Buoy Dynamics in Subsurface Zones

Directory of Open Access Journals (Sweden)

Randy Guillen

2009-01-01

Full Text Available The objective of this paper is to find the tension acting on a line that anchors a buoy submerged just beneath the surface of the ocean. Since the problem statement only gives the geometric shapes and dimensions of the buoy, we must use calculus to find its volume and surface area through integration of the volumes and surfaces of revolution formed by the specific parts of the buoy along an axis. The volume and surface area determine the buoyancy force and force of gravity, the two forces acting on the buoy that affect the tension in the line. After calculating this data, we were able to conclude that the tension affecting the line would be approximately 78 kN if the buoy was made of 1% carbon steel with a thickness of 6.35 mm. This problem is useful in several engineering disciplines.

Power Production Analysis of the OE Buoy WEC for the CORES Project

DEFF Research Database (Denmark)

Lavelle, John; Kofoed, Jens Peter

This report describes the analysis performed on the OE Buoy for the CORES project by the wave energy group at Aalborg University, Denmark. OE Buoy is a type of Oscillating Water Column (OWC) wave energy converter as part of the CORES project. This type of device is one of the most developed...... to extract energy from the ocean (1). Typically, a Wells turbine is used for the Power Take Off (PTO) for OWCs. The Wells turbine has the advantage that it is self-rectifying – with the ability to operate with either direction of airflow, which changes during each cycle of the wave. This type of turbine...... which a total of 39 hours of power production data was collected. A data acquisition system was used to sample the sensors on board and the generator shaft power time-series data was used in the analysis here. A wave-rider buoy, located at the site of OE Buoy and operated by the Marine Institute Ireland...

Spectral wave characteristics off Gangavaram, Bay of Bengal.

Digital Repository Service at National Institute of Oceanography (India)

SanilKumar, V.; Dubhashi, K.K.; Nair, T.M.B.

the seasonal change in wind pattern. These data are provided by the NOAA-CIRES Climate Diagnostics Center, Boulder, Colorado at http://www.cdc.noaa.gov/. Kumar and Sajiv (2010) compared the buoy measured wind data with the NCEP reanalysis data for a location...

On the Optimization of Point Absorber Buoys

Directory of Open Access Journals (Sweden)

Linnea Sjökvist

2014-05-01

Full Text Available A point absorbing wave energy converter (WEC is a complicated dynamical system. A semi-submerged buoy drives a power take-off device (PTO, which acts as a linear or non-linear damper of the WEC system. The buoy motion depends on the buoy geometry and dimensions, the mass of the moving parts of the system and on the damping force from the generator. The electromagnetic damping in the generator depends on both the generator specifications, the connected load and the buoy velocity. In this paper a velocity ratio has been used to study how the geometric parameters buoy draft and radius, assuming constant generator damping coefficient, affects the motion and the energy absorption of a WEC. It have been concluded that an optimal buoy geometry can be identified for a specific generator damping. The simulated WEC performance have been compared with experimental values from two WECs with similar generators but different buoys. Conclusions have been drawn about their behaviour.

NDBC Standard Meteorological Buoy Data, 1970-present

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The National Data Buoy Center (NDBC) distributes meteorological data from moored buoys maintained by NDBC and others. Moored buoys are the weather sentinels of the...

Comparison of ERA-Interim waves with buoy data in the eastern Arabian Sea during high waves

Digital Repository Service at National Institute of Oceanography (India)

Shanas, P.R.; SanilKumar, V.

at two locations in eastern Arabian Sea One location is a deep water location and another one is a shallow water location The comparison of significant wave height (SWH) between ERA dataset and buoy data at both the locations shows good correlation...

Fatigue Life Prediction of the Keel Structure of a Tsunami Buoy Using Spectral Fatigue Analysis Method

Directory of Open Access Journals (Sweden)

Angga Yustiawan

2013-09-01

Full Text Available One  of  the  components  of  the  Indonesia  Tsunami  Early  Warning  System  (InaTEWS  is  a  surface  buoy.  The  surface buoy  is  exposed  to  dynamic  and  random  loadings  while  operating  at  sea,  particularly  due  to  waves.  Because  of  the cyclic  nature  of  the  wave  load,  this  may  result  in  a fatigue  damage  of  the  keel  structure,  which  connects  the  mooring line  with  the  buoy  hull.  The  operating  location  of  the buoy  is  off  the  Java  South  Coast  at  the  coordinate (10.3998  S, 108.3417  E. To  determine  the  stress  transfer  function, model  tests  were  performed,  measuring  the  buoy  motions  and the stress at the mooring line. A spectral fatigue analysis method is applied for the purpose of estimating the fatigue life of the keel structure. Utilizing the  model-test results, the S-N curve obtained in a previous study and the  wave data at the buoy location, it is found that the fatigue life of the keel structure is approximately 11 years.

An array effect of wave energy farm buoys

Directory of Open Access Journals (Sweden)

Hyuck-Min Kweon

2012-12-01

Full Text Available An ocean buoy energy farm is considered for Green energy generation and delivery to small towns along the Korean coast. The present studypresents that the floating buoy-type energy farm appears to be sufficiently feasible fortrapping more energy compared to afixed cylinder duck array. It is also seen from the numerical resultsthat the resonated waves between spaced buoys are further trapped by floating buoy motion. Our numerical study is analyzed by a plane-wave approximation, in which evanescent mode effects are included in a modified mild-slope equation based on the scattering characteristics for a single buoy.

Tsunami.gov: NOAA's Tsunami Information Portal

Science.gov (United States)

Shiro, B.; Carrick, J.; Hellman, S. B.; Bernard, M.; Dildine, W. P.

2014-12-01

We present the new Tsunami.gov website, which delivers a single authoritative source of tsunami information for the public and emergency management communities. The site efficiently merges information from NOAA's Tsunami Warning Centers (TWC's) by way of a comprehensive XML feed called Tsunami Event XML (TEX). The resulting unified view allows users to quickly see the latest tsunami alert status in geographic context without having to understand complex TWC areas of responsibility. The new site provides for the creation of a wide range of products beyond the traditional ASCII-based tsunami messages. The publication of modern formats such as Common Alerting Protocol (CAP) can drive geographically aware emergency alert systems like FEMA's Integrated Public Alert and Warning System (IPAWS). Supported are other popular information delivery systems, including email, text messaging, and social media updates. The Tsunami.gov portal allows NOAA staff to easily edit content and provides the facility for users to customize their viewing experience. In addition to access by the public, emergency managers and government officials may be offered the capability to log into the portal for special access rights to decision-making and administrative resources relevant to their respective tsunami warning systems. The site follows modern HTML5 responsive design practices for optimized use on mobile as well as non-mobile platforms. It meets all federal security and accessibility standards. Moving forward, we hope to expand Tsunami.gov to encompass tsunami-related content currently offered on separate websites, including the NOAA Tsunami Website, National Tsunami Hazard Mitigation Program, NOAA Center for Tsunami Research, National Geophysical Data Center's Tsunami Database, and National Data Buoy Center's DART Program. This project is part of the larger Tsunami Information Technology Modernization Project, which is consolidating the software architectures of NOAA's existing TWC's into

Advanced Approach of Multiagent Based Buoy Communication.

Science.gov (United States)

Gricius, Gediminas; Drungilas, Darius; Andziulis, Arunas; Dzemydiene, Dale; Voznak, Miroslav; Kurmis, Mindaugas; Jakovlev, Sergej

2015-01-01

Usually, a hydrometeorological information system is faced with great data flows, but the data levels are often excessive, depending on the observed region of the water. The paper presents advanced buoy communication technologies based on multiagent interaction and data exchange between several monitoring system nodes. The proposed management of buoy communication is based on a clustering algorithm, which enables the performance of the hydrometeorological information system to be enhanced. The experiment is based on the design and analysis of the inexpensive but reliable Baltic Sea autonomous monitoring network (buoys), which would be able to continuously monitor and collect temperature, waviness, and other required data. The proposed approach of multiagent based buoy communication enables all the data from the costal-based station to be monitored with limited transition speed by setting different tasks for the agent-based buoy system according to the clustering information.

Advanced Approach of Multiagent Based Buoy Communication

Directory of Open Access Journals (Sweden)

Gediminas Gricius

2015-01-01

Full Text Available Usually, a hydrometeorological information system is faced with great data flows, but the data levels are often excessive, depending on the observed region of the water. The paper presents advanced buoy communication technologies based on multiagent interaction and data exchange between several monitoring system nodes. The proposed management of buoy communication is based on a clustering algorithm, which enables the performance of the hydrometeorological information system to be enhanced. The experiment is based on the design and analysis of the inexpensive but reliable Baltic Sea autonomous monitoring network (buoys, which would be able to continuously monitor and collect temperature, waviness, and other required data. The proposed approach of multiagent based buoy communication enables all the data from the costal-based station to be monitored with limited transition speed by setting different tasks for the agent-based buoy system according to the clustering information.

Novel ocean energy permanent magnet linear generator buoy

Energy Technology Data Exchange (ETDEWEB)

Rhinefrank, K.; Agamloh, E.B.; Jouanne, A. von; Wallace, A.K.; Prudell, J.; Kimble, K.; Aills, J.; Schmidt, E.; Schacher, A. [School of Electrical Engineering and Computer Science, Oregon State University, Corvallis, OR 97331-3211 (United States); Chan, P.; Sweeny, B. [Department of Mechanical Engineering, Oregon State University, Corvallis, OR 97331-3211 (United States)

2006-07-15

This paper describes the research, design, construction and prototype testing process of a novel ocean energy direct drive permanent magnet linear generator buoy. The buoy employs the vertical component of the motion of ocean waves to power a linear generator. The generator consists of a permanent magnet field system (mounted on the central translator shaft) and an armature, in which the power is generated (mounted on the buoy). The translator shaft is anchored to the sea floor, and the buoy/floater moves armature coils relative to the permanent magnet translator to induce voltages. The electrical and mechanical structures of the buoy generator are provided, along with performance characteristics, including voltage, current and developed power. (author)

ASSIMILATION OF REAL-TIME DEEP SEA BUOY DATA FOR TSUNAMI FORECASTING ALONG THAILAND’S ANDAMAN COASTLINE

Directory of Open Access Journals (Sweden)

Seree Supharatid

2008-01-01

Full Text Available The occurrence of 2004 Indian Ocean tsunami enhanced the necessity for a tsunami early warning system for countries bordering the Indian Ocean, including Thailand. This paper describes the assimilation of real-time deep sea buoy data for tsunami forecasting along Thailand’s Andaman coastline. Firstly, the numerical simulation (by the linear and non-linear shallow water equations was carried out for hypothetical cases of tsunamigenic earthquakes with epicenters located in the Andaman micro plate. Outputs of the numerical model are tsunami arrival times and the maximum wave height that can be expected at 58 selected communities along Thailand Andaman coastline and two locations of DART buoys in the Indian Ocean. Secondly, a “neural” network model (GRNN was developed to access the data from the numerical computations for subsequent construction of a tsunami database that can be displayed on a web-based system. This database can be updated with the integration from two DART buoys and from several GRNN models.

An improvement of the GPS buoy system for detecting tsunami at far offshore

Science.gov (United States)

Kato, T.; Terada, Y.; Nagai, T.; Kawaguchi, K.; Koshimura, S.; Matsushita, Y.

2012-12-01

We have developed a GPS buoy system for detecting a tsunami before its arrival at coasts and thereby mitigating tsunami disaster. The system was first deployed in 1997 for a short period in the Sagami bay, south of Tokyo, for basic experiments, and then deployed off Ofunato city, northeastern part of Japan, for the period 2001-2004. The system was then established at about 13km south of Cape Muroto, southwestern part of Japan, since 2004. Five tsunamis of about 10cm have been observed in these systems, including 2001 Peru earthquake (Mw8.3), 2003 Tokachi-oki earthquake (Mw8.3), 2004 Off Kii Peninsula earthquake (Mw7.4), 2010 Chile earthquake (Mw8.8), and 2011 Tohoku-Oki earthquake (Mw9.0). These experiments clearly showed that GPS buoy is capable of detecting tsunami with a few centimeter accuracy and can be monitored in near real time by applying an appropriate filter, real-time data transmission using radio and dissemination of obtained records of sea surface height changes through internet. Considering that the system is a powerful tool to monitor sea surface variations due to wind as well as tsunami, the Ministry of Land, Infrastructure, Transport and Tourism implemented the system in a part of the Nationwide Ocean Wave information network for Ports and HArbourS (NOWPHAS) system and deployed the system at 15 sites along the coasts around the Japanese Islands. The system detected the tsunami due to the 11th March 2011 Tohoku-Oki earthquake with higher than 6m of tsunami height at the site Off South Iwate (Kamaishi). The Japan Meteorological Agency that was monitoring the record updated the level of the tsunami warning to the greatest value due to the result. Currently, the GPS buoy system uses a RTK-GPS which requires a land base for obtaining precise location of the buoy by a baseline analysis. This algorithm limits the distance of the buoy to, at most, 20km from the coast as the accuracy of positioning gets much worse as the baseline distance becomes longer

Drifting buoy data collected by the National Data Buoy Center (NDBC) in oceans world-wide from 1984-05-01 to 1998-10-27

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This collection contains drifting buoy data collected from May 1984 through October 1998 from buoys deployed by the National Data Buoy Center, Stennis Space Center,...

33 CFR 165.812 - Security Zones; Lower Mississippi River, Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans...

Science.gov (United States)

2010-07-01

... River, Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans, LA. 165.812 Section 165.812 Navigation..., Southwest Pass Sea Buoy to Mile Marker 96.0, New Orleans, LA. (a) Location. Within the Lower Mississippi... Lower Mississippi River mile marker 96.0 in New Orleans, Louisiana. These moving security zones...

Mooring Line for an Oceanographic Buoy System

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — A mooring line for an oceanographic buoy system includes four sections. The first section is a protected cable that is connectable to the buoy. The second section is...

High frequency monitoring of the coastal marine environment using the MAREL buoy.

Science.gov (United States)

Blain, S; Guillou, J; Tréguer, P; Woerther, P; Delauney, L; Follenfant, E; Gontier, O; Hamon, M; Leilde, B; Masson, A; Tartu, C; Vuillemin, R

2004-06-01

The MAREL Iroise data buoy provides physico-chemical measurements acquired in surface marine water in continuous and autonomous mode. The water is pumped 1.5 m from below the surface through a sampling pipe and flows through the measuring cell located in the floating structure. Technological innovations implemented inside the measuring cell atop the buoy allow a continuous cleaning of the sensor, while injection of chloride ions into the circuit prevents biological fouling. Specific sensors for temperature, salinity, oxygen and fluorescence investigated in this paper have been evaluated to guarantee measurement precision over a 3 month period. A bi-directional link under Internet TCP-IP protocols is used for data, alarms and remote-control transmissions with the land-based data centre. Herein, we present a 29 month record for 4 parameters measured using a MAREL buoy moored in a coastal environment (Iroise Sea, Brest, France). The accuracy of the data provided by the buoy is assessed by comparison with measurements of sea water weekly sampled at the same site as part of SOMLIT (Service d'Observation du Milieu LIToral), the French network for monitoring of the coastal environment. Some particular events (impact of intensive fresh water discharges, dynamics of a fast phytoplankton bloom) are also presented, demonstrating the worth of monitoring a highly variable environment with a high frequency continuous reliable system.

NOAA History - NOAA Then and Now

Science.gov (United States)

NOAA History Banner gold bar divider home - takes you to index page about the site contacts noaa formed agency. The documents in this section include information on the history of the formation of NOAA . agency history noaa seal NOAA Historical background information on NOAA as an agency of the Department of

Shallow Water Optical Water Quality Buoy

Science.gov (United States)

Bostater, Charles

1998-01-01

This NASA grant was funded as a result of an unsolicited proposal submission to Kennedy Space Center. The proposal proposed the development and testing of a shallow water optical water quality buoy. The buoy is meant to work in shallow aquatic systems (ponds, rivers, lagoons, and semi-enclosed water areas where strong wind wave action is not a major environmental During the project period of three years, a demonstration of the buoy was conducted. The last demonstration during the project period was held in November, 1996 when the buoy was demonstrated as being totally operational with no tethered communications line. During the last year of the project the buoy was made to be solar operated by large gel cell batteries. Fund limitations did not permit the batteries in metal enclosures as hoped for higher wind conditions, however the system used to date has worked continuously for in- situ operation of over 18 months continuous deployment. The system needs to have maintenance and somewhat continuous operational attention since various components have limited lifetime ages. For example, within the last six months the onboard computer has had to be repaired as it did approximately 6 months after deployment. The spectrograph had to be repaired and costs for repairs was covered by KB Science since no ftmds were available for this purpose after the grant expired. Most recently the computer web page server failed and it is currently being repaired by KB Science. In addition, the cell phone operation is currently being ftmded by Dr. Bostater in order to maintain the system's operation. The above points need to be made to allow NASA to understand that like any sophisticated measuring system in a lab or in the field, necessary funding and maintenance is needed to insure the system's operational state and to obtain quality factor. The proposal stated that the project was based upon the integration of a proprietary and confidential sensor and probe design that was developed by

Bayesian inference of earthquake parameters from buoy data using a polynomial chaos-based surrogate

KAUST Repository

Giraldi, Loic; Le Maî tre, Olivier P.; Mandli, Kyle T.; Dawson, Clint N.; Hoteit, Ibrahim; Knio, Omar

2017-01-01

on polynomial chaos expansion to construct a surrogate model of the wave height at the buoy location. A correlated noise model is first proposed in order to represent the discrepancy between the computational model and the data. This step is necessary, as a

NOAA's Integrated Tsunami Database: Data for improved forecasts, warnings, research, and risk assessments

Science.gov (United States)

Stroker, Kelly; Dunbar, Paula; Mungov, George; Sweeney, Aaron; McCullough, Heather; Carignan, Kelly

2015-04-01

The National Oceanic and Atmospheric Administration (NOAA) has primary responsibility in the United States for tsunami forecast, warning, research, and supports community resiliency. NOAA's National Geophysical Data Center (NGDC) and co-located World Data Service for Geophysics provide a unique collection of data enabling communities to ensure preparedness and resilience to tsunami hazards. Immediately following a damaging or fatal tsunami event there is a need for authoritative data and information. The NGDC Global Historical Tsunami Database (http://www.ngdc.noaa.gov/hazard/) includes all tsunami events, regardless of intensity, as well as earthquakes and volcanic eruptions that caused fatalities, moderate damage, or generated a tsunami. The long-term data from these events, including photographs of damage, provide clues to what might happen in the future. NGDC catalogs the information on global historical tsunamis and uses these data to produce qualitative tsunami hazard assessments at regional levels. In addition to the socioeconomic effects of a tsunami, NGDC also obtains water level data from the coasts and the deep-ocean at stations operated by the NOAA/NOS Center for Operational Oceanographic Products and Services, the NOAA Tsunami Warning Centers, and the National Data Buoy Center (NDBC) and produces research-quality data to isolate seismic waves (in the case of the deep-ocean sites) and the tsunami signal. These water-level data provide evidence of sea-level fluctuation and possible inundation events. NGDC is also building high-resolution digital elevation models (DEMs) to support real-time forecasts, implemented at 75 US coastal communities. After a damaging or fatal event NGDC begins to collect and integrate data and information from many organizations into the hazards databases. Sources of data include our NOAA partners, the U.S. Geological Survey, the UNESCO Intergovernmental Oceanographic Commission (IOC) and International Tsunami Information Center

Pacific Ocean buoy temperature date - TAO/TRITON database & National Buoy Data Center database

Data.gov (United States)

U.S. Environmental Protection Agency — Pacific Ocean buoy temperature data. This dataset is associated with the following publication: Carbone, F., M. Landis, C.N. Gencarelli, A. Naccarato, F. Sprovieri,...

Numerical study of hydrodynamic behavior and conversion efficiency of a two-buoy wave energy converter

Science.gov (United States)

Yang, Cen; Zhang, Yong-liang

2018-04-01

In this paper we propose a two-buoy wave energy converter composed of a heaving semi-submerged cylindrical buoy, a fixed submerged cylindrical buoy and a power take-off (PTO) system, and investigate the effect of the fixed submerged buoy on the hydrodynamics of the heaving semi-submerged buoy based on the three-dimensional potential theory. And the dynamic response of the semi-submerged buoy and the wave energy conversion efficiency of the converter are analyzed. The difference of the hydrodynamics and the wave energy conversion efficiency of a semi-submerged buoy converter with and without a fixed submerged buoy is discussed. It is revealed that the influence of the fixed submerged buoy on the exciting wave force, the added mass, the radiation damping coefficient and the wave energy conversion efficiency can be significant with a considerable variation, depending on the vertical distance between the heaving semi-submerged buoy and the fixed submerged buoy, the diameter ratio of the fixed submerged buoy to the heaving semi-submerged buoy and the water depth.

Oceanographic measurements from the Texas Automated Buoy System (TABS)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The Texas Automated Buoy System contains daily oceanographic measurements from seven buoys off the Texas coast from Brownsville to Sabine. The Texas General Land...

Development of drifting buoys

Digital Repository Service at National Institute of Oceanography (India)

Nayak, M.R.; Peshwe, V.B.; Tengali, S.

transmeters. This paper discusses the design aspects and performance characteristics of these buoys presenting a small fraction of the considerable data set acquired. The requiremnts for further inclusion of certain sensors and hardware are described...

From Space to the Rocky Intertidal: Using NASA MODIS Sea Surface Temperature and NOAA Water Temperature to Predict Intertidal Logger Temperature

Directory of Open Access Journals (Sweden)

Jessica R. P. Sutton

2017-02-01

Full Text Available The development of satellite-derived datasets has greatly facilitated large-scale ecological studies, as in situ observations are spatially sparse and expensive undertakings. We tested the efficacy of using satellite sea surface temperature (SST collected by NASA’s Moderate Resolution Imaging Spectroradiometer (MODIS and local water temperature collected from NOAA buoys and onshore stations to estimate submerged intertidal mussel logger temperatures. Daily SST and local water temperatures were compared to mussel logger temperatures at five study sites located along the Oregon coastline. We found that satellite-derived SSTs and local water temperatures were similarly correlated to the submerged mussel logger temperatures. This finding suggests that satellite-derived SSTs may be used in conjunction with local water temperatures to understand the temporal and spatial variation of mussel logger temperatures. While there are limitations to using satellite-derived temperature for ecological studies, including issues with temporal and spatial resolution, our results are promising.

IABP Drifting Buoy Pressure, Temperature, Position, and Interpolated Ice Velocity

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The International Arctic Buoy Programme (IABP) maintains a network of drifting buoys to provide meteorological and oceanographic data for real-time operational...

Modeling long period swell in Southern California: Practical boundary conditions from buoy observations and global wave model predictions

Science.gov (United States)

Crosby, S. C.; O'Reilly, W. C.; Guza, R. T.

2016-02-01

Accurate, unbiased, high-resolution (in space and time) nearshore wave predictions are needed to drive models of beach erosion, coastal flooding, and alongshore transport of sediment, biota and pollutants. On highly sheltered shorelines, wave predictions are sensitive to the directions of onshore propagating waves, and nearshore model prediction error is often dominated by uncertainty in offshore boundary conditions. Offshore islands and shoals, and coastline curvature, create complex sheltering patterns over the 250km span of southern California (SC) shoreline. Here, regional wave model skill in SC was compared for different offshore boundary conditions created using offshore buoy observations and global wave model hindcasts (National Oceanographic and Atmospheric Administration Wave Watch 3, WW3). Spectral ray-tracing methods were used to transform incident offshore swell (0.04-0.09Hz) energy at high directional resolution (1-deg). Model skill is assessed for predictions (wave height, direction, and alongshore radiation stress) at 16 nearshore buoy sites between 2000 and 2009. Model skill using buoy-derived boundary conditions is higher than with WW3-derived boundary conditions. Buoy-driven nearshore model results are similar with various assumptions about the true offshore directional distribution (maximum entropy, Bayesian direct, and 2nd derivative smoothness). Two methods combining offshore buoy observations with WW3 predictions in the offshore boundary condition did not improve nearshore skill above buoy-only methods. A case example at Oceanside harbor shows strong sensitivity of alongshore sediment transport predictions to different offshore boundary conditions. Despite this uncertainty in alongshore transport magnitude, alongshore gradients in transport (e.g. the location of model accretion and erosion zones) are determined by the local bathymetry, and are similar for all predictions.

A Floating Ocean Energy Conversion Device and Numerical Study on Buoy Shape and Performance

Directory of Open Access Journals (Sweden)

Ruiyin Song

2016-05-01

Full Text Available Wave and current energy can be harnessed in the East China Sea and South China Sea; however, both areas are subject to high frequencies of typhoon events. To improve the safety of the ocean energy conversion device, a Floating Ocean Energy Conversion Device (FOECD with a single mooring system is proposed, which can be towed to avoid severe ocean conditions or for regular maintenance. In this paper, the structure of the FOECD is introduced, and it includes a catamaran platform, an oscillating buoy part, a current turbine blade, hydraulic energy storage and an electrical generation part. The numerical study models the large catamaran platform as a single, large buoy, while the four floating buoys were modeled simply as small buoys. Theoretical models on wave energy power capture and efficiency were established. To improve the suitability of the buoy for use in the FOECD and its power harvesting capability, a numerical simulation of the four buoy geometries was undertaken. The shape profiles examined in this paper are cylindrical, turbinate (V-shaped and U-shaped cone with cylinder, and combined cylinder-hemisphere buoys. Simulation results reveal that the suitability of a turbinate buoy is the best of the four types. Further simulation models were carried out by adjusting the tip radius of the turbinate buoy. Three performance criteria including suitability, power harvesting capability and energy capture efficiency were analyzed. It reveals that the turbinate buoy has almost the same power harvesting capabilities and energy capture efficiency, while its suitability is far better than that of a cylindrical buoy.

A Wave Power Device with Pendulum Based on Ocean Monitoring Buoy

Science.gov (United States)

Chai, Hui; Guan, Wanchun; Wan, Xiaozheng; Li, Xuanqun; Zhao, Qiang; Liu, Shixuan

2018-01-01

The ocean monitoring buoy usually exploits solar energy for power supply. In order to improve power supply capacity, this paper proposes a wave power device according to the structure and moving character of buoy. The wave power device composes of pendulum mechanism that converts wave energy into mechanical energy and energy storage mechanism where the mechanical energy is transferred quantitatively to generator. The hydrodynamic equation for the motion of buoy system with generator devise is established based on the potential flow theory, and then the characteristics of pendulum motion and energy conversion properties are analysed. The results of this research show that the proposed wave power devise is able to efficiently and periodically convert wave energy into power, and increasing the stiffness of energy storage spring is benefit for enhancing the power supply capacity of the buoy. This study provides a theory reference for the development of technology on wave power generator for ocean monitoring buoy.

A loading/unloading buoy; Laste/losseboeye

Energy Technology Data Exchange (ETDEWEB)

Breivik, K.; Smedal, A.; Syvertsen, K.

1994-10-10

The invention relates to a buoy design for use in the offshore loading or unloading of crude oil in particular. The buoy comprises an outer buoyancy member arranged to be introduced and secured in a submerged downwardly open receiving space in a floating vessel, and a central member which is rotatably mounted in the outer member and is intended for anchoring to the sea bed and arranged for passage of medium between a transfer line which, in operation, is coupled to the lower end of the central member and a tube system on the vessel. The central member is provided with a lower extension body having an outer peripheral portion abutting on and essentially corresponding to the outer periphery of the adjacent end of the outer buoyancy member, and having a lower portion which is downwardly tapering from the outer peripheral portion. A number of fastening means for fastening of the upper ends of anchoring lines for anchoring of the buoy are fastened at intervals along the periphery of the outer peripheral portion of the extension body, and the extension body comprises at least one buoyancy chamber for buoyancy or ballast material. 6 figs.

The November 2011 irruption of buoy barnacles Dosima fascicularis ...

African Journals Online (AJOL)

Buoy barnacles not uncommonly strand in the region attached to feathers, plastic litter and other small objects, but the 2011 irruption saw exceptional numbers of unusually large colonies (average 23.5 individuals; SD 18.5), most of ... Buoy barnacles were first observed at sea off the Cape Peninsula on 2 November 2011.

