, risk perception, and knowledge of climate change issues. The results drawn from this study also revealed that the attitudinal factors act as a mediating effect between the socio-demographic factors and the MAOI, thereby, indicating that both the socio-demographic factors and the attitudinal factors have significant effects on the MAOI towards climate change. The outcome of this study can help policy makers and other private organizations to decide on the appropriate actions to take in managing climate change effects. These actions which encompass improving basic climate change education and making the public more aware of the local dimensions of climate change are important for harnessing public engagement and support that can also stimulate climate change awareness and promote mitigating actions to n protect the environment from the impact of climate change.

Climate Change and Political Action: the Citizens' Climate Lobby

Science.gov (United States)

Nelson, P. H.; Secord, S.

2014-12-01

Recognizing the reality of global warming and its origin in greenhouse gas emissions, what does one do about it? Individual action is commendable, but inadequate. Collective action is necessary--Citizens' Climate Lobby proposes a "fee-and-dividend" approach in which a fee is imposed on carbon-based fuel at its sources of production. The fee increases annually in a predictable manner. The funds collected are paid out to consumers as monthly dividends. The approach is market-based, in that the cost of the fee to producers is passed on to consumers in the cost of carbon-based fuels. Downstream energy providers and consumers then make their choices regarding investments and purchases. Citizens' Climate Lobby (CCL) builds national consensus by growing local Chapters, led and populated by volunteers. The Chapters are charged with public education and presenting the fee-and-dividend proposal to their respective Representatives and Senators. CCL builds trust by its non-partisan approach, meeting with all members of Congress regardless of party affiliation and stance on climate-related issues. CCL also builds trust by a non-confrontational approach, seeking to understand rather than to oppose. CCL works both locally, through its local Chapters, and nationally, with an annual conference in Washington DC during which all Congressional offices are visited. CCL recognizes that a long-term, sustained effort is necessary to address climate change.

Southern voices on climate policy choices: Analysis of and lessons learned from civil society advocacy on climate change

Energy Technology Data Exchange (ETDEWEB)

Reid, Hannah; Ampomah, Gifty; Prera, Maria Isabel Olazabal; Rabbani, Golam; Zvigadza, Shepard

2012-05-15

This report provides an analysis of the tools and tactics advocacy groups use to influence policy responses to climate change at international, regional, national and sub-national levels. More than 20 climate networks and their member organisations have contributed to the report with their experiences of advocacy on climate change, including over 70 case studies from a wide range of countries - including many of the poorest - in Africa, Asia, Latin America and the Pacific. These advocacy activities primarily target national governments, but also international and regional processes, donors and the private sector. Analyses and case studies show how civil society plays key roles in pushing for new laws, programmes, policies or strategies on climate change, in holding governments to account on their commitments; in identifying the lack of joined-up government responses to climate change; and in ensuring that national policy making does not forget the poor and vulnerable. The report is the first joint product of the Southern Voices Capacity Building Programme, or for short: Southern Voices on Climate Change.

How does one localize climate change? Climate symbols and the case of the Ilulissat Icefjord

DEFF Research Database (Denmark)

Bjørst, Lill Rastad

The former Danish Minister for Climate and Energy, Connie Hedegaard, targeted the UNESCO World Heritage site Ilulissat Icefjord as a prime example of ‘the Greenlandic case’ and called it a strong ‘climate symbol’. Between the years 2005 and 2009, she invited other Ministers and heads of state...

Climate | National Oceanic and Atmospheric Administration

Science.gov (United States)

Jump to Content Enter Search Terms Weather Climate Oceans & Coasts Fisheries Satellites your local weather Enter your ZIP code GO Enter Search Terms Content OUR WORK Climate From to help people understand and prepare for climate variability and change. Climate. NOAA From

Combining satellite derived phenology with climate data for climate change impact assessment

Science.gov (United States)

Ivits, E.; Cherlet, M.; Tóth, G.; Sommer, S.; Mehl, W.; Vogt, J.; Micale, F.