Bayesian inference of earthquake parameters from buoy data using a polynomial chaos-based surrogate

KAUST Repository

Giraldi, Loic

2017-04-07

This work addresses the estimation of the parameters of an earthquake model by the consequent tsunami, with an application to the Chile 2010 event. We are particularly interested in the Bayesian inference of the location, the orientation, and the slip of an Okada-based model of the earthquake ocean floor displacement. The tsunami numerical model is based on the GeoClaw software while the observational data is provided by a single DARTⓇ buoy. We propose in this paper a methodology based on polynomial chaos expansion to construct a surrogate model of the wave height at the buoy location. A correlated noise model is first proposed in order to represent the discrepancy between the computational model and the data. This step is necessary, as a classical independent Gaussian noise is shown to be unsuitable for modeling the error, and to prevent convergence of the Markov Chain Monte Carlo sampler. Second, the polynomial chaos model is subsequently improved to handle the variability of the arrival time of the wave, using a preconditioned non-intrusive spectral method. Finally, the construction of a reduced model dedicated to Bayesian inference is proposed. Numerical results are presented and discussed.

NOAA Administrative Order 216-115: Strengthening NOAA's Research and

Science.gov (United States)

Advisory Committee Directives Management System NOAA Administrative Orders NOAA Circulars NOAA Delegations support NOAA in addressing critical science challenges, particularly those requiring integrated, holistic Quality Act (2001), the Office of Management and Budget (OMB) Circular A-11 (OMB, 2009a), the Open

An autonomous drifting buoy system for long term pCO2 observation

Science.gov (United States)

Nakano, Y.; Fujiki, T.; Wakita, M.; Azetsu-Scott, K.; Watanabe, S.

2009-04-01

Many studies have been carried out around the world to understand what happens to carbon dioxide (CO2) once it is emitted into the atmosphere, and how it relates to long-term climate change. However, the sea surface pCO2 observations on volunteer observation ships and research vessels concentrated in the North Atlantic and North Pacific. To assess the spatial and temporal variations of surface pCO2 in the global ocean, new automated pCO2 sensor which can be used in platform systems such as buoys or moorings is strongly desired. We have been developing the small drifting buoy system (diameter 250-340 mm, length 470 mm, weight 15 kg) for pCO2 measurement, with the support of the Japan EOS Promotion Program (JEPP), the Ministry of Education, Culture, Sports, Science and Technology (MEXT). The objective is to provide simplified, automated measurements of pCO2 over all the world's oceans, an essential factor in understanding how the ocean responds to climate change. The measurement principle for the pCO2 sensor is based on spectrophotometry (e.g. Lefèvre et al., 1993; Degrandpre et al., 1995). The CO2 in the surrounding seawater equilibrates with the indicator solution across the gas permeable membranes. The equilibration process causes a change of pH in the indicator solution, which results in the change of optical absorbance. The pCO2 is calculated from the optical absorbance of the pH indicator solution equilibrated with CO2 in seawater through a gas permeable membrane. In our analytical system, we used an amorphous fluoropolymer tubing form of AF-2400 by DuPontTM for the gas permeable membrane due to its high gas permeability coefficients. The measurement system of the sensor consisted mainly of a LED light source, optical fibers, a CCD detector, and a downsized PC. The measured data were transmitted to the laboratory by satellite communication (Argos system). In the laboratory experiment, we obtained a high response time (less than 2 minutes) and a precision

Numerical modelling of the HAB Energy Buoy: Stage 1

DEFF Research Database (Denmark)

Kurniawan, Adi

This report presents the results of the first stage of the project "Numerical modelling of the HAB Energy Buoy". The objectives of this stage are to develop a numerical model of the HAB Energy Buoy, a self-reacting wave energy device consisting of two heaving bodies, and to investigate a number...... and a summary of the main findings is presented. A numerical model of the HAB Energy Buoy has been developed in the frequency domain using two alternative formulations of the equations of motion. The model is capable of predicting the power capture, motion response, and power take-off loads of the device...... configuration are imposed to give a more realistic prediction of the power capture and help ensure a fair comparison. Recommendations with regard to the HAB design are finally suggested....

Satellite-tracked drifting buoy observations in the south equatorial current in the Indian Ocean

Digital Repository Service at National Institute of Oceanography (India)

Shetye, S.R.; Michael, G.S.

two buoys moved north and the third moved south. Over the open sea regime the buoys moved with a speed of approximately 30 cm/s at an angle of about 35 degrees to the left of the wind. The overall tendencies seen in the buoy drift are similar to those...

IPAB Antarctic Drifting Buoy Data, Version 1

Data.gov (United States)

National Aeronautics and Space Administration — The World Climate Research Programme (WCRP) International Programme for Antarctic Buoys (IPAB), through participating research organizations in various countries,...

Rancang Bangun Instrumen Sistem Buoy Menggunakan A-Wsn Protokol Zigbee Untuk Pengamatan Ekosistem Pesisir (Development of Buoy System Instrument using A-WSN ZigBee Protocol for Coastal Ecosystem Monitoring

Directory of Open Access Journals (Sweden)

Acta Withamana

2013-12-01

Full Text Available Luasnya perairan dan lingkungan laut yang tidak bersahabat menimbulkan tantangan tersendiri untuk diobservasi. Aktivitas observasi secara konvensional di laut, yang menggunakan kapal sebagai wahana bergerak, membutuhkan biaya yang tinggi dan tidak efisien untuk memperoleh resolusi spasial dan temporal yang diinginkan. Buoy tertambat telah lama digunakan sebagai salah satu pilihan untuk aktivitas observasi laut. Namun ukuran yang besar dari rancangan buoy yang ada pada umumnya tidak cocok untuk pengamatan ekosistem pesisir. Perkembangan teknologi semikonduktor yang pesat melahirkan konsep wireless sensor network (WSN. Komunikasi protokol ZigBee memiliki kelebihan penggunaan energi yang efisien dan kemudahan pemasangan. Riset ini dilakukan untuk mengembangkan instrumen buoy tertambat dan menguji apakah WSN dapat diaplikasikan di wilayah pesisir. Buoy tertambat yang dikembangkan memiliki kinerja yang baik dan stabil sebagai wahana instrumen. Kinerja jaringan ZigBee menunjukan tingkat keberhasilan pengiriman data sebesar 100% pada uji coba statis. Menggunakan empat buah baterai NiMH, instrumen ini dapat bekerja selama kurang lebih 39 jam untuk coordinator dan router, serta 89 jam untuk end device. Pengujian di lapangan menunjukan hasil terburuk sebesar 84.94% keberhasilan pengiriman data pada E1, dan hasil terbaik sebesar 100% keberhasilan pengiriman data pada R1 dan E3. Data suhu permukaan laut yang diterima juga dapat menggambarkan sebaran suhu permukaan di Pulau Panggang. Hasil penelitian memberikan gambaran bahwa Instrumen Sistem Buoy Menggunakan A-Wsn Protokol Zigbee sangat berpotensi untuk digunakan dalam pengamatan ekosistem pesisir. Kata kunci: instrumen, buoy tertambat, ZigBee, suhu permukaan laut, observasi pesisir   Ocean observation has become a challenge due to its vast and rough condition. The conventional observation, for example using ship as a mobile platform, is very expensive and inefficient to obtain desired spatial and temporal

United States Naval Academy Polar Science Program's Visual Arctic Observing Buoys; The IceGoat

Science.gov (United States)

Woods, J. E.; Clemente-Colon, P.; Nghiem, S. V.; Rigor, I.; Valentic, T. A.

2012-12-01

The U.S. Naval Academy Oceanography Department currently has a curriculum based Polar Science Program (USNA PSP). Within the PSP there is an Arctic Buoy Program (ABP) student research component that will include the design, build, testing and deployment of Arctic Buoys. Establishing an active, field-research program in Polar Science will greatly enhance Midshipman education and research, as well as introduce future Naval Officers to the Arctic environment. The Oceanography Department has engaged the USNA Ocean Engineering, Systems Engineering, Aerospace Engineering, and Computer Science Departments and developed a USNA Visual Arctic Observing Buoy, IceGoat1, which was designed, built, and deployed by midshipmen. The experience gained through Polar field studies and data derived from these buoys will be used to enhance course materials and laboratories and will also be used directly in Midshipman independent research projects. The USNA PSP successfully deployed IceGoat1 during the BROMEX 2012 field campaign out of Barrow, AK in March 2012. This buoy reports near real-time observation of Air Temperature, Sea Temperature, Atmospheric Pressure, Position and Images from 2 mounted webcams. The importance of this unique type of buoy being inserted into the U.S. Interagency Arctic Buoy Program and the International Arctic Buoy Programme (USIABP/IABP) array is cross validating satellite observations of sea ice cover in the Arctic with the buoys webcams. We also propose to develop multiple sensor packages for the IceGoat to include a more robust weather suite, and a passive acoustic hydrophone. Remote cameras on buoys have provided crucial qualitative information that complements the quantitative measurements of geophysical parameters. For example, the mechanical anemometers on the IABP Polar Arctic Weather Station at the North Pole Environmental Observatory (NPEO) have at times reported zero winds speeds, and inspection of the images from the NPEO cameras have showed

Meteorological and surface water observations from the Chesapeake Bay Interpretive Buoy System from 2007-04-25 to 2016-12-31 (NCEI Accession 0159578)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Meteorological and surface water observations from the Chesapeake Bay Interpretive Buoy System. Ten stations are located from the mouth of the Susquehanna river near...

Hardware design of a submerged buoy system based on electromagnetic inductive coupling

Directory of Open Access Journals (Sweden)

Song Dalei

2016-01-01

Full Text Available This paper mainly introduces the hardware design of a new type of ocean buoy for multi-scale marine dynamic process. The buoy system can collect a number of real-time marine environment data and then transmit all the data back to the landing site through wireless module. The authors mainly designed the hardware circuit of the buoy system, including data collection system, data communication system, data storage system. Due to the buoy system will complete the marine observation work continuously for at least a month, so we add the low power consumption function which can realize the intermittent work for the data collection system. This paper also introduces the electromagnetic induction coupling technology of underwater sensors, the sea surface communication network technology, etc. The system can also extends to the ecological regional anomaly monitoring and the early warning of disaster weather.

NOAA History - Main Page

Science.gov (United States)

NOAA History Banner gold bar divider home - takes you to index page about the site contacts noaa americas science and service noaa legacy 1807 - 2007 NOAA History is an intrinsic part of the history of Initiative scroll divider More NOAA History from Around the Nation scroll divider drawing of a tornado NOAA

Real-time and on-demand buoy observation system for tsunami and crustal displacement

Science.gov (United States)

Takahashi, N.; Imai, K.; Ishihara, Y.; Fukuda, T.; Ochi, H.; Suzuki, K.; Kido, M.; Ohta, Y.; Imano, M.; Hino, R.

2017-12-01

We develop real-time and on-demand buoy observation system for tsunami and crustal displacement. It is indispensable for observation of crustal displacement to understand changes of stress field related to future large earthquakes. The current status of the observation is carried out by using a vessel with an interval of a few times per a year. When a large earthquake occurs, however, we need dense or on-demand observation of the crustal displacement to grasp nature of the slow slip after the rupture. Therefore, we constructed buoy system with a buoy station, wire-end station, seafloor unit and acoustic transponders for crustal displacement, and we installed a pressure sensor on the seafloor unit and GNSS system on the buoy in addition to measurement of e distance between the buoy and the seafloor acoustic transponders. Tsunami is evaluated using GNSS data and pressure data sent from seafloor. Observation error of the GNSS is about 10 cm. The crustal displacement is estimated using pressure sensor for vertical and acoustic measurement for horizontal. Using current slack ratio of 1.58, the observation error for the measurement of the crustal displacement is about 10 cm. We repeated three times sea trials and confirmed the data acquisition with high data quality, mooring without dredging anchor in the strong sea current with a speed of 5.5 knots. Current issues to be resolved we face are removing noises on the acoustic data transmission, data transmission between the buoy and wire-end stations, electrical consumption on the buoy station and large observation error on the crustal displacement due to large slack ratio. We consider the change of the acoustic transmission for pressure data, replace of a GNSS data logger with large electrical consumption, and reduce of the slack ratio, and search method to reduce resistance of the buoy on the sea water. In this presentation, we introduce the current status of the technical development and tsunami waveforms recorded on our

Long-Term Observations of Atmospheric CO2, O3 and BrO over the Transitioning Arctic Ocean Pack-ice: The O-Buoy Chemical Network

Science.gov (United States)

Matrai, P.

2016-02-01

Autonomous, sea ice-tethered O-Buoys have been deployed (2009-2016) across the Arctic sea ice for long-term atmospheric measurements (http://www.o-buoy.org). O-Buoys (15) provide in-situ concentrations of three sentinel atmospheric chemicals, ozone, CO2 and BrO, as well as meteorological parameters and imagery, over the frozen ocean. O-Buoys were designed to transmit daily data over a period of 2 years while deployed in sea ice, as part of automated ice-drifting stations that include snow/ice measurement systems (e.g. Ice Mass Balance buoys) and oceanographic measurements (e.g. Ice Tethered Profilers). Seasonal changes in Arctic atmospheric chemistry are influenced by changes in the characteristics and presence of the sea ice vs. open water as well as air mass trajectories, especially during the winter-spring and summer-fall transitions when sea ice is melting and freezing, respectively. The O-Buoy Chemical Network provides the unique opportunity to observe these transition periods in real-time with high temporal resolution, and to compare them with those collected on land-based monitoring stations located. Due to the logistical challenges of measurements over the Arctic Ocean region, most long term, in-situ observations of atmospheric chemistry have been made at coastal or island sites around the periphery of the Arctic Ocean, leaving large spatial and temporal gaps that O-Buoys overcome. Advances in floatation, communications, power management, and sensor hardware have been made to overcome the challenges of diminished Arctic sea ice. O-Buoy data provide insights into enhanced seasonal, interannual and spatial variability in atmospheric composition, atmospheric boundary layer control on the amount of halogen activation, enhancement of the atmospheric CO2 signal over the more variable and porous pack ice, and to develop an integrated picture of the coupled ocean/ice/atmosphere system. As part of the Arctic Observing Network, we provide data to the community (www.aoncadis.org).

Downwelling radiation at the sea surface in the central Mediterranean: one year of shortwave and longwave irradiance measurements on the Lampedusa buoy

Science.gov (United States)

di Sarra, Alcide; Bommarito, Carlo; Anello, Fabrizio; Di Iorio, Tatiana; Meloni, Daniela; Monteleone, Francesco; Pace, Giandomenico; Piacentino, Salvatore; Sferlazzo, Damiano

2017-04-01

An oceanographic buoy has been developed and deployed in August 2015 about 3.3 miles South West of the island of Lampedusa, at 35.49°N, 12.47°E, in the central Mediterranean Sea. The buoy was developed within the Italian RITMARE flagship project, and contributes to the Italian fixed-point oceanographic observation network. The buoy is an elastic beacon type and is intended to study air-sea interactions, propagation of radiation underwater, and oceanographic properties. The buoy measurements complement the atmospheric observations carried out at the long-term Station for Climate Observations on the island of Lampedusa (www.lampedusa.enea.it; 35.52°N, 12.63°E), which is located about 15 km E-NE of the buoy. Underwater instruments and part of the atmospheric sensors are presently being installed on the buoy. Measurements of downwelling shortwave, SW, and longwave, LW, irradiance, have been made since September 2015 with a Kipp and Zonen CMP21 pyranometer and a Kipp and Zonen CGR4 pyrgeometer, respectively. The radiometers are mounted on a small platform at about 7 m above sea level, on an arm protruding southward of the buoy. High time resolution data, at 1 Hz, have been acquired since December 2015, together with the sensors' attitude. Data from the period December 2015-December 2016 are analyzed and compared with measurements made on land at the Station for Climate Observations at 50 m above mean sea level. This study aims at deriving high quality determinations of the downwelling radiation over sea in the central Mediterranean. The following aspects will be discussed: - representativeness of time averaging of irradiance measurements over moving platforms; - comparison of downwelling irradiance measurements made over land and over ocean, and identification of possible correction strategies to infer irradiances over the ocean from close by measurements made over land; - influence of dome cleaning on the quality of measurements; - envisaging possible corrections

FOULING ORGANISMS OF BUOYS WITHIN MAKHACHKALA SEAPORT

Directory of Open Access Journals (Sweden)

C. N. Imachova

2011-01-01

Full Text Available It is investigated biofouling buoys within Makhachkala seaport. Seasonal dynamics of development of community, structure species and trophic structure is revealed. It is established vertical zonality in distribution of fouling.

Rip current monitoring using GPS buoy system

Science.gov (United States)

Song, DongSeob; Kim, InHo; Kang, DongSoo

2014-05-01

The occurrence of rip current in the Haeundae beach, which is one of the most famous beaches in South Korea, has been threatening beach-goers security in summer season annually. Many coastal scientists have been investigating rip currents by using field observations and measurements, laboratory measurements and wave tank experiments, and computer and numerical modeling. Rip current velocity is intermittent and may rapidly increase within minutes due to larger incoming wave groups or nearshore circulation instabilities. It is important to understand that changes in rip current velocity occur in response to changes in incoming wave height and period as well as changes in water level. GPS buoys have been used to acquire sea level change data, atmospheric parameters and other oceanic variables in sea for the purposes of vertical datum determination, tide correction, radar altimeter calibration, ocean environment and marine pollution monitoring. Therefore, we adopted GPS buoy system for an experiment which is to investigate rip current velocity; it is sporadic and may quickly upsurge within minutes due to larger arriving wave groups or nearshore flow uncertainties. In this study, for high accurate positioning of buy equipment, a Satellite Based Argumentation System DGPS data logger was deployed to investigate within floating object, and it can be acquired three-dimensional coordinate or geodetic position of buoy with continuous NMEA-0183 protocol during 24 hours. The wave height measured by in-situ hydrometer in a cross-shore array clearly increased before and after occurrence of rip current, and wave period also was lengthened around an event. These results show that wave height and period correlate reasonably well with long-shore current interaction in the Haeundae beach. Additionally, current meter data and GPS buoy data showed that rip current velocities, about 0.2 m/s, may become dangerously strong under specific conditions. Acknowledgement This research was

NOAA Big Data Partnership RFI

Science.gov (United States)

de la Beaujardiere, J.

2014-12-01

In February 2014, the US National Oceanic and Atmospheric Administration (NOAA) issued a Big Data Request for Information (RFI) from industry and other organizations (e.g., non-profits, research laboratories, and universities) to assess capability and interest in establishing partnerships to position a copy of NOAA's vast data holdings in the Cloud, co-located with easy and affordable access to analytical capabilities. This RFI was motivated by a number of concerns. First, NOAA's data facilities do not necessarily have sufficient network infrastructure to transmit all available observations and numerical model outputs to all potential users, or sufficient infrastructure to support simultaneous computation by many users. Second, the available data are distributed across multiple services and data facilities, making it difficult to find and integrate data for cross-domain analysis and decision-making. Third, large datasets require users to have substantial network, storage, and computing capabilities of their own in order to fully interact with and exploit the latent value of the data. Finally, there may be commercial opportunities for value-added products and services derived from our data. Putting a working copy of data in the Cloud outside of NOAA's internal networks and infrastructures should reduce demands and risks on our systems, and should enable users to interact with multiple datasets and create new lines of business (much like the industries built on government-furnished weather or GPS data). The NOAA Big Data RFI therefore solicited information on technical and business approaches regarding possible partnership(s) that -- at no net cost to the government and minimum impact on existing data facilities -- would unleash the commercial potential of its environmental observations and model outputs. NOAA would retain the master archival copy of its data. Commercial partners would not be permitted to charge fees for access to the NOAA data they receive, but

Analysis of Floating Buoy of a Wave Power Generating Jack-Up Platform Haiyuan 1

Directory of Open Access Journals (Sweden)

Date Li

2013-01-01

Full Text Available The paper focuses on the performance of floating buoys of a wave power generating jack-up platform called Haiyuan 1, in order to work out the optimum designed draft and hydraulic pressure. The performance of the buoy, especially its delivered power, is an important issue in designing oscillating buoy wave energy converter. In this case, major factors affect the performance including incident wave, designed draft, and hydraulic pressure on the buoy. To find out the relationship among design draft, hydraulic pressure, and delivered power, the key point is to precisely estimate wave induced motion of the buoy. Three-dimensional theory and time domain method based on potential theory were adopted in the paper. Unlike ship and other floating structures, motion of wave energy converter (WEC buoy in wave will be weakened because of energy take-off, which will cause significant draft changing with time. Thus, draft changing should be taken into consideration as well. In addition, green water problem occurs more frequently than that in ship and other floating structures and also might the reduce delivered power. Therefore, green water problem will also be taken into account when choosing the optimum designed draft and hydraulic pressure. The calculation indicates that the optimum designed draft is 0.935 m, while the optimum designed hydraulic pressure is 30 kN.

NOAA FOIA Reading Room

Science.gov (United States)

Reports NOAA Organizational Chart [Back to Top] Major Information Systems NOAA Online Library The NOAA Library maintains publications on microfiche, microfilm, compact discs, and databases that support publications can be accessed from this link. NOAA's mission statement, strategic plan, organizational structure

Meteorological buoy measurements in the Iceland Sea, 2007-2009

Science.gov (United States)

Nína Petersen, Guðrún

2017-10-01

The Icelandic Meteorological Office (IMO) conducted meteorological buoy measurements in the central Iceland Sea in the time period 2007-2009, specifically in the northern Dreki area on the southern segment of the Jan Mayen Ridge. Due to difficulties in deployment and operations, in situ measurements in this region are sparse. Here the buoy, deployment and measurements are described with the aim of giving a future user of the data set information that is as comprehensive as possible. The data set has been quality-checked, suspect data removed and the data set made publicly available from PANGAEA Data Publisher (PANGAEA.876206" target="_blank">https://doi.org/10.1594/PANGAEA.876206).

Analytical Study on an Oscillating Buoy Wave Energy Converter Integrated into a Fixed Box-Type Breakwater

Directory of Open Access Journals (Sweden)

Xuanlie Zhao

2017-01-01

Full Text Available An oscillating buoy wave energy converter (WEC integrated to an existing box-type breakwater is introduced in this study. The buoy is installed on the existing breakwater and designed to be much smaller than the breakwater in scale, aiming to reduce the construction cost of the WEC. The oscillating buoy works as a heave-type WEC in front of the breakwater towards the incident waves. A power take-off (PTO system is installed on the topside of the breakwater to harvest the kinetic energy (in heave mode of the floating buoy. The hydrodynamic performance of this system is studied analytically based on linear potential-flow theory. Effects of the geometrical parameters on the reflection and transmission coefficients and the capture width ratio (CWR of the system are investigated. Results show that the maximum efficiency of the energy extraction can reach 80% or even higher. Compared with the isolated box-type breakwater, the reflection coefficient can be effectively decreased by using this oscillating buoy WEC, with unchanged transmission coefficient. Thus, the possibility of capturing the wave energy with the oscillating buoy WEC integrated into breakwaters is shown.

Oceansat-2 and RAMA buoy winds: A comparison

Indian Academy of Sciences (India)

rate Numerical Weather Prediction (NWP) model analysis over the data sparse oceanic region. Sea ... Among the three tropical oceans, Pacific, Atlantic ..... which obviously causes bias. ... side, and will increase mean buoy winds relative.

NOAA Point Shapefile - ROV transects - Locations of underwater photos and/or video collected in the US Caribbean - south of Vieques and in and around the Grand Reserve northeast of Puerto Rico (2013)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This point shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

On theory and simulation of heaving-buoy wave-energy converters with control

Energy Technology Data Exchange (ETDEWEB)

Eidsmoen, H.

1995-12-01

Heaving-buoy wave-energy converters with control were studied. The buoy is small compared to the wavelength. The resonance bandwidth is then narrow and the energy conversion in irregular waves can be significantly increased if the oscillatory motion of the device can be actively controlled, and the power output from the converter will vary less with time than the wave power transport. A system of two concentric cylinders of the same radius, oscillating in heave only, is analysed in the frequency-domain. The mathematical model can be used to study a tight-moored buoy, as well as a buoy reacting against a submerged body. The knowledge of the frequency-domain hydrodynamic parameters is used to develop frequency-domain and time-domain mathematical models of heaving-buoy wave energy converters. The main emphasis is on using control to maximize the energy production and to protect the machinery of the wave-energy converter in very large waves. Three different methods are used to study control. (1) In the frequency-domain explicit analytical expressions for the optimum oscillation are found, assuming a continuous sinusoidal control force, and from these expressions the optimum time-domain oscillation can be determined. (2) The second method uses optimal control theory, using a control variable as the instrument for the optimisation. Unlike the first method, this method can include non-linearities. But this method gives numerical time series for the state variables and the control variable rather than analytical expressions for the optimum oscillation. (3) The third method is time-domain simulation. Non-linear forces are included, but the method only gives the response of the system to a given incident wave. How the different methods can be used to develop real-time control is discussed. Simulations are performed for a tight-moored heaving-buoy converter with a high-pressure hydraulic system for energy production and motion control. 147 refs., 38 figs., 22 tabs.

A study of the optimum draft of multiple resonance power buoys for maximizing electric power production

Directory of Open Access Journals (Sweden)

Hyuck-Min Kweon

2014-12-01

Full Text Available To maximize electric power production using wave energy extractions from resonance power buoys, the maximum motion displacement spectra of the buoys can primarily be obtained under a given wave condition. In this study, wave spectra observed in shoaling water were formulated. Target resonance frequencies were established from the arithmetic means of modal frequency bands and the peak frequencies. The motion characteristics of the circular cylindrical power buoys with corresponding drafts were then calculated using numerical models without considering PTO damping force. Results showed that the heave motions of the power buoys in shoaling waters with insufficient drafts produced greater amplification effects than those in deep seas with sufficient drafts.

Significant Wave Heights, Periods, and Directions, and Air and Sea Temperature Data from a Directional Waverider Buoy off Diamond Head, Oahu during March-April 2000 (NODC Accession 0000475)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — A directional waverider buoy located about one nautical mile south of Diamond Head, Oahu, provided an approximately 10-day time series of wave characteristics and...

Control strategies to optimise power output in heave buoy energy convertors

International Nuclear Information System (INIS)

Abu Zarim, M A U A; Sharip, R M

2013-01-01

Wave energy converter (WEC) designs are always discussed in order to obtain an optimum design to generate the power from the wave. Output power from wave energy converter can be improved by controlling the oscillation in order to acquire the interaction between the WEC and the incident wave.The purpose of this research is to study the heave buoys in the interest to generate an optimum power output by optimising the phase control and amplitude in order to maximise the active power. In line with the real aims of this study which investigate the theory and function and hence optimise the power generation of heave buoys as renewable energy sources, the condition that influence the heave buoy must be understand in which to propose the control strategies that can be use to control parameters to obtain optimum power output. However, this research is in an early stage, and further analysis and technical development is require

Meteorological and oceanographic data collected from the National Data Buoy Center Coastal-Marine Automated Network (C-MAN) and moored (weather) buoys

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The National Data Buoy Center (NDBC) established the Coastal-Marine Automated Network (C-MAN) for the National Weather Service in the early 1980's. NDBC has...

Estimación de la temperatura superficial del mar desde datos satelitales NOAA-AVHRR: validación de algoritmos aplicados a la costa norte de Chile Sea surface temperature estimation from NOAA-AVHRR satellite data: validation of algorithms applied to the northern coast of Chile

Directory of Open Access Journals (Sweden)

Juan C Parra

2011-01-01

Full Text Available Se aplicaron y compararon tres algoritmos del tipo Split-Window (SW, que permitieron estimar la temperatura superficial del mar desde datos aportados por el sensor Advanced Very High Resolution Radiometer (AVHRR, a bordo de la serie de satélites de la National Oceanic and Atmospheric Administration (NOAA. La validación de los algoritmos fue lograda por comparación con mediciones in situ de temperatura del mar provenientes de una boya hidrográfica, ubicada frente a la costa norte de Chile (21°21'S, 70°6'W; Región de Tarapacá, a 3 km de la costa aproximadamente. Los mejores resultados se obtuvieron por aplicación del algoritmo propuesto por Sobrino & Raissouni (2000. En efecto, diferencias entre la temperatura medida in situ y la estimada por SW, permitieron evidenciar una media y desviación estándar de 0,3° y 0,8°K, respectivamente.The present article applies and compares three split-window (SW algorithms, which allowed the estimation of sea surface temperature using data obtained from the Advanced Very High Resolution Radiometer (AVHRR on board the National Oceanic and Atmospheric Administration (NOAA series of satellites. The algorithms were validated by comparison with in situ measurements of sea temperature obtained from a hydrographical buoy located off the coast of northern Chile (21°21'S, 70°6'W; Tarapacá Región, approximately 3 km from the coast. The best results were obtained by the application of the algorithm proposed by Sobrino & Raissouni (2000. The mean and standard deviation of the differences between the temperatures measured in situ and those estimated by SW were 0.3° and 0.8°K, respectively.

Buoy observation for typhoon in southeast of Taiwan during summers of 2015 and 2016

Science.gov (United States)

Hsieh, C. Y.; Yang, Y. J.; Chang, M. H.; Chang, H. I.; Jan, S.; Wei, C. L.

2016-12-01

The western North Pacific is the most active area for the typhoon in the world, and typhoon caused disasters in this area. The marine observations are very important for the typhoon prediction. National Taiwan University (NTU) was developed a real-time data buoy system for typhoon observation. This buoy not only collected meteorological data, but also measured the temperature and salinity profiles of ocean's upper 500 m. The buoys, NTU1 and NTU2, were moored about 375 km and 175 km, respectively, from the southernmost tip of Taiwan. In summer of 2015, NTU1 buoy equipped with temperature and humidity probes, wind sensor, pyranometer, barometer, conductivity-temperature-depth (CTD) recorders, and temperature-pressure recorders. In summer of 2016, NTU1 and NTU2 buoys installed more instruments, such as rain gauge, net radiometer, and current meter, etc. During the observation period, there were three typhoons (Chan-hom, Soudler, and Goni) in 2015 and one typhoon (Nepartak) in 2016 approached buoy. Goni passed south and west side of NTU1 and the air pressure dropped around 25 hPa. Nepartak passed north side of NTU1 and south side of NTU2. The minimum distance between center of typhoon and NTU1 and NTU2 were about 11.48 km and 4.85 km, respectively. The NTU2 buoy recorded a maximum wind gust of 44 m/s, thickness of mixed layer increased to 120 m, and sea-surface temperature dropped 3 °C. In addition, the typhoon induced the near inertial internal motion for a couple of days. Applied the in-situ data to derive the net heat flux and its variations were from 600 W/m2 to -1000W/m2 during typhoon period. It indicate that the ocean provide energy to typhoon around this area. Moreover, the sum of sensible and latent heat flux calculated from observation data was 4.5 times than satellite-based products.

NOAA History - About This Site

Science.gov (United States)

NOAA History Banner gold bar divider home - takes you to index page about the site contacts noaa - takes you to the noaa home page search this site white divider about this site The NOAA History site is the result of the work of many individuals throughout 3d history page NOAA who have been inspired by

Meteorological buoy measurements in the Iceland Sea, 2007–2009

Directory of Open Access Journals (Sweden)

G. N. Petersen

2017-10-01

Full Text Available The Icelandic Meteorological Office (IMO conducted meteorological buoy measurements in the central Iceland Sea in the time period 2007–2009, specifically in the northern Dreki area on the southern segment of the Jan Mayen Ridge. Due to difficulties in deployment and operations, in situ measurements in this region are sparse. Here the buoy, deployment and measurements are described with the aim of giving a future user of the data set information that is as comprehensive as possible. The data set has been quality-checked, suspect data removed and the data set made publicly available from PANGAEA Data Publisher (https://doi.org/10.1594/PANGAEA.876206.

NOAA Miami Regional Library > Home

Science.gov (United States)

Library Collections Open Access Resources Research Tools E-resources NOAA S. and NOAA N.E. Library Institutional Repository DIVE INTO About the Library | Collections | Research Tools | Library Services & NOAA Miami Regional Library @ AOML & NHC NOAA Miami Regional Library at National Hurricane

NOAA National Deep-Sea Coral and Sponge Database 1842-Present

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA's Deep-Sea Coral Research and Technology Program (DSC-RTP) is compiling a national geodatabase of the known locations of deep-sea corals and sponges in U.S....

MADIS Maritime Product

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Martime data includes NOAA and Non-NOAA ship and buoy data that covers the globe. The Coastal-Marine Automated Network (C-MAN) a bouy network maintained by the...

An overview of a moored ocean data buoy programme

Digital Repository Service at National Institute of Oceanography (India)

Nayak, M.R.

This paper addresses the rationale. history, strategy and management techniques used in the developmcnt of NIO oceanographic data buoy programme. The system is used for short term as well as long term oceanographic observations. The technical...

GRIP NOAA GLOBAL HAWK IN-FLIGHT TURBULENCE SENSOR (GHIS) V1

Data.gov (United States)

National Aeronautics and Space Administration — The NOAA Global Hawk In-flight Turbulence Sensor (GHIS) instrument measures acceleration at the location of the instrument. Two accelerometers (2g and 5g full scale)...

Drifting buoy data observed during 1992 and assembled by the Responsible National Oceanographic Data Center (RNODC) for Drifting Buoy Data (NODC Accession 9300091)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Physical and meteorological data were collected from drifting buoys from a World-Wide distribution from 01 January 1992 to 31 December 1992. Data were processed by...

33 CFR 149.321 - How many ring life buoys must be on each deepwater port?

Science.gov (United States)

2010-07-01

... 33 Navigation and Navigable Waters 2 2010-07-01 2010-07-01 false How many ring life buoys must be on each deepwater port? 149.321 Section 149.321 Navigation and Navigable Waters COAST GUARD... EQUIPMENT Lifesaving Equipment Manned Deepwater Port Requirements § 149.321 How many ring life buoys must be...

NOAA ENC Direct to GIS

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA's Electronic Navigational Charts (NOAA ENCs) have been developed to support the marine transportation infrastructure and coastal management. The NOAA ENCs are...

UpTempO Buoys for Understanding and Prediction

Science.gov (United States)

2015-09-30

warming and fall cooling, and interannually as sea ice retreats and the warming season lengthens . The effort is a contribution to the multi-investigator...trajectory through late September, and time series of buoy thermistors (upper) and the 4 m depth salinity sensor time series (lower). Various stages in

MONITORING HIGH-FREQUENCY OCEAN SIGNALS USING LOW-COST GNSS/IMU BUOYS

Directory of Open Access Journals (Sweden)

Y.-L. Huang

2016-06-01

Full Text Available In oceans there are different ocean signals covering the multi-frequencies including tsunami, meteotsunami, storm surge, as sea level change, and currents. These signals have the direct and significant impact on the economy and life of human-beings. Therefore, measuring ocean signals accurately becomes more and more important and necessary. Nowadays, there are many techniques and methods commonly used for monitoring oceans, but each has its limitation. For example, tide gauges only measure sea level relative to benchmarks and are disturbed unevenly, and satellite altimeter measurements are not continuous and inaccurate near coastal oceans. In addition, high-frequency ocean signals such as tsunami and meteotsunami cannot be sufficiently detected by 6-minutes tide gauge measurements or 10-day sampled altimetry data. Moreover, traditional accelerometer buoy is heavy, expensive and the low-frequency noise caused by the instrument is unavoidable. In this study, a small, low-cost and self-assembly autonomous Inertial Measurement Unit (IMU that independently collects continuous acceleration and angular velocity data is mounted on a GNSS buoy to provide the positions and tilts of the moving buoy. The main idea is to integrate the Differential GNSS (DGNSS or Precise Point Positioning (PPP solutions with IMU data, and then evaluate the performance by comparing with in situ tide gauges. The validation experiments conducted in the NCKU Tainan Hydraulics Laboratory showed that GNSS and IMU both can detect the simulated regular wave frequency and height, and the field experiments in the Anping Harbor, Tainan, Taiwan showed that the low-cost GNSS buoy has an excellent ability to observe significant wave heights in amplitude and frequency.

USVI 2011, Ground Validation ROV Transect Lines, NOAA Ship Nancy Foster

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

USVI 2011, Ground Validation ROV Transect Points, NOAA Ship Nancy Foster

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

Determination of wave direction using an orbital following buoy

Digital Repository Service at National Institute of Oceanography (India)

Fernandes, A.A.; Almeida, A.M.; Vaithiyanathan, R.; Vethamony, P.

Software has been developed in FORTRAN language using a personal computer for the determination of wave direction from time series measurements of heave, pitch and roll of an orbital following buoy. The method of digital band pass filtering describ...

Creating a More Inclusive Talent Pool for the GeoSciences in NOAA Mission Fields:

Science.gov (United States)

Rousseau, J.; Trotman, A. A.

2014-12-01

The National Oceanic and Atmospheric Administration (NOAA) Educational Partnership Program (EPP) with Minority Serving Institutions (MSI) is recognized as a model federal Science, Technology, Engineering, and Mathematics, (STEM) education investment. The EPP has a premier goal of increasing the numbers of students, especially from underrepresented communities, who are trained and awarded degrees in NOAA mission-relevant STEM fields. This goal is being achieved through awards to support undergraduate and graduate level student scholarships and to enhance NOAA mission-relevant education, research and internships at EPP Cooperative Science Centers located at MSIs. The internships allow undergraduate students to gain technical experience in STEM fields while gaining an understanding of a science mission agency such as NOAA. EPP has built evidence supporting the value of internships with its Undergraduate Scholarship Program (USP). Program metrics are used to refine and improve the internship to ensure student success. Scholarships are competitively awarded and requires applicants to submit a personal statement detailing the NOAA-relevant professional experience the applicant seeks to acquire, and gauges the depth of understanding of the work of NOAA.A focus is the EPP USP Student Internship at NOAA, which has two training phases. The first occurs at NOAA HQ in Maryland and incorporates exposure to NOAA professional culture including mentoring and professional development for scholarship recipients. The second occurs at NOAA facilities in the 50 states and US Territories. The internship projects are conducted under the supervision of a NOAA mentor and allow the scholars to: acquire increased science and technology skills: be attached to a research group and participate in a research activity as part of the team; and, acquire practical experience and knowledge of the day-to-day work of the NOAA facility. EPP has recently initiated the Experiential Research and Training

NOAA - National Oceanic and Atmospheric Administration

Science.gov (United States)

Click to look up weather forecast by City, State Active Weather Alerts Home NOAA Corporate Finance and NOAA Corporate Finance and Administrative Services Offices Sapelo Island Lighthouse. Sapelo Island . NOAA Corporate Finance and Administrative Services offices strive to deliver quality services to NOAA's

Accuracy assessment of NOAA gridded daily reference evapotranspiration for the Texas High Plains

Science.gov (United States)

Moorhead, Jerry; Gowda, Prasanna H.; Hobbins, Michael; Senay, Gabriel; Paul, George; Marek, Thomas; Porter, Dana

2015-01-01

The National Oceanic and Atmospheric Administration (NOAA) provides daily reference evapotranspiration (ETref) maps for the contiguous United States using climatic data from North American Land Data Assimilation System (NLDAS). This data provides large-scale spatial representation of ETref, which is essential for regional scale water resources management. Data used in the development of NOAA daily ETref maps are derived from observations over surfaces that are different from short (grass — ETos) or tall (alfalfa — ETrs) reference crops, often in nonagricultural settings, which carries an unknown discrepancy between assumed and actual conditions. In this study, NOAA daily ETos and ETrs maps were evaluated for accuracy, using observed data from the Texas High Plains Evapotranspiration (TXHPET) network. Daily ETos, ETrs and the climatic data (air temperature, wind speed, and solar radiation) used for calculating ETref were extracted from the NOAA maps for TXHPET locations and compared against ground measurements on reference grass surfaces. NOAA ETrefmaps generally overestimated the TXHPET observations (1.4 and 2.2 mm/day ETos and ETrs, respectively), which may be attributed to errors in the NLDAS modeled air temperature and wind speed, to which reference ETref is most sensitive. Therefore, a bias correction to NLDAS modeled air temperature and wind speed data, or adjustment to the resulting NOAA ETref, may be needed to improve the accuracy of NOAA ETref maps.

Review of 5kW wave energy LOPF buoy design study and test

DEFF Research Database (Denmark)

Margheritini, Lucia

The purpose of this project was to document the mechanical power production against a target power curve of a 5kW grid connected wave energy buoy in Nissum Bredning at Helligsø. This test site is typically used for open sea testing of scale 1:10 devices in irregular waves. In order to better adapt...... to the moderate wave height, the buoy was down sized by a factor of 3 and a new lower target power curve for the buoy was agreed to. Downsizing the project also had the advantage that it is more cost effective and fast to experiment with small wave energy devices than with big devices, at an early development...... stage, in line with the TRL and four phases development (proof of concept, design and feasibility study, field trials and half or full‐scale trials) promoted by AAU and supported by the marine renewable energy sector. To complement this, the IEC 114 standards define 3 stages of testing (1=small scale...

Wave parameters comparisons between High Frequency (HF) radar system and an in situ buoy: a case study

Science.gov (United States)

Fernandes, Maria; Alonso-Martirena, Andrés; Agostinho, Pedro; Sanchez, Jorge; Ferrer, Macu; Fernandes, Carlos

2015-04-01

direction) were obtained during 2013 and 2014 from one 13.5 MHz CODAR SeaSonde radar station from Hydrographic Institute, located in Espichel Cape (Portugal). These data were compared with those obtained from one wave buoy Datawell Directional Waverider, also from Hydrographic Institute, moored inbound Sines (Portugal) at 100 m depth. For this first approach, was assumed that all the waves are in a deep water situation. Results showed that during high energetic periods, the HF radar system revealed a good correlation with wave buoy data following the bulk wave parameters gradient variations.

An experimental study of the effect of mooring systems on the dynamics of a SPAR buoy-type floating offshore wind turbine

Directory of Open Access Journals (Sweden)

Sinpyo Hong

2015-05-01

Full Text Available An experimental study of the effect of mooring systems on the dynamics of a SPAR buoy-type floating offshore wind turbine is presented. The effects of the Center of Gravity (COG, mooring line spring constant, and fair-lead location on the turbine’s motion in response to regular waves are investigated. Experimental results show that for a typical mooring system of a SPAR buoy-type Floating Offshore Wind Turbine (FOWT, the effect of mooring systems on the dynamics of the turbine can be considered negligible. However, the pitch decreases notably as the COG increases. The COG and spring constant of the mooring line have a negligible effect on the fairlead displacement. Numerical simulation and sensitivity analysis show that the wind turbine motion and its sensitivity to changes in the mooring system and COG are very large near resonant frequencies. The test results can be used to validate numerical simulation tools for FOWTs.

Method and system for connecting a loading buoy to a floating vessel. Fremgangsmte og system for tilkopling av en lastebye til et flytende farty

Energy Technology Data Exchange (ETDEWEB)

Breivik, K.; Kleppest, H.; Smedal, A.

1994-07-04

The invention deals with a method and a system for connecting a submerged loading/unloading buoy to a submerged receiving space in a floating vessel, for transfer of a medium, especially oil, to or from the vessel, wherein the buoy is anchored to the sea bed and is connected to a transfer line for medium. According to one variant of the method, a sink line is lowered from the vessel through the receiving space, an auxiliary buoy being attached to the sink line end, possible via an additional line, and the auxiliary buoy being caused to come to the water surface. A suitably marked pick-up line, which is connected to the buoy, is taken up and connected to the sink line, whereafter the vessel by a positioning means is moved into position above the submerged buoy and said lines are pulled up through the receiving space, so that the buoy is hoisted up and moved to a locking position therein, whereafter the buoy is locked in place in the receiving space. The vessel is provided with a hoisting means to hoist up said lines and the buoy, and also with a service shaft connecting the receiving space to the deck of the vessel. 9 figs.

Current components, physical, ocean circulation, wind circulation, and other data from moored buoys, CTD casts, drifting buoys, and in situ wind recorders from AIRCRAFT and other platforms from the North Atlantic Ocean and other locations as part of the Seasonal Response of the Equatorial Atlantic Experiment/Français Océan et Climat dans l'Atlantique Equatorial (SEQUAL/FOCAL) project from 1980-01-25 to 1985-12-18 (NODC Accession 8700111)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Current components, physical, ocean circulation, wind circulation, and other data were collected from moored buoys, CTD casts, drifting buoys, and in situ wind...

Drifting buoy data observed during 1985 through 1989 and assembled by the Responsible National Oceanographic Data Center (RNODC) for Drifting Buoy Data (NODC Accession 9100057)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Physical and meteorological data were collected from drifting buoys from a World-Wide distribution from 2 January 1985 to 31 December 1989. Data were processed by...

A maximum power point tracking algorithm for buoy-rope-drum wave energy converters

Science.gov (United States)

Wang, J. Q.; Zhang, X. C.; Zhou, Y.; Cui, Z. C.; Zhu, L. S.

2016-08-01

The maximum power point tracking control is the key link to improve the energy conversion efficiency of wave energy converters (WEC). This paper presents a novel variable step size Perturb and Observe maximum power point tracking algorithm with a power classification standard for control of a buoy-rope-drum WEC. The algorithm and simulation model of the buoy-rope-drum WEC are presented in details, as well as simulation experiment results. The results show that the algorithm tracks the maximum power point of the WEC fast and accurately.

Dynamic analysis of propulsion mechanism directly driven by wave energy for marine mobile buoy

Science.gov (United States)

Yu, Zhenjiang; Zheng, Zhongqiang; Yang, Xiaoguang; Chang, Zongyu

2016-07-01

Marine mobile buoy(MMB) have many potential applications in the maritime industry and ocean science. Great progress has been made, however the technology in this area is far from maturity in theory and faced with many difficulties in application. A dynamic model of the propulsion mechanism is very necessary for optimizing the parameters of the MMB, especially with consideration of hydrodynamic force. The principle of wave-driven propulsion mechanism is briefly introduced. To set a theory foundation for study on the MMB, a dynamic model of the propulsion mechanism of the MMB is obtained. The responses of the motion of the platform and the hydrofoil are obtained by using a numerical integration method to solve the ordinary differential equations. A simplified form of the motion equations is reached by omitting terms with high order small values. The relationship among the heave motion of the buoy, stiffness of the elastic components, and the forward speed can be obtained by using these simplified equations. The dynamic analysis show the following: The angle of displacement of foil is fairly small with the biggest value around 0.3 rad; The speed of mobile buoy and the angle of hydrofoil increased gradually with the increase of heave motion of buoy; The relationship among heaven motion, stiffness and attack angle is that heave motion leads to the angle change of foil whereas the item of speed or push function is determined by vertical velocity and angle, therefore, the heave motion and stiffness can affect the motion of buoy significantly if the size of hydrofoil is kept constant. The proposed model is provided to optimize the parameters of the MMB and a foundation is laid for improving the performance of the MMB.

NOAA Workforce Management Office

Science.gov (United States)

Management Fellows (PMFs) Program Coordination Office - Leadership Development Program (PCO-LDP) Employee (NRAP) Presidential Management Fellows (PMFs) Program Coordination Office - Leadership Development ) NOAA Leadership Seminar (NLS) NOAA Rotational Assignment Program (NRAP) Presidential Management Fellows

75 FR 5566 - NOAA Cooperative Institutes (CIs): (1) A CI To Support NOAA Research Facilities in the Pacific...

Science.gov (United States)

2010-02-03

...-02] NOAA Cooperative Institutes (CIs): (1) A CI To Support NOAA Research Facilities in the Pacific..., National Oceanic and Atmospheric Administration (NOAA), Department of Commerce. ACTION: Notice; extension... Research (OAR) published a notice of availability of funds to establish three new NOAA cooperative...

Impact of Scatterometer Ocean Wind Vector Data on NOAA Operations

Science.gov (United States)

Jelenak, Z.; Chang, P.; Brennan, M. J.; Sienkiewicz, J. M.

2015-12-01

Near real-time measurements of ocean surface vector winds (OSVW), including both wind speed and direction from non-NOAA satellites, are being widely used in critical operational NOAA forecasting and warning activities. The scatterometer wind data data have had major operational impact in: a) determining wind warning areas for mid-latitude systems (gale, storm,hurricane force); b) determining tropical cyclone 34-knot and 50-knot wind radii. c) tracking the center location of tropical cyclones, including the initial identification of their formation. d) identifying and warning of extreme gap and jet wind events at all latitudes. e) identifying the current location of frontal systems and high and low pressure centers. f) improving coastal surf and swell forecasts Much has been learned about the importance and utility of satellite OSVW data in operational weather forecasting and warning by exploiting OSVW research satellites in near real-time. Since December 1999 when first data from QuikSCAT scatterometer became available in near real time NOAA operations have been benefiting from ASCAT scatterometer observations on MetOp-A and B, Indian OSCAT scatterometer on OceanSat-3 and lately NASA's RapidScat mission on International Space Station. With oceans comprising over 70 percent of the earth's surface, the impacts of these data have been tremendous in serving society's needs for weather and water information and in supporting the nation's commerce with information for safe, efficient, and environmentally sound transportation and coastal preparedness. The satellite OSVW experience that has been gained over the past decade by users in the operational weather community allows for realistic operational OSVW requirements to be properly stated for future missions. Successful model of transitioning research data into operation implemented by Ocean Winds Team in NOAA's NESDIS/STAR office and subsequent data impacts will be presented and discussed.

System for Monitoring, Determining, and Reporting Directional Spectra of Ocean Surface Waves in Near Realtime from a Moored Buoy

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — A moored buoy floating at the ocean surface and anchored to the seafloor precisely measures acceleration, pitch, roll, and Earth's magnetic flux field of the buoy...

Response of surface buoy moorings in steady and wave flows

Digital Repository Service at National Institute of Oceanography (India)

Anand, N.M.; Nayak, B.U.; SanilKumar, V.

A numerical model has been developed to evaluate the dynamics of surface buoy mooring systems under wave and current loading. System tension response and variation of tension in the mooring line at various depths have been evaluated for deep water...

Oceanographic temperature and salinity measurements collected using drifting buoys in the Arctic Ocean from 2003 to 2006 (NODC Accession 0014672)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Oceanographic temperature and salinity measurements collected using drifting buoys in the Arctic Ocean. Data from JAMSTEC drifting buoys which were deployed both as...

NOAA Workforce Management Office - About Us

Science.gov (United States)

Agency's mission. The WFMO provides NOAA-wide leadership to workforce management functions including * WorkLife Center * WebTA * New Employee Info * Separation Info Workforce Management Office (WFMO) Serving accomplishment of the NOAA mission and the Nation's interests. The NOAA Workforce Management Office (WFMO

Climate applications for NOAA 1/4° Daily Optimum Interpolation Sea Surface Temperature

Science.gov (United States)

Boyer, T.; Banzon, P. V. F.; Liu, G.; Saha, K.; Wilson, C.; Stachniewicz, J. S.

2015-12-01

Few sea surface temperature (SST) datasets from satellites have the long temporal span needed for climate studies. The NOAA Daily Optimum Interpolation Sea Surface Temperature (DOISST) on a 1/4° grid, produced at National Centers for Environmental Information, is based primarily on SSTs from the Advanced Very High Resolution Radiometer (AVHRR), available from 1981 to the present. AVHRR data can contain biases, particularly when aerosols are present. Over the three decade span, the largest departure of AVHRR SSTs from buoy temperatures occurred during the Mt Pinatubo and El Chichon eruptions. Therefore, in DOISST, AVHRR SSTs are bias-adjusted to match in situ SSTs prior to interpolation. This produces a consistent time series of complete SST fields that is suitable for modelling and investigating local climate phenomena like El Nino or the Pacific warm blob in a long term context. Because many biological processes and animal distributions are temperature dependent, there are also many ecological uses of DOISST (e.g., coral bleaching thermal stress, fish and marine mammal distributions), thereby providing insights into resource management in a changing ocean. The advantages and limitations of using DOISST for different applications will be discussed.

NOAA's Role in Sustaining Global Ocean Observations: Future Plans for OAR's Ocean Observing and Monitoring Division

Science.gov (United States)

Todd, James; Legler, David; Piotrowicz, Stephen; Raymond, Megan; Smith, Emily; Tedesco, Kathy; Thurston, Sidney

2017-04-01

The Ocean Observing and Monitoring Division (OOMD, formerly the Climate Observation Division) of the National Oceanic and Atmospheric Administration (NOAA) Climate Program Office provides long-term, high-quality global observations, climate information and products for researchers, forecasters, assessments and other users of environmental information. In this context, OOMD-supported activities serve a foundational role in an enterprise that aims to advance 1) scientific understanding, 2) monitoring and prediction of climate and 3) understanding of potential impacts to enable a climate resilient society. Leveraging approximately 50% of the Global Ocean Observing System, OOMD employs an internationally-coordinated, multi-institution global strategy that brings together data from multiple platforms including surface drifting buoys, Argo profiling floats, flux/transport moorings (RAMA, PIRATA, OceanSITES), GLOSS tide gauges, SOOP-XBT and SOOP-CO2, ocean gliders and repeat hydrographic sections (GO-SHIP). OOMD also engages in outreach, education and capacity development activities to deliver training on the social-economic applications of ocean data. This presentation will highlight recent activities and plans for 2017 and beyond.

Use of NOAA-N satellites for land/water discrimination and flood monitoring

Science.gov (United States)

Tappan, G.; Horvath, N. C.; Doraiswamy, P. C.; Engman, T.; Goss, D. W. (Principal Investigator)

1983-01-01

A tool for monitoring the extent of major floods was developed using data collected by the NOAA-6 advanced very high resolution radiometer (AVHRR). A basic understanding of the spectral returns in AVHRR channels 1 and 2 for water, soil, and vegetation was reached using a large number of NOAA-6 scenes from different seasons and geographic locations. A look-up table classifier was developed based on analysis of the reflective channel relationships for each surface feature. The classifier automatically separated land from water and produced classification maps which were registered for a number of acquisitions, including coverage of a major flood on the Parana River of Argentina.

USVI 2011, Ground Validation ROV Transect Points, NOAA Ship Nancy Foster (NCEI Accession 0131858)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

USVI 2011, Ground Validation ROV Transect Lines, NOAA Ship Nancy Foster (NCEI Accession 0131858)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

NOAA Coastal Mapping Shoreline Products

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA Coastal Mapping Shoreline Products from the Remote Sensing Division are primarily for application to the nautical charts produced by NOAA's Office of Coast...

NOAA Observing System Integrated Analysis (NOSIA): development and support to the NOAA Satellite Observing System Architecture

Science.gov (United States)

Reining, R. C.; Cantrell, L. E., Jr.; Helms, D.; LaJoie, M.; Pratt, A. S.; Ries, V.; Taylor, J.; Yuen-Murphy, M. A.

2016-12-01

There is a deep relationship between NOSIA-II and the Federal Earth Observation Assessment (EOA) efforts (EOA 2012 and 2016) chartered under the National Science and Technology Council, Committee on Environment, Natural Resources, and Sustainability, co-chaired by the White House Office of Science and Technology Policy, NASA, NOAA, and USGS. NOSIA-1, which was conducted with a limited scope internal to NOAA in 2010, developed the methodology and toolset that was adopted for EOA 2012, and NOAA staffed the team that conducted the data collection, modeling, and analysis effort for EOA 2012. EOA 2012 was the first-ever integrated analysis of the relative impact of 379 observing systems and data sources contributing to the key objectives identified for 13 Societal Benefit Areas (SBA) including Weather, Climate, Disasters, Oceans and Coastal Resources, and Water Resources. This effort culminated in the first National Plan for Civil Earth Observations. NOAA conducted NOSIA-II starting in 2012 to extend the NOSIA methodology across all of NOAA's Mission Service Areas, covering a representative sample (over 1000) of NOAA's products and services. The detailed information from NOSIA-II is being integrated into EOA 2016 to underpin a broad array of Key Products, Services, and (science) Objectives (KPSO) identified by the inter-agency SBA teams. EOA 2016 is expected to provide substantially greater insight into the cross-agency impacts of observing systems contributing to a wide array of KPSOs, and by extension, to societal benefits flowing from these public-facing products. NOSIA-II is being adopted by NOAA as a corporate decision-analysis and support capability to inform leadership decisions on its integrated observing systems portfolio. Application examples include assessing the agency-wide impacts of planned decommissioning of ships and aircraft in NOAA's fleet, and the relative cost-effectiveness of alternative space-based architectures in the post-GOES-R and JPSS era

NOAA Electronic Navigational Charts (ENC)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The Office of Coast Survey (OCS) has been involved in the development of a NOAA Electronic Navigational Chart (NOAA ENC) suite to support the marine transportation...

Worldwide Buoy Technology Survey. Volume 1. Report

Science.gov (United States)

1991-02-01

1522.2.9.3 The Remearch Instituite Netherlands (3tARIN) 155 2.2.9.4 Marine Analytics .. .. .. .. L.2.9.5 D&"a Sipyards . 157 2.2.10 Norway 2 .2-1.1 ~Ticn Plat...dependents who are in financial distress and a deep sea pilotage authority. It is not a governmental organization but it was created by an act of...hoisting power (t) 15.0 15.0 15.0 15.0 f FIGURE 2-35 JAPAN’S BUOY jI 91 objectives, financial cutbacks, etc. which is impacting their services. Among

A locking mechanism for securing a loading buoy to a vessel. Lsemekanisme for fastgjring av en lastebye til et farty

Energy Technology Data Exchange (ETDEWEB)

Breivik, K.; Smedal, A.