2012-05-01

The projected influence of climate change on the timing and volume of phytomass production is expected to affect a number of ecosystem services. In order to develop coherent and locally effective adaptation and mitigation strategies, spatially explicit information on the observed changes is needed. Long-term variations of the vegetative growing season in different environmental zones of Europe for 1982-2006 have been derived by analysing time series of GIMMS NDVI data. The associations of phenologically homogenous spatial clusters to time series of temperature and precipitation data were evaluated. North-east Europe showed a trend to an earlier and longer growing season, particularly in the northern Baltic areas. Despite the earlier greening up large areas of Europe exhibited rather stable season length indicating the shift of the entire growing season to an earlier period. The northern Mediterranean displayed a growing season shift towards later dates while some agglomerations of earlier and shorter growing season were also seen. The correlation of phenological time series with climate data shows a cause-and-effect relationship over the semi natural areas consistent with results in literature. Managed ecosystems however appear to have heterogeneous change pattern with less or no correlation to climatic trends. Over these areas climatic trends seemed to overlap in a complex manner with more pronounced effects of local biophysical conditions and/or land management practices. Our results underline the importance of satellite derived phenological observations to explain local nonconformities to climatic trends for climate change impact assessment.

Chinese Climate and Vernacular Dwellings

Directory of Open Access Journals (Sweden)

Feifei Sun

2013-01-01

Full Text Available The industrial and economic expansion of China, particularly its rapid urbanization, has resulted in dramatic increased consumption of energy resources and the resulting environmental impacts at local, regional and global levels. Although a national program aimed at the technological development of sustainable buildings with energy saving potential is ongoing, it is also appropriate to consult vernacular architectural tradition. This holds the potential to learn and adapt important cultural ideas developed over time on the art of balancing thermal comfort between climate and limited resources. This paper explores the five different climatic regions into which China is partitioned by the Chinese authorities: severe cold region, cold region, moderate region, hot summer and cold winter region, and hot summer and mild winter region. Analysis of each region covers the climate and its vernacular architecture with a special focus on how sustainability was addressed. Finally, regional climate scenario has been analyzed on the basis of data from Meteonorm V6.1 with special attention paid to passive design strategies.

The role of social norms on preferences towards climate change policies: A meta-analysis

International Nuclear Information System (INIS)

Alló, Maria; Loureiro, Maria L.

2014-01-01

The present study provides a review of existing assessments of preferences for climate change mitigation and adaptation policies through a worldwide meta-analysis. In this study, we analyze the impact of social values and norms on preferences towards climate change adaptation and mitigation policies. In a sample of 58 international studies, we found that mitigation actions were preferred over adaptation actions, and that preferences towards climate change policies are affected by attitudes towards time and social norms. In particular, societies with a long-term orientation display greater support towards climate change policies. These results therefore reveal the role of social factors as being crucial in order to understand the acceptability of climate change policies at a worldwide level. - highlights: • Effective policy design is required in order to curb climate change. • Using a meta-analysis, we find that mitigation actions are preferred over adaptation actions. • Economic conditions play a crucial role for supporting efforts to combat climate change. • Cultural and social dimensions are relevant for the acceptability of climate policies. • Understanding social norms and cultural variables may help with the climate change debate

Climatic and technological ceilings for Chinese rice stagnation based on yield gaps and yield trend pattern analysis.

Science.gov (United States)

Zhang, Tianyi; Yang, Xiaoguang; Wang, Hesong; Li, Yong; Ye, Qing

2014-04-01

Climatic or technological ceilings could cause yield stagnation. Thus, identifying the principal reasons for yield stagnation within the context of the local climate and socio-economic conditions are essential for informing regional agricultural policies. In this study, we identified the climatic and technological ceilings for seven rice-production regions in China based on yield gaps and on a yield trend pattern analysis for the period 1980-2010. The results indicate that 54.9% of the counties sampled experienced yield stagnation since the 1980. The potential yield ceilings in northern and eastern China decreased to a greater extent than in other regions due to the accompanying climate effects of increases in temperature and decreases in radiation. This may be associated with yield stagnation and halt occurring in approximately 49.8-57.0% of the sampled counties in these areas. South-western China exhibited a promising scope for yield improvement, showing the greatest yield gap (30.6%), whereas the yields were stagnant in 58.4% of the sampled counties. This finding suggests that efforts to overcome the technological ceiling must be given priority so that the available exploitable yield gap can be achieved. North-eastern China, however, represents a noteworthy exception. In the north-central area of this region, climate change has increased the yield potential ceiling, and this increase has been accompanied by the most rapid increase in actual yield: 1.02 ton ha(-1) per decade. Therefore, north-eastern China shows a great potential for rice production, which is favoured by the current climate conditions and available technology level. Additional environmentally friendly economic incentives might be considered in this region. © 2013 John Wiley & Sons Ltd.

A Model for Local Experiential Learning: Teacher Workshop on Mangroves, Oceans & Climate in Kosrae

Science.gov (United States)