1994-07-04

The invention relates to a locking mechanism for securing a loading/unloading buoy on a vessel. The buoy is of the type to be introduced into a submerged downwardly open receiving space in the vessel, and to be fastened in a releasable manner in the receiving space. The mechanism comprises hydraulically actuated locking elements, mounted about horizontal axes at the sides of the receiving space, to pivot between the locking and releasing positions, the buoy having a peripheral collar having a downwards facing abutment edge for engagement with the locking elements in the locking position thereof. 6 figs.

15 CFR 995.28 - Use of NOAA emblem.

Science.gov (United States)

2010-01-01

... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Use of NOAA emblem. 995.28 Section 995... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES CERTIFICATION REQUIREMENTS FOR DISTRIBUTORS OF NOAA HYDROGRAPHIC PRODUCTS Requirements for Certified Distributors and Value Added Distributors of NOAA ENC Products...

PacIOOS Water Quality Buoy AW (WQB-AW): Ala Wai, Oahu, Hawaii

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points....

PacIOOS Water Quality Buoy KN (WQB-KN): Kilo Nalu, Oahu, Hawaii

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points....

Meteorological, oceanographic, and buoy data from JAMSTEC from five drifting buoys, named J-CAD (JAMSTEC Compact Arctic Drifter) in the Arctic Ocean from 2000 to 2003 (NODC Accession 0002201)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — In 1999, JAMSTEC and MetOcean Data System Ltd. developed a new drifting buoy, named J-CAD (JAMSTEC Compact Arctic Drifter), to conduct long-term observations in the...

Response of Ocean Circulation to Different Wind Forcing in Puerto Rico and US Virgin Islands

Science.gov (United States)

Solano, Miguel; Garcia, Edgardo; Leonardi, Stafano; Canals, Miguel; Capella, Jorge

2013-11-01

The response of the ocean circulation to various wind forcing products has been studied using the Regional Ocean Modeling System. The computational domain includes the main islands of Puerto Rico, Saint John and Saint Thomas, located on the continental shelf dividing the Caribbean Sea and the Atlantic Ocean. Data for wind forcing is provided by an anemometer located in a moored buoy, the Coupled Ocean-Atmosphere Mesoscale Prediction System (COAMPS) model and the National Digital Forecast Database (NDFD). Hindcast simulations have been validated using hydrographic data at different locations in the area of study. Three cases are compared to quantify the impact of high resolution wind forcing on the ocean circulation and the vertical structure of salinity, temperature and velocity. In the first case a constant wind velocity field is used to force the model as measured by an anemometer on top of a buoy. In the second case, a forcing field provided by the Navy's COAMPS model is used and in the third case, winds are taken from NDFD in collaboration with the National Centers for Environmental Prediction. Validated results of ocean currents against data from Acoustic Doppler Current Profilers at different locations show better agreement using high resolution wind data as expected. Thanks to CariCOOS and NOAA.

Development of a GPS buoy system for monitoring tsunami, sea waves, ocean bottom crustal deformation and atmospheric water vapor

Science.gov (United States)

Kato, Teruyuki; Terada, Yukihiro; Nagai, Toshihiko; Koshimura, Shun'ichi

2010-05-01

We have developed a GPS buoy system for monitoring tsunami for over 12 years. The idea was that a buoy equipped with a GPS antenna and placed offshore may be an effective way of monitoring tsunami before its arrival to the coast and to give warning to the coastal residents. The key technology for the system is real-time kinematic (RTK) GPS technology. We have successfully developed the system; we have detected tsunamis of about 10cm in height for three large earthquakes, namely, the 23 June 2001 Peru earthquake (Mw8.4), the 26 September 2003 Tokachi earthquake (Mw8.3) and the 5 September 2004 earthquake (Mw7.4). The developed GPS buoy system is also capable of monitoring sea waves that are mainly caused by winds. Only the difference between tsunami and sea waves is their frequency range and can be segregated each other by a simple filtering technique. Given the success of GPS buoy experiments, the system has been adopted as a part of the Nationwide Ocean Wave information system for Port and HArborS (NOWPHAS) by the Ministry of Land, Infrastructure, Transport and Tourism of Japan. They have established more than eight GPS buoys along the Japanese coasts and the system has been operated by the Port and Airport Research Institute. As a future scope, we are now planning to implement some other additional facilities for the GPS buoy system. The first application is a so-called GPS/Acoustic system for monitoring ocean bottom crustal deformation. The system requires acoustic waves to detect ocean bottom reference position, which is the geometrical center of an array of transponders, by measuring distances between a position at the sea surface (vessel) and ocean bottom equipments to return the received sonic wave. The position of the vessel is measured using GPS. The system was first proposed by a research group at the Scripps Institution of Oceanography in early 1980's. The system was extensively developed by Japanese researchers and is now capable of detecting ocean

NODC Standard Format Drifting Buoy (F156) Data (1975-1994) (NODC Accession 0014200)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data type contains time series ocean circulation data determined by tracking the movement of drifting buoys, drogues or other instrumented devices. Movement is...

National Geophysical Data Center Tsunami Data Archive

Science.gov (United States)

Stroker, K. J.; Dunbar, P. K.; Brocko, R.

2008-12-01

NOAA's National Geophysical Data Center (NGDC) and co-located World Data Center for Geophysics and Marine Geology long-term tsunami data archive provides data and derived products essential for tsunami hazard assessment, forecast and warning, inundation modeling, preparedness, mitigation, education, and research. As a result of NOAA's efforts to strengthen its tsunami activities, the long-term tsunami data archive has grown from less than 5 gigabyte in 2004 to more than 2 terabytes in 2008. The types of data archived for tsunami research and operation activities have also expanded in fulfillment of the P.L. 109-424. The archive now consists of: global historical tsunami, significant earthquake and significant volcanic eruptions database; global tsunami deposits and proxies database; reference database; damage photos; coastal water-level data (i.e. digital tide gauge data and marigrams on microfiche); bottom pressure recorder (BPR) data as collected by Deep-ocean Assessment and Reporting of Tsunamis (DART) buoys. The tsunami data archive comes from a wide variety of data providers and sources. These include the NOAA Tsunami Warning Centers, NOAA National Data Buoy Center, NOAA National Ocean Service, IOC/NOAA International Tsunami Information Center, NOAA Pacific Marine Environmental Laboratory, U.S. Geological Survey, tsunami catalogs, reconnaissance reports, journal articles, newspaper articles, internet web pages, and email. NGDC has been active in the management of some of these data for more than 50 years while other data management efforts are more recent. These data are openly available, either directly on-line or by contacting NGDC. All of the NGDC tsunami and related databases are stored in a relational database management system. These data are accessible over the Web as tables, reports, and interactive maps. The maps provide integrated web-based GIS access to individual GIS layers including tsunami sources, tsunami effects, significant earthquakes

Drifting and moored buoy data observed during 2015 and assembled by the Global Data Assembly Center for Drifting Buoy Data (formerly Responsible National Oceanographic Data Center (RNODC)), Canada (NCEI Accession 0156004)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Buoy data is available in real time to platform operators via telecommunications providers and distributed on the Global Telecommunications System (GTS) of the World...

Advancing NOAA NWS Arctic Program Development

Science.gov (United States)

Timofeyeva-Livezey, M. M.; Horsfall, F. M. C.; Meyers, J. C.; Churma, M.; Thoman, R.

2016-12-01

Environmental changes in the Arctic require changes in the way the National Oceanic and Atmospheric Administration (NOAA) delivers hydrological and meteorological information to prepare the region's societies and indigenous population for emerging challenges. These challenges include changing weather patterns, changes in the timing and extent of sea ice, accelerated soil erosion due to permafrost decline, increasing coastal vulnerably, and changes in the traditional food supply. The decline in Arctic sea ice is opening new opportunities for exploitation of natural resources, commerce, tourism, and military interest. These societal challenges and economic opportunities call for a NOAA integrated approach for delivery of environmental information including climate, water, and weather data, forecasts, and warnings. Presently the NOAA Arctic Task Force provides leadership in programmatic coordination across NOAA line offices. National Weather Service (NWS) Alaska Region and the National Centers for Environmental Prediction (NCEP) provide the foundational operational hydro-meteorological products and services in the Arctic. Starting in 2016, NOAA's NWS will work toward improving its role in programmatic coordination and development through assembling an NWS Arctic Task Team. The team will foster ties in the Arctic between the 11 NWS national service programs in climate, water, and weather information, as well as between Arctic programs in NWS and other NOAA line offices and external partners. One of the team outcomes is improving decision support tools for the Arctic. The Local Climate Analysis Tool (LCAT) currently has more than 1100 registered users, including NOAA staff and technical partners. The tool has been available online since 2013 (http://nws.weather.gov/lcat/ ). The tool links trusted, recommended NOAA data and analytical capabilities to assess impacts of climate variability and climate change at local levels. A new capability currently being developed will

NOAA Seamless Raster Navigational Charts (RNC)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA Seamless Raster Chart Server provides a seamless collarless mosaic of the NOAA Raster Navigational Charts (RNC). The RNC are a collection of approximately...

A Fast Response Capability within NOAA/NOS/CO-OPS

Science.gov (United States)

2007-01-01

A Fast Response Capability within NOAA/NOS/CO-OPS P. B. Burke NOAA/National Ocean Service/CO-OPS 1305 East-West Hwy. Silver Spring, MD 20910...USA pat.burke@noaa.gov T. Graff NOAA/National Ocean Service/CO-OPS 1305 East-West Hwy. Silver Spring, MD 20910 USA tammy.graff@noaa.gov... flotation hull, an instrumentation tower mounted atop the hull and a current meter mount with a mooring attachment. The triangular tower housed two

Ambiguity resolution in systems using Omega for position location

Science.gov (United States)

Frenkel, G.; Gan, D. G.

1974-01-01

The lane ambiguity problem prevents the utilization of the Omega system for many applications such as locating buoys and balloons. The method of multiple lines of position introduced herein uses signals from four or more Omega stations for ambiguity resolution. The coordinates of the candidate points are determined first through the use of the Newton iterative procedure. Subsequently, a likelihood function is generated for each point, and the ambiguity is resolved by selecting the most likely point. The method was tested through simulation.

Comparison of heaving buoy and oscillating flap wave energy converters

Science.gov (United States)

Abu Bakar, Mohd Aftar; Green, David A.; Metcalfe, Andrew V.; Najafian, G.

2013-04-01

Waves offer an attractive source of renewable energy, with relatively low environmental impact, for communities reasonably close to the sea. Two types of simple wave energy converters (WEC), the heaving buoy WEC and the oscillating flap WEC, are studied. Both WECs are considered as simple energy converters because they can be modelled, to a first approximation, as single degree of freedom linear dynamic systems. In this study, we estimate the response of both WECs to typical wave inputs; wave height for the buoy and corresponding wave surge for the flap, using spectral methods. A nonlinear model of the oscillating flap WEC that includes the drag force, modelled by the Morison equation is also considered. The response to a surge input is estimated by discrete time simulation (DTS), using central difference approximations to derivatives. This is compared with the response of the linear model obtained by DTS and also validated using the spectral method. Bendat's nonlinear system identification (BNLSI) technique was used to analyze the nonlinear dynamic system since the spectral analysis was only suitable for linear dynamic system. The effects of including the nonlinear term are quantified.

75 FR 69920 - (NOAA) Science Advisory Board (SAB)

Science.gov (United States)

2010-11-16

... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration (NOAA) Science Advisory... Administration (NOAA), Department of Commerce (DOC). ACTION: Notice of open meeting. SUMMARY: The Science... Administration (NOAA) science programs are of the highest quality and provide optimal support to resource...

78 FR 16254 - (NOAA) Science Advisory Board (SAB)

Science.gov (United States)

2013-03-14

... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration (NOAA) Science Advisory... Administration (NOAA), Department of Commerce (DOC). ACTION: Notice of open meeting. SUMMARY: The Science... Administration (NOAA) science programs are of the highest quality and provide optimal support to resource...

NOAA's Big Data Partnership and Applications to Ocean Sciences

Science.gov (United States)

Kearns, E. J.

2016-02-01

New opportunities for the distribution of NOAA's oceanographic and other environmental data are being explored through NOAA's Big Data Partnership (BDP) with Amazon Web Services, Google Cloud Platform, IBM, Microsoft Corp. and the Open Cloud Consortium. This partnership was established in April 2015 through Cooperative Research and Development Agreements, and is seeking new, financially self-sustaining collaborations between the Partners and the federal government centered upon NOAA's data and their potential value in the information marketplace. We will discuss emerging opportunities for collaboration among businesses and NOAA, progress in making NOAA's ocean data more widely accessible through the Partnerships, and applications based upon this access to NOAA's data.

PacIOOS Water Quality Buoy 03 (WQB-03): Kiholo Bay, Big Island, Hawaii

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points....

PacIOOS Water Quality Buoy 04 (WQB-04): Hilo Bay, Big Island, Hawaii

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The water quality buoys are part of the Pacific Islands Ocean Observing System (PacIOOS) and are designed to measure a variety of ocean parameters at fixed points....

Polar Motion Studies and NOAA's Legacy of International Scientific Cooperation: Ukiah and Gaithersburg Latitude Observatories

Science.gov (United States)

Caccamise, D. J., II; Stone, W. A.

2017-12-01

In 1895, the International Geodetic Association invited the United States Coast and Geodetic Survey (USC&GS) to join in an unprecedented international effort to observe and measure the earth's polar motion. This effort was in response to the American astronomer Seth C. Chandler Jr. announcing his 1891 discovery that the earth's axis of rotation—and hence the direction of true north—wobbles within the earth with a period of about 14 months, varying latitude everywhere on the globe. In 1899, two astro-geodetic observatories were built in Gaithersburg, Maryland and Ukiah, California with three others in Caloforte, Italy; Kitab, Russia (now Uzbekistan); and Mizusawa, Japan. (A sixth station was located and operated at an astronomical observatory in Cincinnati, Ohio until 1916 using instruments loaned by USC&GS). All five observatories were located along the same parallel - approximately 35 degrees - 8 minutes. The observatories were decommissioned in 1982, and subsequently, NOAA deeded the two remaining U.S. observatories to the cities of Gaithersburg and Ukiah. The observatories and adjacent property were to be used as parkland. Both cities have restored the observatories and opened public parks. Recently, Gaithersburg (Ukiah in progress) has had its latitude observatory dedicated as a National Historic Landmark. In 2014-15, the National Geodetic Survey (NGS, the present-day NOAA successor to the USC&GS) loaned the original zenith telescopes to the communities, returning the observatories to their original configuration. The contribution of NOAA observers and the data collected is still important to astronomers and geophysicists and has practical applications in spacecraft navigation and geospatial positioning. This poster will bring to fruition this multiyear effort among partners by providing examples of NOAA's mission and contribution to science, service, and stewardship at both geodetic observatories, through programs and historic exhibits for students and the

Modeling marine surface microplastic transport to assess optimal removal locations

OpenAIRE

Sherman, Peter; Van Sebille, Erik

2016-01-01

Marine plastic pollution is an ever-increasing problem that demands immediate mitigation and reduction plans. Here, a model based on satellite-tracked buoy observations and scaled to a large data set of observations on microplastic from surface trawls was used to simulate the transport of plastics floating on the ocean surface from 2015 to 2025, with the goal to assess the optimal marine microplastic removal locations for two scenarios: removing the most surface microplastic and reducing the ...

A system for rotatably mounting a vessel to a loading buoy. System for dreibar tilkopling av et flytende farty til en lastebye

Energy Technology Data Exchange (ETDEWEB)

Breivik, K.; Smedal, A.; Syvertsen, K.

1994-07-04

The invention relates to a system for rotatable mounting of a floating vessel to a submerged loading/unloading buoy which is anchored to the sea bed. The buoy is adapted to be introduced into and fastened in a releasable manner in a submerged downwardly open receiving space in the vessel, and is during operation connected to at least one transfer line and forming a transfer connection between this line and a tube system on the vessel. The buoy comprises an outer member which is arranged to be rigidly fastened in the receiving space, and a central inner member which is rotatably mounted in the outer member, so that the vessel is able to turn about the central member when the buoy is fastened in the receiving space. Further, the upper end of the central member is connected to the tube system of the vessel through a swivel means and through at least one flexible joint means respectively. 3 figs.

NOAA's operational path forward: Developing the Coyote UASonde

Science.gov (United States)

Cione, J.; Twining, K.; Silah, M.; Brescia, T.; Kalina, E.; Farber, A.; Troudt, C.; Ghanooni, A.; Baker, B.; Dumas, E. J.; Hock, T. F.; Smith, J.; French, J.; Fairall, C. W.; deBoer, G.; Bland, G.

2016-12-01

Since 2009, NOAA has shown an interest in using the air-deployed Coyote Unmanned Aircraft System (UAS) for low-altitude hurricane reconnaissance. In September of 2014, NOAA conducted two successful missions into Hurricane Edouard using this innovative observing tool. Since then, NOAA has continued to invest time and resources into the Coyote platform. These efforts include plans to release up to 7 additional Coyote UAS into tropical cyclones using NOAA's P-3 Hurricane Hunter manned aircraft in 2016. A longer-term goal for this multi-institutional partnership will be to modify the existing UAS design such that the next generation platform will be capable of conducting routine observations in direct support of a wide array of NOAA operations that extend beyond hurricane surveillance. The vision for this potentially transformative platform, dubbed the Coyote UASonde, will be to heavily leverage NOAA's existing capabilities, incorporate significant upgrades to the existing payload and employ an expert navigation and data communication system that utilizes artificial intelligence. A brief summary of Coyote successes to date as well as a future roadmap that leads NOAA towards an operationally-viable Coyote UASonde will be presented.

NOAA Education Partnerships 2013 Portfolio Review. Final Report

Science.gov (United States)

Payne, Diana L.; Baek, John Y.

2014-01-01

This Partnerships Working Group (PWG) study responds to recommendations from the National Research Council's (NRC) NOAA's Education Program: Review and Critique (2010) for NOAA to better understand how NOAA Education partnerships are formed, fostered, sustained, and evaluated. The NRC report noted that while partnerships were mentioned as a means…

Buoy and Generator Interaction with Ocean Waves: Studies of a Wave Energy Conversion System

Energy Technology Data Exchange (ETDEWEB)

Lindroth, Simon

2011-07-01

On March 13th, 2006, the Div. of Electricity at Uppsala Univ. deployed its first wave energy converter, L1, in the ocean southwest of Lysekil. L1 consisted of a buoy at the surface, connected through a line to a linear generator on the seabed. Since the deployment, continuous investigations of how L1 works in the waves have been conducted, and several additional wave energy converters have been deployed. This thesis is based on ten publications, which focus on different aspects of the interaction between wave, buoy, and generator. In order to evaluate different measurement systems, the motion of the buoy was measured optically and using accelerometers, and compared to measurements of the motion of the movable part of the generator - the translator. These measurements were found to correlate well. Simulations of buoy and translator motion were found to match the measured values. The variation of performance of L1 with changing water levels, wave heights, and spectral shapes was also investigated. Performance is here defined as the ratio of absorbed power to incoming power. It was found that the performance decreases for large wave heights. This is in accordance with the theoretical predictions, since the area for which the stator and the translator overlap decreases for large translator motions. Shifting water levels were predicted to have the same effect, but this could not be seen as clearly. The width of the wave energy spectrum has been proposed by some as a factor that also affects the performance of a wave energy converter, for a set wave height and period. Therefore the relation between performance and several different parameters for spectral width was investigated. It was found that some of the parameters were in fact correlated to performance, but that the correlation was not very strong. As a background on ocean measurements in wave energy, a thorough literature review was conducted. It turns out that the Lysekil project is one of quite few projects that

Oceanographic Multisensor Buoy Based on Low Cost Sensors for Posidonia Meadows Monitoring in Mediterranean Sea

Directory of Open Access Journals (Sweden)

Sandra Sendra

2015-01-01

Full Text Available There are some underwater areas with high ecological interest that should be monitored. Posidonia and seagrasses exert considerable work in protecting the coastline from erosion. In these areas, many animals and organisms live and find the grassland food and the protection against predators. It is considered a bioindicator of the quality of coastal marine waters. It is important to monitor them and maintain these ecological communities as clean as possible. In this paper, we present an oceanographic buoy for Posidonia meadows monitoring. It is based on a set of low cost sensors which are able to collect data from water such as salinity, temperature, and turbidity and from the weather as temperature, relative humidity, and rainfall, among others. The system is mounted in a buoy which keeps it isolated to possible oxidation problems. Data gathered are processed using a microcontroller. Finally the buoy is connected with a base station placed on the mainland through a wireless connection using a FlyPort module. The network performance is checked in order to ensure that no delays will be generated on the data transmission. This proposal could be used to monitor other areas with special ecological interest and for monitoring and supervising aquaculture activities.

Quantifying Electromagnetic Wave Propagation Environment Using Measurements From A Small Buoy

Science.gov (United States)

2017-06-01

ELECTROMAGNETIC WAVE PROPAGATION ENVIRONMENT USING MEASUREMENTS FROM A SMALL BUOY by Andrew E. Sweeney June 2017 Thesis Advisor: Qing Wang...TYPE AND DATES COVERED Master’s thesis 4. TITLE AND SUBTITLE QUANTIFYING ELECTROMAGNETIC WAVE PROPAGATION ENVIRONMENT USING MEASUREMENTS FROM A...the Coupled Air Sea Processes and Electromagnetic (EM) ducting Research (CASPER), to understand air-sea interaction processes and their representation

Traditional Knowledge Strengthens NOAA's Environmental Education

Science.gov (United States)

Stovall, W. K.; McBride, M. A.; Lewinski, S.; Bennett, S.

2010-12-01

Environmental education efforts are increasingly recognizing the value of traditional knowledge, or indigenous science, as a basis to teach the importance of stewardship. The National Oceanic and Atmospheric Administration (NOAA) Pacific Services Center incorporates Polynesian indigenous science into formal and informal education components of its environmental literacy program. By presenting indigenous science side by side with NOAA science, it becomes clear that the scientific results are the same, although the methods may differ. The platforms for these tools span a vast spectrum, utilizing media from 3-D visualizations to storytelling and lecture. Navigating the Pacific Islands is a Second Life project in which users navigate a virtual Polynesian voyaging canoe between two islands, one featuring native Hawaiian practices and the other where users learn about NOAA research and ships. In partnership with the University of Hawai‘i Waikiki Aquarium, the Nana I Ke Kai (Look to the Sea) series focuses on connecting culture and science during cross-discipline, publicly held discussions between cultural practitioners and research scientists. The Indigenous Science Video Series is a multi-use, animated collection of short films that showcase the efforts of NOAA fisheries management and ship navigation in combination with the accompanying Polynesian perspectives. Formal education resources and lesson plans for grades 3-5 focusing on marine science have also been developed and incorporate indigenous science practices as examples of conservation success. By merging traditional knowledge and stewardship practices with NOAA science in educational tools and resources, NOAA's Pacific Services Center is helping to build and increase environmental literacy through the development of educational tools and resources that are applicable to place-based understanding and approaches.

Mapeamento da temperatura da superfície terrestre com uso do sensor AVHRR/NOAA Mapping land surface temperature using AVHRR/NOAA sensor

Directory of Open Access Journals (Sweden)

Aníbal Gusso

2007-02-01

Full Text Available O objetivo deste trabalho foi avaliar a adequação do uso do sensor AVHRR/NOAA (Advanced Very High Resolution Radiometer/National Oceanic and Atmospheric Administration para mapeamento da temperatura da superfície terrestre (TST no Estado do Rio Grande do Sul, por meio da comparação entre três algoritmos clássicos. Foram comparados os métodos de Becker & Li, Sobrino et al. e Kerr et al. para estimativa das TST mínimas, utilizando imagens noturnas e logo após o amanhecer. Os dados de emissividade e TST foram obtidos por meio de combinações matemáticas da radiação detectada nas faixas do visível, infravermelho próximo e termal do sensor AVHRR/NOAA. O sensor AVHRR é adequado para o mapeamento de TST para as condições do tipo de cobertura do solo que predominam no Rio Grande do Sul, visto que a TST estimada pelos três métodos testados foi próxima à temperatura do ar medida nos locais selecionados. O método de Sobrino et al. foi o mais adequado.The objective of this work was to evaluate the suitable use of AVHRR/NOAA (Advanced Very High Resolution Radiometer/National Oceanic and Atmospheric Administration on land surface temperature (LST mapping in Rio Grande do Sul State by means of the comparison of three classic algorithms. The methods of Becker & Li, Sobrino et al. and Kerr et al. were compared for the minimum LST estimation, using nocturnal and predawn images. Both emissivity and LST data were obtained by means of mathematical combinations of the visible, near-infrared and thermal detected radiation of the AVHRR/NOAA sensor. The AVHRR sensor is suitable for LST mapping for the overall conditions of soil coverage in Rio Grande do Sul, once the estimated LST, by the three tested methods, was close to the measured air temperature at the selected locations. Sobrino et al. was the most adequate method.

Critical Review of NOAA's Observation Requirements Process

Science.gov (United States)

LaJoie, M.; Yapur, M.; Vo, T.; Templeton, A.; Bludis, D.

2017-12-01

NOAA's Observing Systems Council (NOSC) maintains a comprehensive database of user observation requirements. The requirements collection process engages NOAA subject matter experts to document and effectively communicate the specific environmental observation measurements (parameters and attributes) needed to produce operational products and pursue research objectives. User observation requirements documented using a structured and standardized manner and framework enables NOAA to assess its needs across organizational lines in an impartial, objective, and transparent manner. This structure provides the foundation for: selecting, designing, developing, acquiring observing technologies, systems and architectures; budget and contract formulation and decision-making; and assessing in a repeatable fashion the productivity, efficiency and optimization of NOAA's observing system enterprise. User observation requirements are captured independently from observing technologies. Therefore, they can be addressed by a variety of current or expected observing capabilities and allow flexibility to be remapped to new and evolving technologies. NOAA's current inventory of user observation requirements were collected over a ten-year period, and there have been many changes in policies, mission priorities, and funding levels during this time. In light of these changes, the NOSC initiated a critical, in-depth review to examine all aspects of user observation requirements and associated processes during 2017. This presentation provides background on the NOAA requirements process, major milestones and outcomes of the critical review, and plans for evolving and connecting observing requirements processes in the next year.

System for Reporting High Resolution Ocean Pressures in Near Realtime for the Purposes of Tsunami Monitoring

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This invention is the NOAA Deep ocean Assessment and Reporting of Tsunami (DART) system, which utilizes a seafloor tsunameter linked to an ocean surface buoy via...

Buoy observations of the influence of swell on wind waves in the open ocean

Energy Technology Data Exchange (ETDEWEB)

Violante-Carvalho, N.; Robinson, I.S. [University of Southampton (United Kingdom). Oceanography Centre; Ocampo-Torres, F.J. [CICESE, Ensenada (Mexico). Dpto. de Oceanografia Fisica

2004-04-01

The influence of longer (swell) on shorter, wind sea waves is examined using an extensive database of directional buoy measurements obtained from a heave-pitch-roll buoy moored in deep water in the South Atlantic. This data set is unique for such an investigation due to the ubiquitous presence of a young swell component propagating closely in direction and frequency with the wind sea, as well as a longer, opposing swell. Our results show, within the statistical limits of the regressions obtained from our analysis when compared to measurements in swell free environments, that there is no obvious influence of swell on wind sea growth. For operational purposes in ocean engineering this means that power-laws from fetch limited situations describing the wind sea growth can be applied in more realistic situations in the open sea when swell is present. (author)

NOAA Ocean Exploration: Science, Education and Ocean Literacy Online and in Social Media

Science.gov (United States)

Keener-Chavis, P.

2012-12-01

"Engagement" in ocean science initially might seem like a simple concept, however within an agency like NOAA, with a broad mission and a wide variety of stakeholders, the concept of engagement becomes quite complex. Several years ago, a Kellogg Commission Report was submitted to NOAA's Science Advisory Board to assist the Agency with more closely defining-and refining-how it could more effectively engage with the multiple audiences with which it works. For NOAA, engagement is a two-way relationship that unfolds in a commitment of service to society. It is an Enterprise-wide capability represented in NOAA's Next Generation Strategic Plan and carries the same weight across the Agency as science and technology. NOAA's Office of Ocean Exploration and Research (OER) engages scientists, educators and the public through a variety of online and social media offerings explicitly tied to the exploration science of its expeditions. The principle platform for this engagement is the Ocean Explorer website (http://oceanexplorer.noaa.gov). It is the single point of entry for formal and informal educators and the public to chronicled OER expeditions to little known regions of the world ocean. The site also enables access to live streaming video and audio from the United States' first ship solely dedicated to ocean exploration, the NOAA Ship Okeanos Explorer and the Institute for Exploration's E/V Nautilus. Video includes footage from the remotely operated vehicles, sonar displays, navigation displays, and mapping data displays. Through telepresence technologies and other online communication tools, scientists at remote locations around the world, including Exploration Command Centers, collaborate in deep-sea exploration conducted by the Okeanos Explorer. Those wanting access to the ship's track, oceanographic data, daily updates, web logs, and imagery during an expedition can access the online Okeanos Explorer Digital Atlas. Information on archived expeditions can be accessed

15 CFR 911.5 - NOAA Data Collection Systems Use Agreements.

Science.gov (United States)

2010-01-01

... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false NOAA Data Collection Systems Use... POLICIES AND PROCEDURES CONCERNING USE OF THE NOAA SPACE-BASED DATA COLLECTION SYSTEMS § 911.5 NOAA Data Collection Systems Use Agreements. (a)(1) In order to use a NOAA DCS, each user must have an agreement with...

NOAA-L satellite arrives at Vandenberg AFB

Science.gov (United States)

2000-01-01

Outside the B16-10 spacecraft processing hangar at Vandenberg Air Force Base, Calif., a crated National Oceanic and Atmospheric Administration (NOAA-L) satellite is lowered to the ground before being moved inside. NOAA-L is part of the Polar-Orbiting Operational Environmental Satellite (POES) program that provides atmospheric measurements of temperature, humidity, ozone and cloud images, tracking weather patterns that affect the global weather and climate. The launch of the NOAA-L satellite is scheduled no earlier than Sept. 12 aboard a Lockheed Martin Titan II rocket. A wave parameters and directional spectrum analysis for extreme winds

OpenAIRE

Montoya Ramírez, Rubén Darío; Osorio Arias, Andres Fernando; Ortiz Royero, Juan Carlos; Ocampo-Torres, Francisco Javier

2013-01-01

In this research a comparison between two of the most popular ocean wave models, WAVEWATCH III™ and SWAN, was performed using data from hurricane Katrina in the Gulf of Mexico. The numerical simulation of sea surface directional wave spectrum and other wave parameters for several parameter- izations and its relation with the drag coefficient was carried out. The simulated data were compared with in-situ NOAA buoy data. For most of the buoys, WAVEWATCH III™ presented the best statistical compar...

15 CFR 996.30 - Use of the NOAA emblem.

Science.gov (United States)

2010-01-01

... 15 Commerce and Foreign Trade 3 2010-01-01 2010-01-01 false Use of the NOAA emblem. 996.30 Section... REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES QUALITY ASSURANCE AND CERTIFICATION REQUIREMENTS FOR NOAA HYDROGRAPHIC PRODUCTS AND SERVICES Other Quality Assurance Program Matters § 996.30 Use of the...

78 FR 26616 - Draft NOAA Five Year Research and Development Plan

Science.gov (United States)

2013-05-07

... DEPARTMENT OF COMMERCE Draft NOAA Five Year Research and Development Plan AGENCY: National Oceanic and Atmospheric Administration (NOAA), Department of Commerce (DOC). ACTION: Draft NOAA Five Year Research and Development Plan for Public Review. SUMMARY: NOAA's draft Five Year Research and Development...

Moball-Buoy Network: A Near-Real-Time Ground-Truth Distributed Monitoring System to Map Ice, Weather, Chemical Species, and Radiations, in the Arctic

Science.gov (United States)

Davoodi, F.; Shahabi, C.; Burdick, J.; Rais-Zadeh, M.; Menemenlis, D.

2014-12-01

The work had been funded by NASA HQ's office of Cryospheric Sciences Program. Recent observations of the Arctic have shown that sea ice has diminished drastically, consequently impacting the environment in the Arctic and beyond. Certain factors such as atmospheric anomalies, wind forces, temperature increase, and change in the distribution of cold and warm waters contribute to the sea ice reduction. However current measurement capabilities lack the accuracy, temporal sampling, and spatial coverage required to effectively quantify each contributing factor and to identify other missing factors. Addressing the need for new measurement capabilities for the new Arctic regime, we propose a game-changing in-situ Arctic-wide Distributed Mobile Monitoring system called Moball-buoy Network. Moball-buoy Network consists of a number of wind-propelled self-powered inflatable spheres referred to as Moball-buoys. The Moball-buoys are self-powered. They use their novel mechanical control and energy harvesting system to use the abundance of wind in the Arctic for their controlled mobility and energy harvesting. They are equipped with an array of low-power low-mass sensors and micro devices able to measure a wide range of environmental factors such as the ice conditions, chemical species wind vector patterns, cloud coverage, air temperature and pressure, electromagnetic fields, surface and subsurface water conditions, short- and long-wave radiations, bathymetry, and anthropogenic factors such as pollutions. The stop-and-go motion capability, using their novel mechanics, and the heads up cooperation control strategy at the core of the proposed distributed system enable the sensor network to be reconfigured dynamically according to the priority of the parameters to be monitored. The large number of Moball-buoys with their ground-based, sea-based, satellite and peer-to-peer communication capabilities would constitute a wireless mesh network that provides an interface for a global

Design and first results of CytoBuoy: a wireless flow cytometer for in situ analysis of marine and fresh waters.

Science.gov (United States)

Dubelaar, G B; Gerritzen, P L; Beeker, A E; Jonker, R R; Tangen, K

1999-12-01

The high costs of microscopical determination and counting of phytoplankton often limit sampling frequencies below an acceptable level for the monitoring of dynamic ecosystems. Although having a limited discrimination power, flow cytometry allows the analysis of large numbers of samples to a level that is sufficient for many basic monitoring jobs. For this purpose, flow cytometers should not be restricted to research laboratories. We report here on the development of an in situ flow cytometer for autonomous operation inside a small moored buoy or on other platforms. Operational specifications served a wide range of applications in the aquatic field. Specific conditions had to be met with respect to the operation platform and autonomy. A small, battery-operated flow cytometer resulted, requiring no external sheath fluid supply. Because it was designed to operate in a buoy, we call it CytoBuoy. Sampling, analysis, and radio transmission of the data proceed automatically at user-defined intervals. A powerful feature is the acquisition and radio transmission of full detector pulse shapes of each particle. This provides valuable morphological information for particles larger than the 5-microm laser focus. CytoBuoy allows on-line in situ particle analysis, estimation of phytoplankton biomass, and discrimination between different phytoplankton groups. This will increase the applicability of flow cytometry in the field of environmental monitoring. Copyright 1999 Wiley-Liss, Inc.

WATER TEMPERATURE and Other Data from DRIFTING PLATFORM From Chukchi Sea - NW Coast of Alaska from 1981-12-19 to 1982-01-01 (NODC Accession 8500079)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The data were collected by Flow Industries, Inc. under contract number 03-78-B01-61 to NOAA . The data are primarily from drifting ice buoys and were collected in...

The NOAA Dataset Identifier Project

Science.gov (United States)

de la Beaujardiere, J.; Mccullough, H.; Casey, K. S.

2013-12-01

The US National Oceanic and Atmospheric Administration (NOAA) initiated a project in 2013 to assign persistent identifiers to datasets archived at NOAA and to create informational landing pages about those datasets. The goals of this project are to enable the citation of datasets used in products and results in order to help provide credit to data producers, to support traceability and reproducibility, and to enable tracking of data usage and impact. A secondary goal is to encourage the submission of datasets for long-term preservation, because only archived datasets will be eligible for a NOAA-issued identifier. A team was formed with representatives from the National Geophysical, Oceanographic, and Climatic Data Centers (NGDC, NODC, NCDC) to resolve questions including which identifier scheme to use (answer: Digital Object Identifier - DOI), whether or not to embed semantics in identifiers (no), the level of granularity at which to assign identifiers (as coarsely as reasonable), how to handle ongoing time-series data (do not break into chunks), creation mechanism for the landing page (stylesheet from formal metadata record preferred), and others. Decisions made and implementation experience gained will inform the writing of a Data Citation Procedural Directive to be issued by the Environmental Data Management Committee in 2014. Several identifiers have been issued as of July 2013, with more on the way. NOAA is now reporting the number as a metric to federal Open Government initiatives. This paper will provide further details and status of the project.

Saildrone fleet could help replace aging buoys

Science.gov (United States)

Voosen, Paul

2018-03-01

In April, two semiautonomous drones, developed by Saildrone, a marine tech startup based in Alameda, California, in close collaboration with the National Oceanic and Atmospheric Administration in Washington, D.C., are set to return from an 8-month tour of the Pacific Ocean. This the first scientific test for the drones, which are powered only by the wind and sun, in the Pacific Ocean. The voyage is an important step in showing that such drones, carrying 15 different sensors, could help replace an aging and expensive array of buoys that are the main way scientists sniff out signs of climate-disrupting El Niño events. If successful, scientists envision fleets of similar drones spreading across the ocean, inviting thoughts of what it could be like to do oceanography without a ship.

After 10 years of service, NOAA retires GOES-12 satellite

Science.gov (United States)

NOAA HOME WEATHER OCEANS FISHERIES CHARTING SATELLITES CLIMATE RESEARCH COASTS CAREERS National oceans. In addition to GOES, NOAA also operates the polar operational environmental satellite (POES spacecraft. NOAA's mission is to understand and predict changes in the Earth's environment, from the depths

Physical and optical data collected from drifting buoys between May 1993 - December 1996 (NODC Accession 0000586)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Upwelling and downwelling irradiances were collected from surface optical drifter buoys off the California coast (NE Pacific limit-180) from 05 May 1993 to 06...

Proposed NOAA Budget Includes Hefty Increase for Satellites

Science.gov (United States)

Showstack, Randy

2010-03-01

The Obama administration's proposed fiscal year (FY) 2011 budget for the U.S. National Oceanic and Atmospheric Administration (NOAA) would provide the agency with $5.55 billion, which represents a total increase of $806.1 million, or 17% above the FY 2010 budget enacted by Congress. At a February briefing about the budget, NOAA administrator Jane Lubchenco said the budget is a very good package for the agency and that it reflects the administration's commitment to the environment, science, public safety, and job creation. Noting that the agency's budget remained essentially flat between FY 2005 and FY 2008 during the George W. Bush administration, Lubchenco said, “the increasing demand for NOAA's services, coupled with a static budget, created a major challenge for NOAA in delivering on expectations.” She said the funding picture for the agency improved with the FY 2009 and FY 2010 enacted budgets. Lubchenco noted that the proposed budget would include $949 million for research and development, an $82 million increase, adding, “Our 2011 request for each line office [within NOAA] is higher than it was in 2010, and we are better aligned with congressional funding levels than in previous budgets.”

Development of digital interactive processing system for NOAA satellites AVHRR data

Science.gov (United States)

Gupta, R. K.; Murthy, N. N.

The paper discusses the digital image processing system for NOAA/AVHRR data including Land applications - configured around VAX 11/750 host computer supported with FPS 100 Array Processor, Comtal graphic display and HP Plotting devices; wherein the system software for relational Data Base together with query and editing facilities, Man-Machine Interface using form, menu and prompt inputs including validation of user entries for data type and range; preprocessing software for data calibration, Sun-angle correction, Geometric Corrections for Earth curvature effect and Earth rotation offsets and Earth location of AVHRR image have been accomplished. The implemented image enhancement techniques such as grey level stretching, histogram equalization and convolution are discussed. The software implementation details for the computation of vegetative index and normalized vegetative index using NOAA/AVHRR channels 1 and 2 data together with output are presented; scientific background for such computations and obtainability of similar indices from Landsat/MSS data are also included. The paper concludes by specifying the further software developments planned and the progress envisaged in the field of vegetation index studies.

NOAA's Undergraduate Scholarship Program Outcomes and Opportunities

Science.gov (United States)

Kaplan, M.; Jabanoski, K.; Christenson, T.

2017-12-01

NOAA supports about 115 - 150 undergraduates per year through the Ernest F. Hollings Scholarship and the Educational Partnership Program Undergraduate Scholarship. These programs provide tuition support and paid summer internships at NOAA to exceptional students majoring in the geosciences. Multiple methods were used to evaluate program outcomes and track the career trajectories, including mining LinkedIn data and conducting evaluation surveys of recipients as well as students who applied but did not receive the award. Results show more than 75% of scholars continued on to graduate school, primarily in a NOAA mission fields. This compared to only 56% of nonrecipients. More than 60% of alumni had at least one professional record, with the most alumni working in private industry, followed by nongovernmental organizations and federal, state and local government. The evaluation identified 77 other scholarship programs applied to by NOAA scholarship recipients. The most commonly reported program was the NSF Research Experiences for Undergraduates (REU) for which 20% of scholars applied and 46% of applications were successful. Other common scholarships included the Goldwater Scholarship (received by 5% of NOAA scholars) and the Udall Scholarship (received by 4% of scholars). In the most recent class of 118 undergraduate scholars, 24% reported having another research experience by the time they arrived for orientation at the end of their sophomore year. These results suggest coordination across scholarship opportunities may be useful to engage and retain students in geoscience fields.

NOAA People Empowered Products (PeEP): Combining social media with scientific models to provide eye-witness confirmed products

Science.gov (United States)

Codrescu, S.; Green, J. C.; Redmon, R. J.; Minor, K.; Denig, W. F.; Kihn, E. A.

2013-12-01

NOAA products and alerts rely on combinations of models and data to provide the public with information regarding space and terrestrial weather phenomena and hazards. This operational paradigm, while effective, neglects an abundant free source of measurements: millions of eyewitnesses viewing weather events. We demonstrate the capabilities of a prototype People Empowered Product (PeEP) that combines the OVATION prime auroral model running at the NOAA National Geophysical Data Center with Twitter reports of observable aurora. We introduce an algorithm for scoring Tweets based on keywords to improve the signal to noise of this dynamic data source. We use the location of the aurora derived from this new database of crowd sourced observations to validate the OVATION model for use in auroral forecasting. The combined product displays the model aurora in real time with markers showing the location and text of tweets from people actually observing the aurora. We discuss how the application might be extended to other space weather products such as radiation related satellite anomalies.

Sensor Buoy System for Monitoring Renewable Marine Energy Resources.

Science.gov (United States)

García, Emilio; Quiles, Eduardo; Correcher, Antonio; Morant, Francisco

2018-03-22

In this paper we present a multi-sensor floating system designed to monitor marine energy parameters, in order to sample wind, wave, and marine current energy resources. For this purpose, a set of dedicated sensors to measure the height and period of the waves, wind, and marine current intensity and direction have been selected and installed in the system. The floating device incorporates wind and marine current turbines for renewable energy self-consumption and to carry out complementary studies on the stability of such a system. The feasibility, safety, sensor communications, and buoy stability of the floating device have been successfully checked in real operating conditions.

Tropical Pacific Observing for the Next Decade

Science.gov (United States)

Legler, David M.; Hill, Katherine

2014-06-01

More than 60 scientists and program officials from 13 countries met at the Scripps Institution of Oceanography for the Tropical Pacific Observing System (TPOS) 2020 Workshop. The workshop, although motivated in part by the dramatic decline of NOAA's Tropical Atmosphere Ocean (TAO) buoy reporting from mid-2012 to early 2014 (see http://www.bloomberg.com/news/2014-03-07/aging-el-nino-buoys-getting-fixed-as-weather-forecasts-at-risk.html), evaluated the needs for tropical Pacific observing and initiated efforts to develop a more resilient and integrative observing system for the future.

NOAA Emergency Response Imagery

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The imagery posted on this site is in response to natural disasters. The aerial photography missions were conducted by the NOAA Remote Sensing Division. The majority...

75 FR 30383 - NOAA's Arctic Vision and Strategy; Comment Period Extension

Science.gov (United States)

2010-06-01

... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration RIN 0648-XT64 NOAA's Arctic.... ACTION: Request for comments. SUMMARY: NOAA wishes to ensure its Arctic Vision and Strategy document..., and coastal communities. Though NOAA has numerous and diverse capabilities that support these emerging...

NOAA Interest in Small Satellite Solutions for Mitigation of Data Gaps

Science.gov (United States)

Caulfield, M.; Tewey, K.; John, P.

2016-12-01

The National Oceanic and Atmospheric Administration (NOAA) is undertaking a strategy to achieve satellite constellation robustness by 2023 to maintain continuity of polar satellite observations, which are central to NOAA's weather forecast capability. NOAA's plans include mitigation activities in the event of a loss of polar observations. In 2017, NOAA will begin development of the Earth Observing Nanosatellite - Microwave (EON-MW). EON-MW is a miniature microwave sounder that approximates the atmospheric profiling capabilities of the Advanced Technology Microwave Sounder (ATMS) instrument on the NOAA Joint Polar Satellite System (JPSS). NOAA is collaborating with the Massachusetts Institute of Technology's Lincoln Laboratory (MIT / LL) on EON-MW, which includes 2 years of risk reduction efforts to further define the EON-MW mission and identify and manage key technical risks. These studies will refine designs and evaluate system trades for operational earth observations from a U-class satellite platform, as well as examine microwave sensor concepts and investigated payload architecture to support microwave frequencies for atmospheric remote sensing. Similar to EON-MW, NOAA is also investigating the potential to mitigate against the loss of the JPSS Cross Track Infrared Sounder (CrIS) data with a CubeSat based mid-wave Infrared sounder. NOAA is collaborating with the Jet Propulsion Laboratory (JPL) to design the Earth Observation Nanosatellite-Infrared (EON-IR). EON-IR will leverage the NASA-JPL CubSat based infrared sounder CubSat Infrared Atmospheric Sounder (CIRAS) mission. In FY 2015 NOAA funded a study to analyze the feasibility of meeting the essential requirements of the CrIS from a CubeSat platform and began exploring the basic design of the EON-IR payload and bus. NOAA will continue to study EON-IR in 2016 by examining ways to modify the CIRAS design to better meet NOAA's observational and operational needs. These modifications will aim to increase mission

NOAA Form 370 Database

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The data set contains information from submitted NOAA Form 370s, also known as the Fisheries Certificate of Origin, for imported shipments of frozen and/or processed...

NOAA Office of Exploration and Research > Exploration > Systematic

Science.gov (United States)

Vessel (E/V) Nautilus in real-time on Internet 2 and the Internet. A legacy of high quality imagery, high . Contact Information for OER Okeanos Explorer Program: Craig Russell NOAA/OAR/OER 7600 Sand Point Way NE | Disclaimer | Privacy Policy | FOIA | Web Accessibility Statement | Information Quality Copyright NOAA 2013

76 FR 55362 - Proposed Information Collection; Comment Request; NOAA Customer Surveys

Science.gov (United States)

2011-09-07

... Collection; Comment Request; NOAA Customer Surveys AGENCY: National Oceanic and Atmospheric Administration (NOAA), Commerce. ACTION: Notice. SUMMARY: The Department of Commerce, as part of its continuing effort..., (301) 628-5751 or [email protected]noaa.gov . SUPPLEMENTARY INFORMATION: I. Abstract This request is for...

NOAA's contribution to an informed society anticipating and responding to climate and its impacts through Climate.gov

Science.gov (United States)

Niepold, F.

2012-12-01

Societal concern about the impacts of climate change is growing. Citizens in public and private sectors want easy access to credible climate science information to help them make informed decisions affecting their lives and livelihoods. Weather and climate influences almost every sector of society, and affects up to 40 percent of the United States' 10 trillion annual economy. (NRC report, 2003 entitled "Satellite Observations of the Earth's Environment: Accelerating the Transition of Research to Operations"). As the leading provider of climate, weather, and water information to the nation and the world, NOAA is a logical source for citizens to turn to for climate information. NOAA must expand and improve the way it communicates, educates, reaches out to, and engages with public stakeholders to better meet the nation's needs for timely, authoritative climate data and information. Citizens are increasingly going online to seek credible, authoritative climate information. However, users report having difficulty locating and using NOAA's online data products and services. Thus, resolving this online accessibility issue will be one of the Climate Portal's main benefits. The use of portal technology and emerging data integration and visualization tools provide an opportunity for NOAA to bring together multiple datasets from diverse disciplines and sources to deliver a more comprehensive picture of climate in the context of affected resources, communities and businesses. Additional benefits include wider extension of NOAA's data to other media such as television and free-choice learning venues, thereby increasing public exposure and engagement. The Climate Portal teams take an audience-focused approach to promoting climate science literacy among the public. The program communicates the challenges, processes, and results of NOAA-supported climate science through stories and data visualizations on the Web and in popular media. They provide information to a range of

Access High Quality Imagery from the NOAA View Portal

Science.gov (United States)

Pisut, D.; Powell, A. M.; Loomis, T.; Goel, V.; Mills, B.; Cowan, D.

2013-12-01

NOAA curates a vast treasure trove of environmental data, but one that is sometimes not easily accessed, especially for education, outreach, and media purposes. Traditional data portals in NOAA require extensive knowledge of the specific names of observation platforms, models, and analyses, along with nomenclature for variable outputs. A new website and web mapping service (WMS) from NOAA attempts to remedy such issues. The NOAA View data imagery portal provides a seamless entry point into data from across the agency: satellite, models, in-situ analysis, etc. The system provides the user with ability to browse, animate, and download high resolution (e.g., 4,000 x 2,000 pixel) imagery, Google Earth, and even proxy data files. The WMS architecture also allows the resources to be ingested into other software systems or applications.

Variations in return value estimate of ocean surface waves - a study based on measured buoy data and ERA-Interim reanalysis data

Science.gov (United States)

Muhammed Naseef, T.; Sanil Kumar, V.

2017-10-01

An assessment of extreme wave characteristics during the design of marine facilities not only helps to ensure their safety but also assess the economic aspects. In this study, return levels of significant wave height (Hs) for different periods are estimated using the generalized extreme value distribution (GEV) and generalized Pareto distribution (GPD) based on the Waverider buoy data spanning 8 years and the ERA-Interim reanalysis data spanning 38 years. The analysis is carried out for wind-sea, swell and total Hs separately for buoy data. Seasonality of the prevailing wave climate is also considered in the analysis to provide return levels for short-term activities in the location. The study shows that the initial distribution method (IDM) underestimates return levels compared to GPD. The maximum return levels estimated by the GPD corresponding to 100 years are 5.10 m for the monsoon season (JJAS), 2.66 m for the pre-monsoon season (FMAM) and 4.28 m for the post-monsoon season (ONDJ). The intercomparison of return levels by block maxima (annual, seasonal and monthly maxima) and the r-largest method for GEV theory shows that the maximum return level for 100 years is 7.20 m in the r-largest series followed by monthly maxima (6.02 m) and annual maxima (AM) (5.66 m) series. The analysis is also carried out to understand the sensitivity of the number of observations for the GEV annual maxima estimates. It indicates that the variations in the standard deviation of the series caused by changes in the number of observations are positively correlated with the return level estimates. The 100-year return level results of Hs using the GEV method are comparable for short-term (2008 to 2016) buoy data (4.18 m) and long-term (1979 to 2016) ERA-Interim shallow data (4.39 m). The 6 h interval data tend to miss high values of Hs, and hence there is a significant difference in the 100-year return level Hs obtained using 6 h interval data compared to data at 0.5 h interval. The

NOAA Polyline Shapefile - ROV transects, US Caribbean - south of Vieques and in and around the Grand Reserve northeast of Puerto Rico (2013)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This polyline shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely...

NOAA Polyline Shapefile - ROV transects, US Caribbean - Isla de Vieques, Puerto Rico - Project NF-09-01 - (2009), UTM 20N NAD83

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

NOAA Point Shapefile - ROV transects, US Caribbean - Isla de Vieques, Puerto Rico - Project NF-09-01 - (2009), UTM 20N NAD83

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

77 FR 32572 - (NOAA) National Climate Assessment and Development Advisory Committee (NCADAC)

Science.gov (United States)

2012-06-01

... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration (NOAA) National Climate... (OAR), National Oceanic and Atmospheric Administration (NOAA), Department of Commerce (DOC). ACTION... page http:// www.nesdis.noaa.gov/NCADAC/ [[Page 32573

Developing Vocabularies to Improve Understanding and Use of NOAA Observing Systems

Science.gov (United States)

Austin, M.

2014-12-01

The NOAA Observing System Integrated Analysis project (NOSIA II), is an attempt to capture and tell the story of how valuable observing systems are in producing products and services that are required to fulfill the NOAA's diverse mission. NOAA's goals and mission areas cover a broad range of environmental data; a complexity exists in terms and vocabulary as applied to the creation of observing system derived products. The NOSIA data collection focused first on decomposing NOAA's goals in the creation and acceptance of Mission Service Areas (MSAs) by NOAA senior leadership. Products and services that supported the MSAs were then identified through the process of interviewing product producers across NOAA organization. Product Data inputs including models, databases and observing system were also identified. The NOSIA model contains over 20,000 nodes each representing levels in a network connecting products, datasources, users and desired outcomes. An immediate need became apparent that the complexity and variety of the data collected required data management to mature the quality and the content of the NOSIA model. The NOSIA Analysis Database (ADB) was developed initially to improve consistency of terms and data types to allow for the linkage of observing systems, products and NOAA's Goals and mission. The ADB also allowed for the prototyping of reports and product generation in an easily accessible and comprehensive format for the first time. Web based visualization of relationships between products, datasources, users, producers were generated to make the information easily understood This includes developing ontologies/vocabularies that are used for the development of users type specific products for NOAA leadership, Observing System Portfolio mangers and the users of NOAA data.

15 CFR 971.802 - Public disclosure of documents received by NOAA.

Science.gov (United States)

2010-01-01

... received by NOAA. 971.802 Section 971.802 Commerce and Foreign Trade Regulations Relating to Commerce and... Miscellaneous § 971.802 Public disclosure of documents received by NOAA. (a) Purpose. This section provides a... assure that NOAA has a complete and proper basis for determining the legality and appropriateness of...

Transition of NOAA's GPS-Met Data Acquisition and Processing System to the Commercial Sector

Science.gov (United States)

Jackson, M. E.; Holub, K.; Callahan, W.; Blatt, S.

2014-12-01

In April of 2014, NOAA/OAR/ESRL Global Systems Division (GSD) and Trimble, in collaboration with Earth Networks, Inc. (ENI) signed a Cooperative Research and Development Agreement (CRADA) to transfer the existing NOAA GPS-Met Data Acquisition and Processing System (GPS-Met DAPS) technology to a commercial Trimble/ENI partnership. NOAA's GPS-Met DAPS is currently operated in a pseudo-operational mode but has proven highly reliable and running at over 95% uptime. The DAPS uses the GAMIT software to ingest dual frequency carrier phase GPS/GNSS observations and ancillary information such as real-time satellite orbits to estimate the zenith-scaled tropospheric (ZTD) signal delays and, where surface MET data are available, retrieve integrated precipitable water vapor (PWV). The NOAA data and products are made available to end users in near real-time. The Trimble/ENI partnership will use the Trimble Pivot™ software with the Atmosphere App to calculate zenith tropospheric (ZTD), tropospheric slant delay, and integrated precipitable water vapor (PWV). Evaluation of the Trimble software is underway starting with a comparison of ZTD and PWV values determined from GPS stations located near NOAA Radiosonde Observation (Upper-Air Observation) launch sites. A success metric was established that requires Trimble's PWV estimates to match ESRL/GSD's to within 1.5 mm 95% of the time, which corresponds to a ZTD uncertainty of less than 10 mm 95% of the time. Initial results indicate that Trimble/ENI data meet and exceed the ZTD metric, but for some stations PWV estimates are out of specification. These discrepancies are primarily due to how offsets between MET and GPS stations are handled and are easily resolved. Additional test networks are proposed that include low terrain/high moisture variability stations, high terrain/low moisture variability stations, as well as high terrain/high moisture variability stations. We will present results from further testing along with a timeline

Cloud-based calculators for fast and reliable access to NOAA's geomagnetic field models

Science.gov (United States)

Woods, A.; Nair, M. C.; Boneh, N.; Chulliat, A.

2017-12-01

While the Global Positioning System (GPS) provides accurate point locations, it does not provide pointing directions. Therefore, the absolute directional information provided by the Earth's magnetic field is of primary importance for navigation and for the pointing of technical devices such as aircrafts, satellites and lately, mobile phones. The major magnetic sources that affect compass-based navigation are the Earth's core, its magnetized crust and the electric currents in the ionosphere and magnetosphere. NOAA/CIRES Geomagnetism (ngdc.noaa.gov/geomag/) group develops and distributes models that describe all these important sources to aid navigation. Our geomagnetic models are used in variety of platforms including airplanes, ships, submarines and smartphones. While the magnetic field from Earth's core can be described in relatively fewer parameters and is suitable for offline computation, the magnetic sources from Earth's crust, ionosphere and magnetosphere require either significant computational resources or real-time capabilities and are not suitable for offline calculation. This is especially important for small navigational devices or embedded systems, where computational resources are limited. Recognizing the need for a fast and reliable access to our geomagnetic field models, we developed cloud-based application program interfaces (APIs) for NOAA's ionospheric and magnetospheric magnetic field models. In this paper we will describe the need for reliable magnetic calculators, the challenges faced in running geomagnetic field models in the cloud in real-time and the feedback from our user community. We discuss lessons learned harvesting and validating the data which powers our cloud services, as well as our strategies for maintaining near real-time service, including load-balancing, real-time monitoring, and instance cloning. We will also briefly talk about the progress we achieved on NOAA's Big Earth Data Initiative (BEDI) funded project to develop API

NOAA NDBC SOS - waves

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA NDBC SOS server is part of the IOOS DIF SOS Project. The stations in this dataset have waves data. Because of the nature of SOS requests, requests for data...

Directional wave and temperature data from seven buoys at Point Reyes, CA, 1996-2002 (NODC Accession 0000760)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Wave data were collected from 7 buoys in Point Reyes, California, from 06 December 1996 to 25 July 2002. Data were collected as part of the Coastal Data Information...

Directional wave and temperature data from nine buoys in Gray's Harbor, Washington, 1994-2002 (NODC Accession 0000756)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Wave data were collected from 9 buoys in Grays Harbor, Washington, from 01 January 1994 to 24 July 2002. Data were collected as part of the Coastal Data Information...

NOAA Polyline Shapefile - ROV transects, US Caribbean - Western Puerto Rico - Project NF-08-04 - (2008), UTM 19N NAD83 (NCEI Accession 0131852)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

NOAA Point Shapefile - ROV transects, US Caribbean - St. Thomas and St. John - Project NF-03-10-USVI - (2010), UTM 20N NAD83

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

NOAA Point Shapefile - ROV transects, US Caribbean - Western Puerto Rico - Project NF-08-04 - (2008), UTM 19N NAD83 (NCEI Accession 0131852)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

NOAA Polyline Shapefile - ROV transects, US Caribbean - St. Thomas and St. John - Project NF-03-10-USVI - (2010), UTM 20N NAD83

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

NOAA Workforce Management Office

Science.gov (United States)

Assault and Harassment Prevention and Response Policy NOAA Sexual Assault and Sexual Harassment Helpline Classification System How to Develop a Specialty Descriptor Request form for an addition to the ACS Workplace Program (PCO-LDP) Workplace Resources Alternative Dispute Resolution (ADR) Employee Assistance Program

TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1997-present, Precipitation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily Precipitation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Monthly, 1987-present, Salinity

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has monthly Salinity data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 1977-present, Temperature

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has quarterly Temperature data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1989-present, Evaporation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily Evaporation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Monthly, 1989-present, Evaporation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has monthly Evaporation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 1989-present, Evaporation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has quarterly Evaporation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 1980-present, Position

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has quarterly Position data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1980-present, Position

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily Position data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Monthly, 1980-present, Position

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has monthly Position data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 1977-present, Wind

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has quarterly Wind data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

75 FR 5765 - NOAA Coastal and Marine Habitat Restoration Project Supplemental Funding

Science.gov (United States)

2010-02-04

...-02] RIN 0648-ZC05 NOAA Coastal and Marine Habitat Restoration Project Supplemental Funding AGENCY: National Marine Fisheries Service (NMFS), National Oceanic and Atmospheric Administration (NOAA), Commerce. ACTION: Notice of supplemental funding for NOAA Coastal and Marine Habitat Restoration Projects. SUMMARY...

Data management in NOAA

Science.gov (United States)

Callicott, William M.

1993-01-01

The NOAA archives contain 150 terabytes of data in digital form, most of which are the high volume GOES satellite image data. There are 630 data bases containing 2,350 environmental variables. There are 375 million film records and 90 million paper records in addition to the digital data base. The current data accession rate is 10 percent per year and the number of users are increasing at a 10 percent annual rate. NOAA publishes 5,000 publications and distributes over one million copies to almost 41,000 paying customers. Each year, over six million records are key entered from manuscript documents and about 13,000 computer tapes and 40,000 satellite hardcopy images are entered into the archive. Early digital data were stored on punched cards and open reel computer tapes. In the late seventies, an advanced helical scan technology (AMPEX TBM) was implemented. Now, punched cards have disappeared, the TBM system was abandoned, most data stored on open reel tapes have been migrated to 3480 cartridges, many specialized data sets were distributed on CD ROM's, special archives are being copied to 12 inch optical WORM disks, 5 1/4 inch magneto-optical disks were employed for workstation applications, and 8 mm EXABYTE tapes are planned for major data collection programs. The rapid expansion of new data sets, some of which constitute large volumes of data, coupled with the need for vastly improved access mechanisms, portability, and improved longevity are factors which will influence NOAA's future systems approaches for data management.

NOAA Point Shapefile - Drop Camera transects, US Caribbean - Western Puerto Rico - Project NF-07-06-USVI-HAB - (2007), UTM 19N NAD83

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a drop camera system. Photos and/or video were...

NOAA Polyline Shapefile - Drop Camera transects, US Caribbean - Western Puerto Rico - Project NF-07-06-USVI-HAB - (2007), UTM 19N NAD83

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a drop camera system. Photos and/or video were...

Improvement of tsunami detection in timeseries data of GPS buoys with the Continuous Wavelet Transform

Science.gov (United States)

Chida, Y.; Takagawa, T.

2017-12-01

The observation data of GPS buoys which are installed in the offshore of Japan are used for monitoring not only waves but also tsunamis in Japan. The real-time data was successfully used to upgrade the tsunami warnings just after the 2011 Tohoku earthquake. Huge tsunamis can be easily detected because the signal-noise ratio is high enough, but moderate tsunami is not. GPS data sometimes include the error waveforms like tsunamis because of changing accuracy by the number and the position of GPS satellites. To distinguish the true tsunami waveforms from pseudo-tsunami ones is important for tsunami detection. In this research, a method to reduce misdetections of tsunami in the observation data of GPS buoys and to increase the efficiency of tsunami detection was developed.Firstly, the error waveforms were extracted by using the indexes of position dilution of precision, reliability of GPS satellite positioning and satellite number for calculation. Then, the output from this procedure was used for the Continuous Wavelet Transform (CWT) to analyze the time-frequency characteristics of error waveforms and real tsunami waveforms.We found that the error waveforms tended to appear when the accuracy of GPS buoys positioning was low. By extracting these waveforms, it was possible to decrease about 43% error waveforms without the reduction of the tsunami detection rate. Moreover, we found that the amplitudes of power spectra obtained from the error waveforms and real tsunamis were similar in the component of long period (4-65 minutes), on the other hand, the amplitude in the component of short period (< 1 minute) obtained from the error waveforms was significantly larger than that of the real tsunami waveforms. By thresholding of the short-period component, further extraction of error waveforms became possible without a significant reduction of tsunami detection rate.

NOAA Freedom of Information Act (FOIA) Training and Tutorials

Science.gov (United States)

conferences held by OIP on topical issues related to improving transparency. For more information, please Oceanic and Atmospheric Administration Office Freedom of Information Act (FOIA) HOME CoNtact Search NOAA in your State Budget Information Emergency Information for NOAA Employees Items of Interest for

76 FR 4091 - Proposed Information Collection; Comment Request; Certification Requirements for NOAA's...

Science.gov (United States)

2011-01-24

... Collection; Comment Request; Certification Requirements for NOAA's Hydrographic Product Quality Assurance Program AGENCY: National Oceanic and Atmospheric Administration (NOAA), Commerce. ACTION: Notice. SUMMARY... and instructions should be directed to David B. Enabnit, (301) 713-2770 x132, [email protected]noaa.gov...

NOAA Coastal Change Analysis Program (C-CAP) Land Cover and Change Data, UTM NAD83 Zone 15, NOAA (2006) [landcover_la_noaa_2005.tif

Data.gov (United States)

Louisiana Geographic Information Center — This is a final classification. It is ready for distribution pending review by NOAA-CSC staff. This data set is the pre-hurricane Katrina 2005-era classification of...

The first demonstration of a microbial fuel cell as a viable power supply: Powering a meteorological buoy

Science.gov (United States)

Tender, Leonard M.; Gray, Sam A.; Groveman, Ethan; Lowy, Daniel A.; Kauffman, Peter; Melhado, Julio; Tyce, Robert C.; Flynn, Darren; Petrecca, Rose; Dobarro, Joe

2008-05-01

Here we describe the first demonstration of a microbial fuel cell (MFC) as a practical alternative to batteries for a low-power consuming application. The specific application reported is a meteorological buoy (ca. 18-mW average consumption) that measures air temperature, pressure, relative humidity, and water temperature, and that is configured for real-time line-of-sight RF telemetry of data. The specific type of MFC utilized in this demonstration is the benthic microbial fuel cell (BMFC). The BMFC operates on the bottom of marine environments, where it oxidizes organic matter residing in oxygen depleted sediment with oxygen in overlying water. It is maintenance free, does not deplete (i.e., will run indefinitely), and is sufficiently powerful to operate a wide range of low-power marine-deployed scientific instruments normally powered by batteries. Two prototype BMFCs used to power the buoy are described. The first was deployed in the Potomac River in Washington, DC, USA. It had a mass of 230 kg, a volume of 1.3 m3, and sustained 24 mW (energy equivalent of ca. 16 alkaline D-cells per year at 25 °C). Although not practical due to high cost and extensive in-water manipulation required to deploy, it established the precedence that a fully functional scientific instrument could derive all of its power from a BMFC. It also provided valuable lessons for developing a second, more practical BMFC that was subsequently used to power the buoy in a salt marsh near Tuckerton, NJ, USA. The second version BMFC has a mass of 16 kg, a volume of 0.03 m3, sustains ca. 36 mW (energy equivalent of ca. 26 alkaline D-cells per year at 25 °C), and can be deployed by a single person from a small craft with minimum or no in-water manipulation. This BMFC is being further developed to reduce cost and enable greater power output by electrically connecting multiple units in parallel. Use of this BMFC powering the meteorological buoy highlights the potential impact of BMFCs to enable long

NOAA Line Shapefile- Locations of Phantom S2 ROV Underwater Video Transects, US Virgin Islands, Project NF-05-05, 2005, UTM 20N WGS84

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains a line shapefile showing the trackline of various Remotely Operated Vehicle (ROV) underwater video transects in the US Virgin Islands.NOAA's...

Tide Predictions, California, 2014, NOAA

Data.gov (United States)

U.S. Environmental Protection Agency — The predictions from the web based NOAA Tide Predictions are based upon the latest information available as of the date of the user's request. Tide predictions...

NOAA's Hydrographic Surveys and Reports

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data to support the compilation of nautical charts and...

TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1988-2015, ADCP

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily Acoustic Doppler Current Profiler (ADCP) water currents data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA...

TAO/TRITON, RAMA, and PIRATA Buoys, Monthly, 1988-2015, ADCP

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has monthly Acoustic Doppler Current Profiler (ADCP) water currents data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA...

TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 1988-2015, ADCP

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has quarterly Acoustic Doppler Current Profiler (ADCP) water currents data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA...

NOAA's Scientific Data Stewardship Program

Science.gov (United States)

Bates, J. J.

2004-12-01

The NOAA mission is to understand and predict changes in the Earth's environment and conserve and manage coastal and marine resources to meet the Nation's economic, social and environmental needs. NOAA has responsibility for long-term archiving of the United States environmental data and has recently integrated several data management functions into a concept called Scientific Data Stewardship. Scientific Data Stewardship a new paradigm in data management consisting of an integrated suite of functions to preserve and exploit the full scientific value of NOAA's, and the world's, environmental data These functions include careful monitoring of observing system performance for long-term applications, the generation of authoritative long-term climate records from multiple observing platforms, and the proper archival of and timely access to data and metadata. NOAA has developed a conceptual framework to implement the functions of scientific data stewardship. This framework has five objectives: 1) develop real-time monitoring of all satellite observing systems for climate applications, 2) process large volumes of satellite data extending up to decades in length to account for systematic errors and to eliminate artifacts in the raw data (referred to as fundamental climate data records, FCDRs), 3) generate retrieved geophysical parameters from the FCDRs (referred to as thematic climate data records TCDRs) including combining observations from all sources, 4) conduct monitoring and research by analyzing data sets to uncover climate trends and to provide evaluation and feedback for steps 2) and 3), and 5) provide archives of metadata, FCDRs, and TCDRs, and facilitate distribution of these data to the user community. The term `climate data record' and related terms, such as climate data set, have been used for some time, but the climate community has yet to settle on a concensus definition. A recent United States National Academy of Sciences report recommends using the

NOAA Composite Shoreline - Vectorized Shoreline Derived From NOAA-NOS Coastal Survey Maps and Aerial Photographs

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA Composite Shoreline is primarily intended for high-resolution cartographic representation of the shoreline. It is a high-resolution vector shoreline based...

Education Strategic Plan 2015-2035: Advancing NOAA's Mission through Education. Executive Summary

Science.gov (United States)

National Oceanic and Atmospheric Administration, 2016

2016-01-01

The National Oceanic and Atmospheric Administration (NOAA) Education Strategic Plan provides a framework to guide collaboration across the NOAA education community and a structure in which to track and report progress. Congress recognized the importance of NOAA's education programs with the passage of the America COMPETES Act. The America COMPETES…

NOAA Shapefile - Drop Camera Transects Lines, USVI 2011 , Seafloor Characterization of the US Caribbean - Nancy Foster - NF-11-1 (2011), UTM 20N NAD83

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater video that was collected by NOAA scientists using a SeaViewer drop camera system. Video was collected between...

77 FR 35271 - Safety Zone; NOAA Vessel Rueben Lasker Launch, Marinette, WI

Science.gov (United States)

2012-06-13

...-AA00 Safety Zone; NOAA Vessel Rueben Lasker Launch, Marinette, WI AGENCY: Coast Guard, DHS. ACTION... during the launching of the NOAA vessel, Rueben Lasker, on June 16, 2012. This temporary safety zone is... preceding paragraph, a 30 day notice period would also be impractical. B. Basis and Purpose The NOAA vessel...

NOAA & Academia Partnership Building Conference. Highlights (3rd, Washington, DC, November 14-15, 2001).

Science.gov (United States)

National Oceanic and Atmospheric Administration (DOC), Silver Spring, MD.

In November 2001 the National Oceanic and Atmospheric Administration (NOAA) hosted the third NOAA and Academia Partnership to evaluate, maintain, and expand on efforts to optimize NOAA-university cooperation. Close partnership between the NOAA and U.S. universities has produced many benefits for the U.S. economy and the environment. Based on the…

NOAA Raster Navigational Charts (RNC)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA, National Ocean Service, Office of Coast Survey, Marine Chart Division is responsible to build and maintain a suite of more than 1000 nautical charts that are...

Performance analysis of NOAA tropospheric signal delay model

International Nuclear Information System (INIS)

Ibrahim, Hassan E; El-Rabbany, Ahmed

2011-01-01

Tropospheric delay is one of the dominant global positioning system (GPS) errors, which degrades the positioning accuracy. Recent development in tropospheric modeling relies on implementation of more accurate numerical weather prediction (NWP) models. In North America one of the NWP-based tropospheric correction models is the NOAA Tropospheric Signal Delay Model (NOAATrop), which was developed by the US National Oceanic and Atmospheric Administration (NOAA). Because of its potential to improve the GPS positioning accuracy, the NOAATrop model became the focus of many researchers. In this paper, we analyzed the performance of the NOAATrop model and examined its effect on ionosphere-free-based precise point positioning (PPP) solution. We generated 3 year long tropospheric zenith total delay (ZTD) data series for the NOAATrop model, Hopfield model, and the International GNSS Services (IGS) final tropospheric correction product, respectively. These data sets were generated at ten IGS reference stations spanning Canada and the United States. We analyzed the NOAATrop ZTD data series and compared them with those of the Hopfield model. The IGS final tropospheric product was used as a reference. The analysis shows that the performance of the NOAATrop model is a function of both season (time of the year) and geographical location. However, its performance was superior to the Hopfield model in all cases. We further investigated the effect of implementing the NOAATrop model on the ionosphere-free-based PPP solution convergence and accuracy. It is shown that the use of the NOAATrop model improved the PPP solution convergence by 1%, 10% and 15% for the latitude, longitude and height components, respectively

WATER TEMPERATURE and Other Data from DRIFTING BUOY From World-Wide Distribution from 19910101 to 19910331 (NODC Accession 9100101)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Drifting Buoy Data from the Canadian Data Center, submitted by Mr. Gerald P Lesblam, Marine Environmental Data Service (MEDS) Ottawa, Ontario, Canada in GF-3 format...

WATER TEMPERATURE and Other Data from DRIFTING BUOY From World-Wide Distribution from 19781122 to 19810113 (NODC Accession 8600071)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — 359 Drifting Surface Buoys were deployed in the Southern Hemisphere oceans from November 22, 1978 to January 13, 1981 as part of the First Global Atmospheric...

NOAA Polyline Shapefile - ROV transects, US Caribbean - Isla de Vieques, Puerto Rico - Project NF-09-01 - (2009), UTM 20N NAD83 (NCEI Accession 0131857)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

NOAA Point Shapefile - ROV transects, US Caribbean - Isla de Vieques, Puerto Rico - Project NF-09-01 - (2009), UTM 20N NAD83 (NCEI Accession 0131857)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

75 FR 55541 - NOAA Regional Ocean Partnership Funding Program-FY2011 Funding Competition

Science.gov (United States)

2010-09-13

...-01] RIN 0648-ZC20 NOAA Regional Ocean Partnership Funding Program--FY2011 Funding Competition AGENCY: National Ocean Service, National Oceanic and Atmospheric Administration (NOAA), Department of Commerce...-profit organizations (requirements described in full announcement) that NOAA is soliciting proposals for...

NOAA NOS SOS, EXPERIMENTAL - Currents

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA NOS SOS server is part of the IOOS DIF SOS Project. The stations in this dataset have currents data. *These services are for testing and evaluation use...

78 FR 37795 - Draft NOAA Procedures for Government to Government Consultation With Federally Recognized Indian...

Science.gov (United States)

2013-06-24

... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration RIN 0648-XC726 Draft NOAA... Oceanic and Atmospheric Administration (NOAA), Commerce. ACTION: Notice; request for comments. SUMMARY: NOAA announces the availability of and request for comments on the Draft NOAA Procedures for Government...

NOAA NOS SOS, EXPERIMENTAL - Wind

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA NOS SOS server is part of the IOOS DIF SOS Project. The stations in this dataset have wind data. *These services are for testing and evaluation use only*...

Meteorological and other data from moored buoys in Prince William Sound (Gulf of Alaska) in support of the Sound Ecosystem Analysis (SEAS) project from 08 October 1991 to 16 December 1998 (NODC Accession 0000482)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Meteorological and other data were collected from Prince William Sound (Gulf of Alaska) from moored buoys from 08 October 1991 to 16 December 1998. Buoys are part of...

NOAA Polyline Shapefile - Drop Camera transects, US Caribbean Virgin Passage and St. John Shelf - Project NF-03-10-USVI-HAB - (2010), UTM 20N NAD83

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater video that was collected by NOAA scientists using a SeaViewer drop camera system. Video was collected between...

The NOAA Satellite Observing System Architecture Study

Science.gov (United States)

Volz, Stephen; Maier, Mark; Di Pietro, David

2016-01-01

NOAA is beginning a study, the NOAA Satellite Observing System Architecture (NSOSA) study, to plan for the future operational environmental satellite system that will follow GOES and JPSS, beginning about 2030. This is an opportunity to design a modern architecture with no pre-conceived notions regarding instruments, platforms, orbits, etc. The NSOSA study will develop and evaluate architecture alternatives to include partner and commercial alternatives that are likely to become available. The objectives will include both functional needs and strategic characteristics (e.g., flexibility, responsiveness, sustainability). Part of this study is the Space Platform Requirements Working Group (SPRWG), which is being commissioned by NESDIS. The SPRWG is charged to assess new or existing user needs and to provide relative priorities for observational needs in the context of the future architecture. SPRWG results will serve as input to the process for new foundational (Level 0 and Level 1) requirements for the next generation of NOAA satellites that follow the GOES-R, JPSS, DSCOVR, Jason-3, and COSMIC-2 missions.

TSUNAMI HAZARD MITIGATION AND THE NOAA NATIONAL WATER LEVEL OBSERVATION NETWORK

Directory of Open Access Journals (Sweden)

James R. Hubbard

2002-01-01

Full Text Available With the renewed interest in regional Tsunami Warning Systems and the potential tsunami threats throughout the Caribbean and West coast of the United States, the National Ocean Service (NOS, National Water Level Observation Network (NWLON consisting of 175 primary stations, is well situated to play a role in the National Hazard Mitigation effort. In addition, information regarding local mean sea level trends and GPS derived geodetic datum relationships at numerous coastal locations is readily available for tsunami hazard assessment and mapping applications.Tsunami inundation maps and modeling are just two of the more important products which may be derived from NWLON data. In addition to the seven water level gauges that are hardwired into the West Coast and Alaska Tsunami Warning Center (WClATWC, NOS has a significant number of gauges with real-time satellite telemetry capabilities located along the Pacific Northwest coastline, the Gulf of Mexico and the Caribbean. These gauges, in concert with near shore buoy systems, have the potential for increasing the effectiveness of the existing tsunami warning system.The recent expansion of the Caribbean Sea Level Gauge Network through the NOS regional partnerships with Central American and Caribbean countries have opened an opportunity for a basin-wide tsunami warning network in a region which is ill prepared for a major tsunami event.

TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1989-present, Wind Stress

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily Wind Stress data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 2000-present, Buoyancy Flux

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has quarterly Buoyancy Flux data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Monthly, 1989-present, Wind Stress

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has monthly Wind Stress data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, 5-Day, 1989-present, Evaporation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has 5-day Evaporation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Monthly, 2000-present, Buoyancy Flux

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has monthly Buoyancy Flux data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, 5-Day, 1977-present, Temperature

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has 5-day Temperature data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 1980-present, Heat Content

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has quarterly Heat Content data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, 5-Day, 1980-present, Position

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has 5-day Position data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

Marine and Anadromous Fish :: NOAA Fisheries

Science.gov (United States)

Conservation Commission bocaccio Bocaccio (Sebastes paucispinis) Photo: NOAA sand tiger shark Sand Tiger Shark Updated: June 29, 2017 Fisheries Service Home Information Quality Exit Disclaimer Linking Policy Privacy

NUCAPS: NOAA Unique Combined Atmospheric Processing System Cloud-Cleared Radiances (CCR)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset consists of Cloud-Cleared Radiances (CCRs) from the NOAA Unique Combined Atmospheric Processing System (NUCAPS). NUCAPS was developed by the NOAA/NESDIS...

Data from a Directional Waverider Buoy off Waimea Bay, North Shore, Oahu during December 2001 - July 2004 (NODC Accession 0001626)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Through various funding channels, the Department of Oceanography at the University of Hawaii (UH) has maintained a Datawell Directional Waverider Buoy roughly 5 km...

Data from a Directional Waverider Buoy off Kailua Bay, Windward Oahu, Hawaii during August 2000 - July 2004 (NODC Accession 0001660)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Through various funding channels, the Department of Oceanography at the University of Hawaii (UH) has maintained a Datawell Mark 2 Directional Waverider Buoy roughly...

NOAA Point Shapefile - ROV transects, US Caribbean - St. Thomas and St. John - Project NF-03-10-USVI - (2010), UTM 20N NAD83 (NCEI Accession 0131854)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

NOAA Polyline Shapefile - ROV transects, US Caribbean - St. Thomas and St. John - Project NF-03-10-USVI - (2010), UTM 20N NAD83 (NCEI Accession 0131854)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a Spectrum Phantom S2 ROV (remotely operated...

NOAA Point Shapefile - Drop Camera transects, US Caribbean - Virgin Passage and St. John Shelf - Project NF-03-10-USVI-HAB - (2010), UTM 20N NAD83

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater video that was collected by NOAA scientists using a SeaViewer drop camera system. For more information about this...

75 FR 82377 - NOAA's Office of Ocean Exploration and Research (OER) Strategic Plan FY 2011-FY 2015

Science.gov (United States)

2010-12-30

... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration (NOAA) NOAA's Office of... Administration (NOAA), Commerce. ACTION: Notice of availability and request for public comment. SUMMARY: NOAA's...: Yvette Jefferson. Mail: NOAA Office of Ocean Exploration and Research (OER), ATTN: OER Plan Comments...

TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 2000-present, Longwave Radiation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has quarterly Incoming Longwave Radiation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Monthly, 2000-present, Longwave Radiation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has monthly Incoming Longwave Radiation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 2000-present, Longwave Radiation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily Incoming Longwave Radiation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

NOAA Surveys; Stabalizing Economy and Ecology on The U.S. Coast

Science.gov (United States)

Hylton, L. L.

2008-12-01

NOAA TEACHER AT SEA: LISHA LANDER HYLTON ONBOARD NOAA SHIP: DELAWARE II JUNE 29TH -JULY 11TH, 2008 MISSION: The mission of my trip with NOAA was to provide me (a teacher of third grade students) an extraordinary opportunity to take part in genuine-world experiences being conducted by NOAA in order for me to achieve a clearer insight into our ocean planet and a superior perceptive of NOAA-related careers. With the knowledge that I obtained on-board THE DELAWAREII - I am now able to teach the lesson plans created on my field study to my students, giving them insight as to how much power they have on their lives and this world we live in. My students are able to play a part in maritime activities as we study together, valuing the work and expertise that is required to sustain oceanic and atmospheric research. The students' enthusiasm, inquisitiveness and yearning to learn is only heightened with the hands-on, motivational activities that I gained from my research with this NOAA team. As a Part of this NOAA team, on-board we conducted clam surveys at various stations along the northeastern coast of the United States. I learned that clams are a very important part of economy and ecology in this region. Surveying clams and other marine species was performed on my field study with NOAA for the purpose of conserving marine life. NOAA realizes the importance of the fishing industry and conducts fishery surveys in order to stabilize fishery industries without destroying the marine ecosystems completely. Clams play a very important part in marine fishery; therefore these surveys are helping to maintain stability in the economy and ecology of The United States. By comparing past and present fishery surveys, our team made conclusions regarding the stability of these marine populations. After dredging, collecting, sorting, counting, measuring and weighing (clams with shells and shucked clam meat only) - the data was obtained and recorded then entered into computers filed under

Magnetic and Velocity Field Variations in the Active Regions NOAA ...

Indian Academy of Sciences (India)

Abstract. We study the magnetic and velocity field evolution in the two magnetically complex active regions NOAA 10486 and NOAA 10488 observed during October–November 2003. We have used the available data to examine net flux and Doppler velocity time profiles to identify changes associated with evolutionary and ...

Monitoring natural vegetation in Southern Greenland using NOAA AVHRR and field measurements

DEFF Research Database (Denmark)

Hansen, Birger Ulf

1991-01-01

vegetation, sheep farming, biomass production, Remote Sensing, NOAA AVHRR, Southern Greenland, NDVI......vegetation, sheep farming, biomass production, Remote Sensing, NOAA AVHRR, Southern Greenland, NDVI...

NOAA Point Shapefile - Drop Camera transects, US Caribbean - Western Puerto Rico - Project NF-07-06-USVI-HAB - (2007), UTM 19N NAD83 (NCEI Accession 0131853)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a drop camera system. Photos and/or video were...

NOAA Polyline Shapefile - Drop Camera transects, US Caribbean - Western Puerto Rico - Project NF-07-06-USVI-HAB - (2007), UTM 19N NAD83 (NCEI Accession 0131853)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a drop camera system. Photos and/or video were...

Contributions of the NOAA Hollings Undergraduate Scholarship Program to the Geosciences Pipeline

Science.gov (United States)

Kaplan, M.

2016-12-01

Since 2005, the NOAA Ernest F. Hollings Undergraduate Scholarship Program has provided tuition support and paid summer internship opportunities at NOAA to exceptional students majoring in the geosciences. The purpose of the scholarship program is to train students in NOAA mission fields. Multiple methods were used to track the career trajectories of Hollings alumni, including mining LinkedIn data, conducting an impact analysis based on a professionally developed web-based evaluation survey, and a web-based alumni update system. At least one postgraduate record was recorded for 80% of Hollings Scholarship alumni. Of the alumni reached, more than 75% continued on to graduate school in a NOAA mission field, and 86% of those graduate degrees were in a NOAA mission field or other STEM field. More than 60% of alumni had at least one professional record, with the most alumni working in private industry, followed by nongovernmental organizations and federal, state and local government.

TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 1992-present, Sigma-Theta

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has quarterly Sigma-Theta (Potential Density Anomaly) data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

Big Data Discovery and Access Services through NOAA OneStop

Science.gov (United States)

Casey, K. S.; Neufeld, D.; Ritchey, N. A.; Relph, J.; Fischman, D.; Baldwin, R.

2017-12-01

The NOAA OneStop Project was created as a pathfinder effort to to improve the discovery of, access to, and usability of NOAA's vast and diverse collection of big data. OneStop is led by the NOAA/NESDIS National Centers for Environmental Information (NCEI), and is seen as a key NESDIS contribution to NOAA's open data and data stewardship efforts. OneStop consists of an entire framework of services, from storage and interoperable access services at the base, through metadata and catalog services in the middle, to a modern user interface experience at the top. Importantly, it is an open framework where external tools and services can connect at whichever level is most appropriate. Since the beta release of the OneStop user interface at the 2016 Fall AGU meeting, significant progress has been made improving and modernizing many NOAA data collections to optimize their use within the framework. In addition, OneStop has made progress implementing robust metadata management and catalog systems at the collection and granule level and improving the user experience with the web interface. This progress will be summarized and the results of extensive user testing including professional usability studies will be reviewed. Key big data technologies supporting the framework will be presented and a community input sought on the future directions of the OneStop Project.

TAO/TRITON, RAMA, and PIRATA Buoys, 5-Day, 1988-2015, ADCP

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has 5-day Acoustic Doppler Current Profiler (ADCP) water currents data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA...

77 FR 40341 - Proposed Information Collection; Comment Request; Application for Appointment in the NOAA...

Science.gov (United States)

2012-07-09

... Collection; Comment Request; Application for Appointment in the NOAA Commissioned Officer Corps AGENCY: National Oceanic and Atmospheric Administration (NOAA), Commerce. ACTION: Notice. SUMMARY: The Department... and instructions should be directed to Eric Johnson, (301) 713-7727 or [email protected]noaa.gov...

Selection of the optimum combination of responses for Wave Buoy Analogy - An approach based on local sensitivity analysis

DEFF Research Database (Denmark)

Montazeri, Najmeh; Nielsen, Ulrik Dam; Jensen, Jørgen Juncher

2016-01-01

One method to estimate the wave spectrum onboard ships is to use measured ship responses. In this method, known also as Wave Buoy Analogy, amongst various responses that are available from sensor measurements, a couple of responses (at least three) are usually utilized. Selec-tion of the best com...

GPS water level measurements for Indonesia's Tsunami Early Warning System

Directory of Open Access Journals (Sweden)

T. Schöne

2011-03-01

Full Text Available On Boxing Day 2004, a severe tsunami was generated by a strong earthquake in Northern Sumatra causing a large number of casualties. At this time, neither an offshore buoy network was in place to measure tsunami waves, nor a system to disseminate tsunami warnings to local governmental entities. Since then, buoys have been developed by Indonesia and Germany, complemented by NOAA's Deep-ocean Assessment and Reporting of Tsunamis (DART buoys, and have been moored offshore Sumatra and Java. The suite of sensors for offshore tsunami detection in Indonesia has been advanced by adding GPS technology for water level measurements.

The usage of GPS buoys in tsunami warning systems is a relatively new approach. The concept of the German Indonesian Tsunami Early Warning System (GITEWS (Rudloff et al., 2009 combines GPS technology and ocean bottom pressure (OBP measurements. Especially for near-field installations where the seismic noise may deteriorate the OBP data, GPS-derived sea level heights provide additional information.

The GPS buoy technology is precise enough to detect medium to large tsunamis of amplitudes larger than 10 cm. The analysis presented here suggests that for about 68% of the time, tsunamis larger than 5 cm may be detectable.

Developing NOAA's Climate Data Records From AVHRR and Other Data

Science.gov (United States)

Privette, J. L.; Bates, J. J.; Kearns, E. J.

2010-12-01

As part of the provisional NOAA Climate Service, NOAA is providing leadership in the development of authoritative, measurement-based information on climate change and variability. NOAA’s National Climatic Data Center (NCDC) recently initiated a satellite Climate Data Record Program (CDRP) to provide sustained and objective climate information derived from meteorological satellite data that NOAA has collected over the past 30+ years - particularly from its Polar Orbiting Environmental Satellites (POES) program. These are the longest sustained global measurement records in the world and represent billions of dollars of investment. NOAA is now applying advanced analysis methods -- which have improved remarkably over the last decade -- to the POES AVHRR and other instrument data. Data from other satellite programs, including NASA and international research programs and the Defense Meteorological Satellite Program (DMSP), are also being used. This process will unravel the underlying climate trend and variability information and return new value from the records. In parallel, NCDC will extend these records by applying the same methods to present-day and future satellite measurements, including the Joint Polar Satellite System (JPSS) and Jason-3. In this presentation, we will describe the AVHRR-related algorithm development activities that CDRP recently selected and funded through open competitions. We will particularly discuss some of the technical challenges related to adapting and using AVHRR algorithms with the VIIRS data that should become available with the launch of the NPOESS Preparatory Project (NPP) satellite in early 2012. We will also describe IT system development activities that will provide data processing and reprocessing, storage and management. We will also outline the maturing Program framework, including the strategies for coding and development standards, community reviews, independent program oversight, and research-to-operations algorithm

NOAA Global Surface Temperature (NOAAGlobalTemp)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA Global Surface Temperature Dataset (NOAAGlobalTemp) is a merged land–ocean surface temperature analysis (formerly known as MLOST) (link is external). It is...

NOAA Weather and Climate Toolkit (WCT)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA Weather and Climate Toolkit is an application that provides simple visualization and data export of weather and climatological data archived at NCDC. The...

-NOAA Shapefile - Drop Camera Transects Lines, USVI 2011 , Seafloor Characterization of the US Caribbean - Nancy Foster - NF-11-1 (2011), UTM 20N NAD83 (NCEI Accession 0131858)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater video that was collected by NOAA scientists using a SeaViewer drop camera system. Video was collected between...

SST, NOAA POES AVHRR, GAC, 0.1 degrees, Global, Day and Night

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA CoastWatch provides sea surface temperature (SST) products derived from NOAA's Polar Operational Environmental Satellites (POES). This data provides global area...

NOAA's Strategy to Improve Operational Weather Prediction Outlooks at Subseasonal Time Range

Science.gov (United States)

Schneider, T.; Toepfer, F.; Stajner, I.; DeWitt, D.

2017-12-01

NOAA is planning to extend operational global numerical weather prediction to sub-seasonal time range under the auspices of its Next Generation Global Prediction System (NGGPS) and Extended Range Outlook Programs. A unification of numerical prediction capabilities for weather and subseasonal to seasonal (S2S) timescales is underway at NOAA using the Finite Volume Cubed Sphere (FV3) dynamical core as the basis for the emerging unified system. This presentation will overview NOAA's strategic planning and current activities to improve prediction at S2S time-scales that are ongoing in response to the Weather Research and Forecasting Innovation Act of 2017, Section 201. Over the short-term, NOAA seeks to improve the operational capability through improvements to its ensemble forecast system to extend its range to 30 days using the new FV3 Global Forecast System model, and by using this system to provide reforecast and re-analyses. In parallel, work is ongoing to improve NOAA's operational product suite for 30 day outlooks for temperature, precipitation and extreme weather phenomena.

Oceanographic profile temperature, salinity and pressure measurements collected using moored buoy in the Indian Ocean from 2001-2006 (NODC Accession 0002733)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Temperature and salinity measurements in the Equatorial Indian from 2001 to 2006 from the TRITON (TRIANGLE TRANS-OCEAN BUOY NETWORK); JAPAN AGENCY FOR MARINE-EARTH...

Physical profile data collected by NOAA Ship Ronald H. Brown and NOAA Ship KA'IMIMOANA during the year 2006 in the equatorial Pacific Ocean, 2006-01 to 2006-11 (NODC Accession 0012641)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CTD data were collected in the equatorial Pacific Ocean, during 2006, to service the TAO/TRITON array, a network of deep ocean moored buoys to support research and...

NOAA budget would boost satellite funding but cut some key areas

Science.gov (United States)

Showstack, Randy

2012-03-01

The White House's proposed fiscal year (FY) 2013 budget for the National Oceanic and Atmospheric Administration (NOAA), announced on 13 February, looks favorable at first glance. The administration's request calls for $5.1 billion, an increase of $153 million (3.1%) above the FY 2012 estimated budget. However, the increase for NOAA satellites is $163 million, which means that other areas within the agency would be slated for decreased funding, including programs within the National Ocean Service (NOS), National Marine Fisheries Service (NMFS), National Weather Service (NWS), and some NOAA education programs. The proposed overall budget for the agency “reflects the overarching importance of weather satellites to public safety, to national security, and to the economy,” NOAA director Jane Lubchenco said at a 16 February briefing, noting that difficult choices were made regarding the budget. “Due to significant resources required for our weather satellites and the economic conditions in the country, other parts of our budget have been reduced, in some cases quite significantly,” she said. She added that the imperative to fund both the Joint Polar Satellite System (JPSS) and geostationary satellites in FY 2013 “imposes serious constraints on the rest of NOAA's budget.”

Data collected in conjunction with NOAA's National Status and Trends Program to examine measures of bioeffects associated with toxicants in Puget Sound sediments, May - June 1999 (NODC Accession 0000592)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Sediment samples were collected from multiple locations in the Puget Sound in support of NOAA's National Status and Trends Programs to measure the bioeffects...

Toward detection of marine vehicles on horizon from buoy camera

Science.gov (United States)

Fefilatyev, Sergiy; Goldgof, Dmitry B.; Langebrake, Lawrence

2007-10-01

This paper presents a new technique for automatic detection of marine vehicles in open sea from a buoy camera system using computer vision approach. Users of such system include border guards, military, port safety and flow management, sanctuary protection personnel. The system is intended to work autonomously, taking images of the surrounding ocean surface and analyzing them on the subject of presence of marine vehicles. The goal of the system is to detect an approximate window around the ship and prepare the small image for transmission and human evaluation. The proposed computer vision-based algorithm combines horizon detection method with edge detection and post-processing. The dataset of 100 images is used to evaluate the performance of proposed technique. We discuss promising results of ship detection and suggest necessary improvements for achieving better performance.

NOAA's National Snow Analyses

Science.gov (United States)

Carroll, T. R.; Cline, D. W.; Olheiser, C. M.; Rost, A. A.; Nilsson, A. O.; Fall, G. M.; Li, L.; Bovitz, C. T.

2005-12-01

NOAA's National Operational Hydrologic Remote Sensing Center (NOHRSC) routinely ingests all of the electronically available, real-time, ground-based, snow data; airborne snow water equivalent data; satellite areal extent of snow cover information; and numerical weather prediction (NWP) model forcings for the coterminous U.S. The NWP model forcings are physically downscaled from their native 13 km2 spatial resolution to a 1 km2 resolution for the CONUS. The downscaled NWP forcings drive an energy-and-mass-balance snow accumulation and ablation model at a 1 km2 spatial resolution and at a 1 hour temporal resolution for the country. The ground-based, airborne, and satellite snow observations are assimilated into the snow model's simulated state variables using a Newtonian nudging technique. The principle advantages of the assimilation technique are: (1) approximate balance is maintained in the snow model, (2) physical processes are easily accommodated in the model, and (3) asynoptic data are incorporated at the appropriate times. The snow model is reinitialized with the assimilated snow observations to generate a variety of snow products that combine to form NOAA's NOHRSC National Snow Analyses (NSA). The NOHRSC NSA incorporate all of the available information necessary and available to produce a "best estimate" of real-time snow cover conditions at 1 km2 spatial resolution and 1 hour temporal resolution for the country. The NOHRSC NSA consist of a variety of daily, operational, products that characterize real-time snowpack conditions including: snow water equivalent, snow depth, surface and internal snowpack temperatures, surface and blowing snow sublimation, and snowmelt for the CONUS. The products are generated and distributed in a variety of formats including: interactive maps, time-series, alphanumeric products (e.g., mean areal snow water equivalent on a hydrologic basin-by-basin basis), text and map discussions, map animations, and quantitative gridded products

Transition of NOAA's GPS-Met Data Acquisition and Processing System to the Commercial Sector: Inital Results

Science.gov (United States)

Jackson, Michael; Blatt, Stephan; Holub, Kirk

2015-04-01

In April of 2014, NOAA/OAR/ESRL Global Systems Division (GSD) and Trimble, in collaboration with Earth Networks, Inc. (ENI) signed a Cooperative Research and Development Agreement (CRADA) to transfer the existing NOAA GPS-Met Data Acquisition and Processing System (GPS-Met DAPS) technology to a commercial Trimble/ENI partnership. NOAA's GPS-Met DAPS is currently operated in a pseudo-operational mode but has proven highly reliable and running at over 95% uptime. The DAPS uses the GAMIT software to ingest dual frequency carrier phase GPS/GNSS observations and ancillary information such as real-time satellite orbits to estimate the zenith-scaled tropospheric (ZTD) signal delays and, where surface MET data are available, retrieve integrated precipitable water vapor (PWV). The NOAA data and products are made available to end users in near real-time. The Trimble/ENI partnership will use the Trimble Pivot™ software with the Atmosphere App to calculate zenith tropospheric (ZTD), tropospheric slant delay, and integrated precipitable water vapor (PWV). Evaluation of the Trimble software is underway starting with a comparison of ZTD and PWV values determined from four sub networks of GPS stations located 1. near NOAA Radiosonde Observation (Upper-Air Observation) launch sites; 2. Stations with low terrain/high moisture variability (Gulf Coast); 3. Stations with high terrain/low moisture variability (Southern California); and 4. Stations with high terrain/high moisture variability (high terrain variability elev. > 1000m). For each network GSD and T/ENI run the same stations for 30 days, compare results, and perform an evaluation of the long-term solution accuracy, precision and reliability. Metrics for success include T/ENI PWV estimates within 1.5 mm of ESRL/GSD's estimates 95% of the time (ZTD uncertainty of less than 10 mm 95% of the time). The threshold for allowable variations in ZTD between NOAA GPS-Met and T/ENI processing are 10mm. The CRADA 1&2 Trimble processing

Heaving buoys, point absorbers and arrays.

Science.gov (United States)

Falnes, Johannes; Hals, Jørgen

2012-01-28

Absorption of wave energy may be considered as a phenomenon of interference between incident and radiated waves generated by an oscillating object; a wave-energy converter (WEC) that displaces water. If a WEC is very small in comparison with one wavelength, it is classified as a point absorber (PA); otherwise, as a 'quasi-point absorber'. The latter may be a dipole-mode radiator, for instance an immersed body oscillating in the surge mode or pitch mode, while a PA is so small that it should preferably be a source-mode radiator, for instance a heaving semi-submerged buoy. The power take-off capacity, the WEC's maximum swept volume and preferably also its full physical volume should be reasonably matched to the wave climate. To discuss this matter, two different upper bounds for absorbed power are applied in a 'Budal diagram'. It appears that, for a single WEC unit, a power capacity of only about 0.3 MW matches well to a typical offshore wave climate, and the full physical volume has, unfortunately, to be significantly larger than the swept volume, unless phase control is used. An example of a phase-controlled PA is presented. For a sizeable wave-power plant, an array consisting of hundreds, or even thousands, of mass-produced WEC units is required.

Integration of Ground, Buoys, Satellite and Model data to map the Changes in Meteorological Parameters Associated with Harvey Hurricane

Science.gov (United States)

Chauhan, A.; Sarkar, S.; Singh, R. P.

2017-12-01

The coastal areas have dense onshore and marine observation network and are also routinely monitored by constellation of satellites. The monitoring of ocean, land and atmosphere through a range of meteorological parameters, provides information about the land and ocean surface. Satellite data also provide information at different pressure levels that help to access the development of tropical storms and formation of hurricanes at different categories. Integration of ground, buoys, satellite and model data showing the changes in meteorological parameters during the landfall stages of hurricane Harvey will be discussed. Hurricane Harvey was one of the deadliest hurricanes at the Gulf coast which caused intense flooding from the precipitation. The various observation networks helped city administrators to evacuate the coastal areas, that minimized the loss of lives compared to the Galveston hurricane of 1900 which took 10,000 lives. Comparison of meteorological parameters derived from buoys, ground stations and satellites associated with Harvey and 2005 Katrina hurricane present some of the interesting features of the two hurricanes.

WATER TEMPERATURE and other data from NOAA Ship DISCOVERER and NOAA Ship OCEANOGRAPHER in the TOGA Area - Pacific from 1979-04-23 to 1982-05-21 (NODC Accession 9000293)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The water depth and temperature data was collected as part of Equatorial Pacific Ocean Climate Studies from NOAA Ship Discoverer and NOAA Ship Oceanographer. The...

TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1991-present, Downgoing Shortwave Radiation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily Downgoing Shortwave Radiation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, 5-Day, 1989-present, Wind Stress

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has 5-day Wind Stress data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1997-present, Evaporation Minus Precipitation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily Evaporation Minus Precipitation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Monthly, 1997-present, Evaporation Minus Precipitation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has monthly Evaporation Minus Precipitation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 1997-present, Evaporation Minus Precipitation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has quarterly Evaporation Minus Precipitation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Quarterly, 2000-present, Net Longwave Radiation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has quarterly Net Longwave Radiation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Monthly, 1991-present, Net Shortwave Radiation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has monthly Net Shortwave Radiation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 2000-present, Net Longwave Radiation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily Net Longwave Radiation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1992-present, Sea Surface Salinity

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily Sea Surface Salinity data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

NOAA NDBC SOS, 2007-present, currents

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA NDBC SOS server is part of the IOOS DIF SOS Project. The stations in this dataset have currents data. Because of the nature of SOS requests, requests for...

NOAA Ship Okeanos Explorer Video Collection

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — During each NOAA Ship Okeanos Explorer field season, full-resolution video in a ProRes 422 format at a bitrate of 145 Mbps is produced during each deployment of the...

Hurricane Havoc - Mapping the Mayhem with NOAA's National Water Model

Science.gov (United States)

Aggett, G. R.; Stone, M.

2017-12-01

With Hurricane Irene as an example, this work demonstrates the versatility of NOAA's new National Water Model (NWM) as a tool for analyzing hydrologic hazards before, during, and after events. Hurricane Irene made landfall on the coast of North Carolina on August 27, 2011, and made its way up the East Coast over the next 3 days. This storm caused widespread flooding across the Northeast, where rain totals over 20" and wind speeds of 100mph were recorded, causing loss of life and significant damage to infrastructure. Large portions of New York and Vermont were some of the hardest hit areas. This poster will present a suite of post-processed products, derived from NWM output, that are currently being developed at NOAA's National Water Center in Tuscaloosa, AL. The National Water Model is allowing NOAA to expand its water prediction services to the approximately 2.7 million stream reaches across the U.S. The series of forecasted and real-time analysis products presented in this poster will demonstrate the strides NOAA is taking to increase preparedness and aid response to severe hydrologic events, like Hurricane Irene.

TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1977-present, Sea Surface Temperature

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily Sea Surface Temperature (SST) data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, 5-Day, 2000-present, Longwave Radiation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has 5-day Incoming Longwave Radiation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

NOAA Line Shapefile- Locations of Phantom S2 ROV Underwater Video Transects, US Virgin Islands, Project NF-05-05, 2005, UTM 20N WGS84 (NCEI Accession 0131860)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset contains a line shapefile showing the trackline of various Remotely Operated Vehicle (ROV) underwater video transects in the US Virgin Islands.NOAA's...

NOAA NDBC SOS, 2006-present, winds

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA NDBC SOS server is part of the IOOS DIF SOS Project. The stations in this dataset have winds data. Because of the nature of SOS requests, requests for data...

NOAA Weather Radio - EAS Description

Science.gov (United States)

Non-Zero All Hazards Logo Emergency Alert Description Event Codes Fact Sheet FAQ Organization Search Search For Go NWS All NOAA Emergency Alert System (EAS) List of EAS Event Codes NWS EAS fact sheet What Management Agency (FEMA) and the NWS, implements the EAS at the federal level. The EAS is the nation's public

Workforce and graduate school outcomes of NOAA's Educational Partnership Program

Science.gov (United States)

Christenson, T.; Kaplan, M.

2017-12-01

Underrepresented groups, including Black, Hispanic, Native American, Alaska Native, Native Hawaiian and Pacific Island professionals remain underrepresented in STEM fields generally, and in the ocean and atmospheric sciences specifically. NOAA has tried to address this disparity through a number of initiatives under the Educational Partnership Program with Minority Serving Institutions (EPP MSI) which currently has two components: four Cooperative Science Centers (CSCs) aligned with NOAA's mission areas; and an Undergraduate Scholarship Program (USP), both established in 2001. In order to determine the outcomes for the program participants and the impacts of these programs on degree completions and on the workforce, the EPP MSI undertook a multi-pronged effort to identify career and education achievements for 80% of the approximately 1750 EPP MSI alumni, 75% of whom are from underrepresented groups. This was accomplished through 1) searching online resources (e.g. professional web pages, LinkedIn, etc.), 2) personal communication with program-associated faculty, 3) National Student Clearinghouse, 4) a survey of former scholars conducted by Insight Policy Research, and 5) self-reporting though NOAA's Voluntary Alumni Update System. Results show that 60% of CSC alumni currently hold an advanced degree in a STEM field with another 8% currently working toward one. 66% of EPP Undergraduate Scholars go to graduate school. 72% of CSC and USP alumni are currently employed in or pursuing a graduate degree in a NOAA-related* field. More than 70 CSC graduates currently work for NOAA as contractors or federal employees while more than 240 work for other government agencies. More than 400 are employed in the private sector. Of more than 225 PhD graduates, 66 have completed or currently hold post-doctoral positions in NOAA mission fields; 71 have held faculty positions at major universities. However, one challenge is retaining diverse STEM talent within the Geosciences in light

NOAA-L satellite is mated to Apogee Kick Motor at Vandenberg AFB

Science.gov (United States)

2000-01-01

Inside the B16-10 spacecraft processing hangar at Vandenberg Air Force Base, Calif., workers oversee the mating of the Apogee Kick Motor (below) to the National Oceanic and Atmospheric Administration (NOAA-L) satellite above. NOAA-L is part of the Polar-Orbiting Operational Environmental Satellite (POES) program that provides atmospheric measurements of temperature, humidity, ozone and cloud images, tracking weather patterns that affect the global weather and climate. The launch of the NOAA-L satellite is scheduled no earlier than Sept. 12 aboard a Lockheed Martin Titan II rocket. NOAA predicts active 2013 Atlantic hurricane season

Science.gov (United States)

(discussion) El Niño/Southern Oscillation (ENSO) Diagnostic Discussion National Hurricane Preparedness Week in both English and Spanish, featuring NOAA hurricane experts and the FEMA administrator at

The NOAA and MMS Marine Minerals Bibliography

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — From 1983 through 1992, the National Oceanic and Atmospheric Administration (NOAA) National Geophysical Data Center (NGDC) compiled a comprehensive, computerized...

TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1987-present, Potential Density Anomaly

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily Potential Density Anomaly (sigma-theta) data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

Evaluation of Tsunami-HySEA for tsunami forecasting at selected locations in U.S.

Science.gov (United States)

Gonzalez Vida, J. M., Sr.; Ortega, S.; Castro, M. J.; de la Asuncion, M.; Arcas, D.

2017-12-01

The GPU-based Tsunami-HySEA model (Macias, J. et al., Pure and Applied Geophysics, 1-37, 2017, Lynett, P. et al., Ocean modeling, 114, 2017) is used to test four tsunami events: the January, 13, 2007 earthquake in Kuril islands (Mw 8.1), the September, 29, 2009 earthquake in Samoa (Mw 8.3), the February, 27, 2010 earthquake in Chile (Mw 9.8) and the March, 11, 2011 earthquake in Tohoku (Mw 9.0). Initial conditions have been provided by NOAA Center for Tsunami Research (NCTR) obtained from DART inversion results. All simulations have been performed using a global 4 arc-min grid of the Ocean Pacific and three nested-meshes levels around the selected locations. Wave amplitudes time series have been computed at selected tide gauges located at each location and maximum amplitudes compared with both MOST model results and observations where they are available. In addition, inundation also has been computed at selected U.S. locations for the 2011 Tohoku and 2009 Samoa events under the assumption of a steady mean high water level. Finally, computational time is also evaluated in order to study the operational capabilities of Tsunami-HySEA for these kind of events. Ackowledgements: This work has been funded by WE133R16SE1418 contract between PMEL (NOAA) and the Universidad de Málaga (Spain).

CTD data from CTD casts in the Northeast Pacific Ocean from NOAA Ship DISCOVERER and NOAA Ship SURVEYOR from 1985-06-03 to 1988-09-21 (NODC Accession 8900194)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CTD data were collected from CTD casts from NOAA Ship DISCOVERER and NOAA Ship SURVEYOR in the Northeast Pacific Ocean from 03 June 1985 to 21 September 1988. Data...

A comparison of field-aligned current signatures simultaneously observed by the MAGSAT and TIROS/NOAA spacecraft

International Nuclear Information System (INIS)

Kamide, Y.; Evans, D.S.; Cain, J.C.

1984-01-01

In order to examine the relative locations of auroral particle fluxes and field-aligned currents and to identify the main charge carriers of the field-aligned currents at auroral latitudes, nearly simultaneous data from the vector magnetometers on MAGSAT and of precipitating electrons with energies between 300 eV and 20 keV observed by TIROS-N and NOAA-6 are compared. For more than fifty cases, MAGSAT and TIROS and/or NOAA orbits occurred within two minutes (mostly within one minute) of each other in the dawn/dusk sectors, during the time the IMS meridian chains of ground magnetometers were operating from November, 1979 through January, 1980. The latitudinal boundaries of precipitating electrons are found to line up within 1 0 with those of the field-aligned current region. Major portions of the upward field-aligned currents in the poleward half of the evening-sector auroral oval and in the equatorward half of the morining-sector auroral oval appear to be carried by the precipitating keV electrons. (author)

Temperature, All Surface, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Daytime

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA CoastWatch provides surface temperature products derived from NOAA's Polar Operational Environmental Satellites (POES). This data is provided at high resolution...

NOAA Point Shapefile - Drop Camera transects, US Caribbean – Virgin Passage and St. John Shelf - Project NF-03-10-USVI-HAB - (2010), UTM 20N NAD83 (NCEI Accession 0131854)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater video that was collected by NOAA scientists using a SeaViewer drop camera system. For more information about this...

Sistem Receiver Satelit NOAA pada Frekuensi 137,9 MHz

Directory of Open Access Journals (Sweden)

Nuhung Suleman

2017-10-01

Full Text Available Radio cuaca yang diusulkan terdiri atas rangkaian radio penerima, perangkat lunak untuk translasi data cuaca dari satelit menjadi data cuaca yang mudah dibaca oleh pengguna (nelayan disimpan dalam EPROM yang dapat diintegrasikan pada radio cuaca. Radio cuaca yang diusulkan juga memiliki sistem deteksi penerimaan data satelit cuaca NOAA melalui program aplikasi pewaktu (timer yang dapat mengaktifkan radio cuaca sekitar 5 menit sebelum waktu satelit NOAA melintasi Indonesia. Karena perangkat lunak/aplikasi disimpan dalam EPROM maka tidak diperlukan komputer untuk mengoperasikan radio cuaca.

SST, NOAA POES AVHRR, LAC, 0.0125 degrees, West US, Day and Night

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA CoastWatch provides sea surface temperature (SST) products derived from NOAA's Polar Operational Environmental Satellites (POES). This data is provided at high...

NOAA declares string of seal deaths in New England an unusual mortality

Science.gov (United States)

A virus found in these animals. Seals, like other marine mammals (dolphins, whales, and sea lions Information for NOAA Employees Related Links Marine Mammal Unusual Mortality Events Marine Mammal Health and Rowles, National Marine Mammal Health and Stranding Response Program Coordinator, NOAA Fisheries Service

NOAA Polyline Shapefile - MiniBat transects, US Virgin Islands - St. John, St. Thomas and St. Croix - Project NF-04-06-VI - (2004), UTM 20N NAD83 (NCEI Accession 0131850)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a MiniBat towed underwater system. Photos and/or...

NOAA Point Shapefile - MiniBat transects, US Virgin Islands - St. John, St. Thomas and St. Croix - Project NF-04-06-VI - (2004), UTM 20N NAD83 (NCEI Accession 0131850)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This shapefile denotes the location of underwater photos and/or video that were collected by NOAA scientists using a MiniBat towed underwater system. Photos and/or...

NOAA Daily Optimum Interpolation Sea Surface Temperature

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA 1/4° daily Optimum Interpolation Sea Surface Temperature (or daily OISST) is an analysis constructed by combining observations from different platforms...

The accuracy of SST retrievals from AATSR: An initial assessment through geophysical validation against in situ radiometers, buoys and other SST data sets

Science.gov (United States)

Corlett, G. K.; Barton, I. J.; Donlon, C. J.; Edwards, M. C.; Good, S. A.; Horrocks, L. A.; Llewellyn-Jones, D. T.; Merchant, C. J.; Minnett, P. J.; Nightingale, T. J.; Noyes, E. J.; O'Carroll, A. G.; Remedios, J. J.; Robinson, I. S.; Saunders, R. W.; Watts, J. G.

The Advanced Along-Track Scanning Radiometer (AATSR) was launched on Envisat in March 2002. The AATSR instrument is designed to retrieve precise and accurate global sea surface temperature (SST) that, combined with the large data set collected from its predecessors, ATSR and ATSR-2, will provide a long term record of SST data that is greater than 15 years. This record can be used for independent monitoring and detection of climate change. The AATSR validation programme has successfully completed its initial phase. The programme involves validation of the AATSR derived SST values using in situ radiometers, in situ buoys and global SST fields from other data sets. The results of the initial programme presented here will demonstrate that the AATSR instrument is currently close to meeting its scientific objectives of determining global SST to an accuracy of 0.3 K (one sigma). For night time data, the analysis gives a warm bias of between +0.04 K (0.28 K) for buoys to +0.06 K (0.20 K) for radiometers, with slightly higher errors observed for day time data, showing warm biases of between +0.02 (0.39 K) for buoys to +0.11 K (0.33 K) for radiometers. They show that the ATSR series of instruments continues to be the world leader in delivering accurate space-based observations of SST, which is a key climate parameter.

NASA, NOAA administrators nominated

Science.gov (United States)

Richman, Barbara T.

President Ronald Reagan recently said he intended to nominate James Montgomery Beggs as NASA Administrator and John V. Byrne as NOAA Administrator. These two positions are key scientific posts that have been vacant since the start of the Reagan administration on January 20. The President also said he intends to nominate Hans Mark as NASA Deputy Administrator. At press time, Reagan had not designated his nominee for the director of the Office of Science and Technology Policy.

Modeling marine surface microplastic transport to assess optimal removal locations

Science.gov (United States)

Sherman, Peter; van Sebille, Erik

2016-01-01

Marine plastic pollution is an ever-increasing problem that demands immediate mitigation and reduction plans. Here, a model based on satellite-tracked buoy observations and scaled to a large data set of observations on microplastic from surface trawls was used to simulate the transport of plastics floating on the ocean surface from 2015 to 2025, with the goal to assess the optimal marine microplastic removal locations for two scenarios: removing the most surface microplastic and reducing the impact on ecosystems, using plankton growth as a proxy. The simulations show that the optimal removal locations are primarily located off the coast of China and in the Indonesian Archipelago for both scenarios. Our estimates show that 31% of the modeled microplastic mass can be removed by 2025 using 29 plastic collectors operating at a 45% capture efficiency from these locations, compared to only 17% when the 29 plastic collectors are moored in the North Pacific garbage patch, between Hawaii and California. The overlap of ocean surface microplastics and phytoplankton growth can be reduced by 46% at our proposed locations, while sinks in the North Pacific can only reduce the overlap by 14%. These results are an indication that oceanic plastic removal might be more effective in removing a greater microplastic mass and in reducing potential harm to marine life when closer to shore than inside the plastic accumulation zones in the centers of the gyres.

Modeling marine surface microplastic transport to assess optimal removal locations

International Nuclear Information System (INIS)

Sherman, Peter; Van Sebille, Erik

2016-01-01

Marine plastic pollution is an ever-increasing problem that demands immediate mitigation and reduction plans. Here, a model based on satellite-tracked buoy observations and scaled to a large data set of observations on microplastic from surface trawls was used to simulate the transport of plastics floating on the ocean surface from 2015 to 2025, with the goal to assess the optimal marine microplastic removal locations for two scenarios: removing the most surface microplastic and reducing the impact on ecosystems, using plankton growth as a proxy. The simulations show that the optimal removal locations are primarily located off the coast of China and in the Indonesian Archipelago for both scenarios. Our estimates show that 31% of the modeled microplastic mass can be removed by 2025 using 29 plastic collectors operating at a 45% capture efficiency from these locations, compared to only 17% when the 29 plastic collectors are moored in the North Pacific garbage patch, between Hawaii and California. The overlap of ocean surface microplastics and phytoplankton growth can be reduced by 46% at our proposed locations, while sinks in the North Pacific can only reduce the overlap by 14%. These results are an indication that oceanic plastic removal might be more effective in removing a greater microplastic mass and in reducing potential harm to marine life when closer to shore than inside the plastic accumulation zones in the centers of the gyres. (letter)

Cyclotron Line in Solar Microwave Radiation by Radio Telescope RATAN-600 Observations of the Solar Active Region NOAA 12182

Science.gov (United States)

Peterova, N. G.; Topchilo, N. A.

2017-12-01

This paper presents the results of observation of a rare phenomenon—a narrowband increase in the brightness of cyclotron radiation of one of the structural details of a radio source located in the solar corona above the solar active region NOAA 12182 in October 2014 at a frequency of 4.2 ± 0.1 GHz. The brightness of radiation in the maximum of the phenomenon has reached 10 MK; its duration was equal to 3 s. The exact location of the source of the narrowband cyclotron radiation is indicated: it is a corona above a fragmented (4-nuclear) sunspot, on which a small UV flare loop was closed.

User Driven Data Mining, Visualization and Decision Making for NOAA Observing System and Data Investments

Science.gov (United States)

Austin, M.

2016-12-01

The National Oceanic and Atmospheric Administration (NOAA) observing system enterprise represents a $2.4B annual investment. Earth observations from these systems are foundational to NOAA's mission to describe, understand, and predict the Earth's environment. NOAA's decision makers are charged with managing this complex portfolio of observing systems to serve the national interest effectively and efficiently. The Technology Planning & Integration for Observation (TPIO) Office currently maintains an observing system portfolio for NOAA's validated user observation requirements, observing capabilities, and resulting data products and services. TPIO performs data analytics to provide NOAA leadership business case recommendations for making sound budgetary decisions. Over the last year, TPIO has moved from massive spreadsheets to intuitive dashboards that enable Federal agencies as well as the general public the ability to explore user observation requirements and environmental observing systems that monitor and predict changes in the environment. This change has led to an organizational data management shift to analytics and visualizations by allowing analysts more time to focus on understanding the data, discovering insights, and effectively communicating the information to decision makers. Moving forward, the next step is to facilitate a cultural change toward self-serve data sharing across NOAA, other Federal agencies, and the public using intuitive data visualizations that answer relevant business questions for users of NOAA's Observing System Enterprise. Users and producers of environmental data will become aware of the need for enhancing communication to simplify information exchange to achieve multipurpose goals across a variety of disciplines. NOAA cannot achieve its goal of producing environmental intelligence without data that can be shared by multiple user communities. This presentation will describe where we are on this journey and will provide examples of

75 FR 60085 - NOAA Proposed Policy on Prohibited and Authorized Uses of the Asset Forfeiture Fund

Science.gov (United States)

2010-09-29

... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration RIN 0648-XZ29 NOAA Proposed... Service (NMFS), National Oceanic and Atmospheric Administration (NOAA), Commerce. ACTION: Notice; request... Secretary of Commerce through NOAA to pay certain enforcement related costs from sums received as fines...

47 CFR 25.259 - Time sharing between NOAA meteorological satellite systems and non-voice, non-geostationary...

Science.gov (United States)

2010-10-01

... 47 Telecommunication 2 2010-10-01 2010-10-01 false Time sharing between NOAA meteorological... SATELLITE COMMUNICATIONS Technical Standards § 25.259 Time sharing between NOAA meteorological satellite... Atmospheric Administration (“NOAA”) satellite systems. When calculating the protection areas for a NOAA...

NOAA's Big Data Partnership at the National Centers for Environmental Information

Science.gov (United States)

Kearns, E. J.

2015-12-01

In April of 2015, the U.S. Department of Commerce announced NOAA's Big Data Partnership (BDP) with Amazon Web Services, Google Cloud Platform, IBM, Microsoft Corp., and the Open Cloud Consortium through Cooperative Research and Development Agreements. Recent progress on the activities with these Partners at the National Centers for Environmental Information (NCEI) will be presented. These activities include the transfer of over 350 TB of NOAA's archived data from NCEI's tape-based archive system to BDP cloud providers; new opportunities for data mining and investigation; application of NOAA's data maturity and stewardship concepts to the BDP; and integration of both archived and near-realtime data streams into a synchronized, distributed data system. Both lessons learned and future opportunities for the environmental data community will be presented.

75 FR 6354 - NOAA Great Lakes Habitat Restoration Program Project Grants under the Great Lakes Restoration...

Science.gov (United States)

2010-02-09

...-04] RIN 0648-ZC10 NOAA Great Lakes Habitat Restoration Program Project Grants under the Great Lakes... Atmospheric Administration (NOAA), Department of Commerce. ACTION: Notice of funding availability; Date... on January 19, 2010. That notice announced the NOAA Great Lakes Habitat Restoration Program Project...

Determining slack tide with a GPS receiver on an anchored buoy

Science.gov (United States)

Valk, M.; Savenije, H. H. G.; Tiberius, C. C. J. M.; Luxemburg, W. M. J.

2014-07-01

In this paper we present a novel method to determine the time of occurrence of tidal slack with a GPS receiver mounted on an anchored buoy commonly used to delineate shipping lanes in estuaries and tidal channels. Slack tide occurs when the tide changes direction from ebb to flood flow or from flood to ebb. The determination of this point in time is not only useful for shipping and salvaging, it is also important information for calibrating tidal models, for determining the maximum salt intrusion and for the further refinement of the theory on tidal propagation. The accuracy of the timing is well within 10 min and the method - able to operate in real time - is relatively cheap and easy to implement on a permanent basis or in short field campaigns.

76 FR 53883 - Proposed Information Collection; Comment Request; NOAA Satellite Ground Station Customer...

Science.gov (United States)

2011-08-30

... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration Proposed Information Collection; Comment Request; NOAA Satellite Ground Station Customer Questionnaire AGENCY: National Oceanic... asks people who operate ground receiving stations that receive data from NOAA satellites to complete a...

TAO/TRITON, RAMA, and PIRATA Buoys, 5-Day, 1997-present, Evaporation Minus Precipitation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has 5-day Evaporation Minus Precipitation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

TAO/TRITON, RAMA, and PIRATA Buoys, 5-Day, 2000-present, Net Longwave Radiation

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has 5-day Net Longwave Radiation data from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/ ), RAMA (Indian Ocean,...

How to Get Data from NOAA Environmental Satellites: An Overview of Operations, Products, Access and Archive

Science.gov (United States)

Donoho, N.; Graumann, A.; McNamara, D. P.

2015-12-01

In this presentation we will highlight access and availability of NOAA satellite data for near real time (NRT) and retrospective product users. The presentation includes an overview of the current fleet of NOAA satellites and methods of data distribution and access to hundreds of imagery and products offered by the Environmental Satellite Processing Center (ESPC) and the Comprehensive Large Array-data Stewardship System (CLASS). In particular, emphasis on the various levels of services for current and past observations will be presented. The National Environmental Satellite, Data, and Information Service (NESDIS) is dedicated to providing timely access to global environmental data from satellites and other sources. In special cases, users are authorized direct access to NESDIS data distribution systems for environmental satellite data and products. Other means of access include publicly available distribution services such as the Global Telecommunication System (GTS), NOAA satellite direct broadcast services and various NOAA websites and ftp servers, including CLASS. CLASS is NOAA's information technology system designed to support long-term, secure preservation and standards-based access to environmental data collections and information. The National Centers for Environmental Information (NCEI) is responsible for the ingest, quality control, stewardship, archival and access to data and science information. This work will also show the latest technology improvements, enterprise approach and future plans for distribution of exponentially increasing data volumes from future NOAA missions. A primer on access to NOAA operational satellite products and services is available at http://www.ospo.noaa.gov/Organization/About/access.html. Access to post-operational satellite data and assorted products is available at http://www.class.noaa.gov

NOAA NOS SOS, EXPERIMENTAL, 1902-present, Salinity

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA NOS SOS server is part of the IOOS DIF SOS Project. The stations in this dataset have salinity data. *These services are for testing and evaluation use...

NOAA NOS SOS, EXPERIMENTAL, 1902-present, Conductivity

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA NOS SOS server is part of the IOOS DIF SOS Project. The stations in this dataset have conductivity data. *These services are for testing and evaluation use...

Towards an optimal adaptation of exposure to NOAA assessment methodology in Multi-Source Industrial Scenarios (MSIS): the challenges and the decision-making process

Science.gov (United States)

López de Ipiña, JM; Vaquero, C.; Gutierrez-Cañas, C.

2017-06-01

It is expected a progressive increase of the industrial processes that manufacture of intermediate (iNEPs) and end products incorporating ENMs (eNEPs) to bring about improved properties. Therefore, the assessment of occupational exposure to airborne NOAA will migrate, from the simple and well-controlled exposure scenarios in research laboratories and ENMs production plants using innovative production technologies, to much more complex exposure scenarios located around processes of manufacture of eNEPs that, in many cases, will be modified conventional production processes. Here will be discussed some of the typical challenging situations in the process of risk assessment of inhalation exposure to NOAA in Multi-Source Industrial Scenarios (MSIS), from the basis of the lessons learned when confronted to those scenarios in the frame of some European and Spanish research projects.

Current Operational Use of and Future Needs for Microwave Imagery at NOAA

Science.gov (United States)

Goldberg, M.; McWilliams, G.; Chang, P.

2017-12-01

There are many applications of microwave imagery served by NOAA's operational products and services. They include the use of microwave imagery and derived products for monitoring precipitation, tropical cyclones, sea surface temperature under all weather conditions, wind speed, snow and ice cover, and even soil moisture. All of NOAA's line offices including the National Weather Service, National Ocean Service, National Marine Fisheries Service, and Office of Oceanic and Atmospheric Research rely on microwave imagery. Currently microwave imagery products used by NOAA come from a constellation of satellites that includes Air Force's Special Sensor Microwave Imager Sounder (SSMIS), the Japanese Advanced Microwave Scanning Radiometer (AMSR), the Navy's WindSat, and NASA's Global Precipitation Monitoring (GPM) Microwave Imager (GMI). Follow-on missions for SSMIS are very uncertain, JAXA approval for a follow-on to AMSR2 is still pending, and GMI is a research satellite (lacking high-latitude coverage) with no commitment for operational continuity. Operational continuity refers to a series of satellites, so when one satellite reaches its design life a new satellite is launched. EUMETSAT has made a commitment to fly a microwave imager in the mid-morning orbit. China and Russia have demonstrated on-orbit microwave imagers. Of utmost importance to NOAA, however, is the quality, access, and latency of the data This presentation will focus on NOAA's current requirements for microwave imagery data which, for the most part, are being fulfilled by AMSR2, SSMIS, and WindSat. It will include examples of products and applications of microwave imagery at NOAA. We will also discuss future needs, especially for improved temporal resolution which hopefully can be met by an international constellation of microwave imagers. Finally, we will discuss what we are doing to address the potential gap in imagery.

75 FR 13259 - NOAA Is Hosting a Series of Informational Webinars for Individuals and Organizations To Learn...

Science.gov (United States)

2010-03-19

... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration NOAA Is Hosting a Series of Informational Webinars for Individuals and Organizations To Learn About the Proposed NOAA Climate Service AGENCY: Office of Oceanic and Atmospheric Research, National Oceanic and Atmospheric Administration (NOAA...

NOAA/NCEP Global Forecast System (GFS) Atmospheric Model

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — U.S. National Oceanic and Atmospheric Administration (NOAA) National Centers for Environmental Prediction (NCEP) Global Forecast System (GFS) numerical weather...

NOAA Geostationary Operational Environmental Satellite (GOES) Imager Data

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA Geostationary Operational Environmental Satellite (GOES) series provides continuous measurements of the atmosphere and surface over the Western Hemisphere....

NOAA Ship Fairweather Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Fairweather Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

NOAA Ship Rainier Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Rainier Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

NOAA Global Surface Temperature Dataset, Version 4.0

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA Global Surface Temperature Dataset (NOAAGlobalTemp) is derived from two independent analyses: the Extended Reconstructed Sea Surface Temperature (ERSST)...

The National Oceanic and Atmospheric Administration (NOAA) Climate Services Portal: A New Centralized Resource for Distributed Climate Information

Science.gov (United States)

Burroughs, J.; Baldwin, R.; Herring, D.; Lott, N.; Boyd, J.; Handel, S.; Niepold, F.; Shea, E.

2010-09-01

With the rapid rise in the development of Web technologies and climate services across NOAA, there has been an increasing need for greater collaboration regarding NOAA's online climate services. The drivers include the need to enhance NOAA's Web presence in response to customer requirements, emerging needs for improved decision-making capabilities across all sectors of society facing impacts from climate variability and change, and the importance of leveraging climate data and services to support research and public education. To address these needs, NOAA (during fiscal year 2009) embarked upon an ambitious program to develop a NOAA Climate Services Portal (NCS Portal). Four NOAA offices are leading the effort: 1) the NOAA Climate Program Office (CPO), 2) the National Ocean Service's Coastal Services Center (CSC), 3) the National Weather Service's Climate Prediction Center (CPC), and 4) the National Environmental Satellite, Data, and Information Service's (NESDIS) National Climatic Data Center (NCDC). Other offices and programs are also contributing in many ways to the effort. A prototype NCS Portal is being placed online for public access in January 2010, http://www.climate.gov. This website only scratches the surface of the many climate services across NOAA, but this effort, via direct user engagement, will gradually expand the scope and breadth of the NCS Portal to greatly enhance the accessibility and usefulness of NOAA's climate data and services.

75 FR 10755 - Proposed Information Collection; Comment Request; 2010 NOAA Engagement Survey Tool

Science.gov (United States)

2010-03-09

... instrument will be used by NOAA's Office of Education and the Gulf of Mexico Regional Collaboration Team to... Koch, Director, NOAA Office of Education, (202) 482-2563 or [email protected] . SUPPLEMENTARY... public goods used in public and private sectors, science institutions and households around the world...

NOAA Ship Pisces Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Pisces Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

New Developments in NOAA's Comprehensive Large Array-Data Stewardship System

Science.gov (United States)

Ritchey, N. A.; Morris, J. S.; Carter, D. J.

2012-12-01

The Comprehensive Large Array-data Stewardship System (CLASS) is part of the NOAA strategic goal of Climate Adaptation and Mitigation that gives focus to the building and sustaining of key observational assets and data archives critical to maintaining the global climate record. Since 2002, CLASS has been NOAA's enterprise solution for ingesting, storing and providing access to a host of near real-time remote sensing streams such as the Polar and Geostationary Operational Environmental Satellites (POES and GOES) and the Defense Meteorological Satellite Program (DMSP). Since October, 2011 CLASS has also been the dedicated Archive Data Segment (ADS) of the Suomi National Polar-orbiting Partnership (S-NPP). As the ADS, CLASS receives raw and processed S-NPP records for archival and distribution to the broad user community. Moving beyond just remote sensing and model data, NOAA has endorsed a plan to migrate all archive holdings from NOAA's National Data Centers into CLASS while retiring various disparate legacy data storage systems residing at the National Climatic Data Center (NCDC), National Geophysical Data Center (NGDC) and the National Oceanographic Data Center (NODC). In parallel to this data migration, CLASS is evolving to a service-oriented architecture utilizing cloud technologies for dissemination in addition to clearly defined interfaces that allow better collaboration with partners. This evolution will require implementation of standard access protocols and metadata which will lead to cost effective data and information preservation.

NOAA's Joint Polar Satellite System's (JPSS) Proving Ground and Risk Reduction (PGRR) Program - Bringing JPSS Science into Support of Key NOAA Missions!

Science.gov (United States)

Sjoberg, W.; McWilliams, G.

2017-12-01

This presentation will focus on the continuity of the NOAA Joint Polar Satellite System (JPSS) Program's Proving Ground and Risk Reduction (PGRR) and key activities of the PGRR Initiatives. The PGRR Program was established in 2012, following the launch of the Suomi National Polar Partnership (SNPP) satellite. The JPSS Program Office has used two PGRR Project Proposals to establish an effective approach to managing its science and algorithm teams in order to focus on key NOAA missions. The presenter will provide details of the Initiatives and the processes used by the initiatives that have proven so successful. Details of the new 2017 PGRR Call-for-Proposals and the status of project selections will be discussed.

Community Resilience Education: Lessons Learned from an Emerging Community of Practice - NOAA's Environmental Literacy Grantees

Science.gov (United States)

Schoedinger, S. E.; McDougall, C.

2017-12-01

NOAA supports community resilience to extreme weather events, climate change and other environmental hazards by preparing communities through Weather Ready Nation and through programs addressing coastal community needs. These programs primarily target adult decisions makers in a professional capacity (emergency managers, city planners, et al.), leaving non-professional audiences without opportunities to understand and develop the skills to prepare for the threats and vulnerabilities that their communities face. As a result, resilience became the focus of NOAA's Environmental Literacy Grants in 2015. The goal of these investments is to strengthen the public's and/or K-12 students' environmental literacy to enable informed decision-making necessary for community resilience to extreme weather events and other environmental hazards. Funded projects build an understanding of Earth systems and the threats and vulnerabilities that are associated with a community's location, are aligned with existing adaptation/resilience plans, and connect audiences to relevant tools and resources to prepare for and respond to these hazards. These first few years of investment will create new models for how education can improve community resilience. Although these projects incorporate a variety of approaches, a few common themes stand out: empowering youth and adults to increase their understanding of locally relevant natural hazards and stresses; giving youth a voice in resilience planning; and student-led vulnerability assessments of their schools and communities. In this session we will report on the first convening of the principal investigators of our 13 funded projects, which represents the beginning of a new community of practice focused on resilience education. We will specifically share lessons learned about: engaging youth and adults about climate change and resiliency; working with local resilience/adaptation planners; and case studies on the use of NOAA's Digital Coast and

NOAA's Estuarine Living Marine Resources (ELMR) Data Base

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — In 1985, NOAA launched the Estuarine Living Marine Resources (ELMR) Program to develop a consistent data base on the distribution, relative abundance, and life...

Temperature, salinity, and other data from buoy casts in the Arctic Ocean, Barents Sea and Beaufort Sea from 1948 to 1993 (NODC Accession 9800040)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Temperature, salinity, and other data were collected using buoy casts in the Arctic Ocean, Barents Sea and Beaufort Sea from 1948 to 1993. Data were collected by the...

TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1977-present, 20C Isotherm Depth

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily 20C Isotherm Depth data (the depth at which the ocean temperature is 20C) from the TAO/TRITON (Pacific Ocean, https://www.pmel.noaa.gov/gtmba/...

Advances of NOAA Training Program in Climate Services

Science.gov (United States)

Timofeyeva, M. M.

2012-12-01

Since 2002, NOAA's National Weather Service (NWS) Climate Services Division (CSD) has offered numerous training opportunities to NWS staff. After eight-years of development, the training program offers three instructor-led courses and roughly 25 online (distance learning) modules covering various climate topics, such as: climate data and observations, climate variability and change, and NWS national / local climate products (tools, skill, and interpretation). Leveraging climate information and expertise available at all NOAA line offices and partners allows for the delivery of the most advanced knowledge and is a very critical aspect of the training program. The emerging NOAA Climate Service (NCS) requires a well-trained, climate-literate workforce at the local level capable of delivering NOAA's climate products and services as well as providing climate-sensitive decision support. NWS Weather Forecast Offices and River Forecast Centers presently serve as local outlets for the NCS climate services. 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-sound messages and amiable communication techniques are important in developing an engaged dialog between the climate service providers and users. Several pilot projects have been conducted by the NWS CSD this past year that apply the program's training lessons and expertise to specialized external user group training. The technical user groups included natural resources managers, engineers, hydrologists, and planners for transportation infrastructure. Training of professional user groups required tailoring instructions to the potential applications for each group of users. Training technical users identified the following critical issues: (1) knowledge of target audience expectations, initial knowledge status, and potential use of climate information; (2) leveraging

Temperature profile and other data collected using moored buoy in the Pacific Ocean (30-N to 30-S) as part of the International Decade of Ocean Exploration / North Pacific Experiment (IDOE/NORPAX) project from 06 November 1977 to 24 March 1978 (NODC Accession 8200053)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Air pressure, current, wind and temperature time series data were collected from moored buoys from TOGA Area in Pacific (30 N to 30 S). Buoy data from the equatorial...

2011 NOAA Ortho-rectified Mosaic of Galveston, Texas

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery...

15 CFR Appendix A to Part 950 - Schedule of User Fees for Access to NOAA Environmental Data

Science.gov (United States)

2010-01-01

... NOAA Environmental Data A Appendix A to Part 950 Commerce and Foreign Trade Regulations Relating to..., App. A Appendix A to Part 950—Schedule of User Fees for Access to NOAA Environmental Data Name of product/data/publication/information/service Current fee New fee NOAA National Data Centers Standard User...

Integrating Data Distribution and Data Assimilation Between the OOI CI and the NOAA DIF

Science.gov (United States)

Meisinger, M.; Arrott, M.; Clemesha, A.; Farcas, C.; Farcas, E.; Im, T.; Schofield, O.; Krueger, I.; Klacansky, I.; Orcutt, J.; Peach, C.; Chave, A.; Raymer, D.; Vernon, F.

2008-12-01

The Ocean Observatories Initiative (OOI) is an NSF funded program to establish the ocean observing infrastructure of the 21st century benefiting research and education. It is currently approaching final design and promises to deliver cyber and physical observatory infrastructure components as well as substantial core instrumentation to study environmental processes of the ocean at various scales, from coastal shelf-slope exchange processes to the deep ocean. The OOI's data distribution network lies at the heart of its cyber- infrastructure, which enables a multitude of science and education applications, ranging from data analysis, to processing, visualization and ontology supported query and mediation. In addition, it fundamentally supports a class of applications exploiting the knowledge gained from analyzing observational data for objective-driven ocean observing applications, such as automatically triggered response to episodic environmental events and interactive instrument tasking and control. The U.S. Department of Commerce through NOAA operates the Integrated Ocean Observing System (IOOS) providing continuous data in various formats, rates and scales on open oceans and coastal waters to scientists, managers, businesses, governments, and the public to support research and inform decision-making. The NOAA IOOS program initiated development of the Data Integration Framework (DIF) to improve management and delivery of an initial subset of ocean observations with the expectation of achieving improvements in a select set of NOAA's decision-support tools. Both OOI and NOAA through DIF collaborate on an effort to integrate the data distribution, access and analysis needs of both programs. We present details and early findings from this collaboration; one part of it is the development of a demonstrator combining web-based user access to oceanographic data through ERDDAP, efficient science data distribution, and scalable, self-healing deployment in a cloud computing

WATER TEMPERATURE and Other Data from DRIFTING BUOY From TOGA Area - Pacific (30 N to 30 S) from 19921208 to 19930719 (NODC Accession 9500059)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The drifting buoy data set in this accession was collected from TOGA Area - Pacific (30 N to 30 S) in Equatorial Pacific, North of Australia as part of Tropical...

NOAA's Data Catalog and the Federal Open Data Policy

Science.gov (United States)

Wengren, M. J.; de la Beaujardiere, J.

2014-12-01

The 2013 Open Data Policy Presidential Directive requires Federal agencies to create and maintain a 'public data listing' that includes all agency data that is currently or will be made publicly-available in the future. The directive requires the use of machine-readable and open formats that make use of 'common core' and extensible metadata formats according to the best practices published in an online repository called 'Project Open Data', to use open licenses where possible, and to adhere to existing metadata and other technology standards to promote interoperability. In order to meet the requirements of the Open Data Policy, the National Oceanic and Atmospheric Administration (NOAA) has implemented an online data catalog that combines metadata from all subsidiary NOAA metadata catalogs into a single master inventory. The NOAA Data Catalog is available to the public for search and discovery, providing access to the NOAA master data inventory through multiple means, including web-based text search, OGC CS-W endpoint, as well as a native Application Programming Interface (API) for programmatic query. It generates on a daily basis the Project Open Data JavaScript Object Notation (JSON) file required for compliance with the Presidential directive. The Data Catalog is based on the open source Comprehensive Knowledge Archive Network (CKAN) software and runs on the Amazon Federal GeoCloud. This presentation will cover topics including mappings of existing metadata in standard formats (FGDC-CSDGM and ISO 19115 XML ) to the Project Open Data JSON metadata schema, representation of metadata elements within the catalog, and compatible metadata sources used to feed the catalog to include Web Accessible Folder (WAF), Catalog Services for the Web (CS-W), and Esri ArcGIS.com. It will also discuss related open source technologies that can be used together to build a spatial data infrastructure compliant with the Open Data Policy.

Innovating Data Discovery In NOAA OneStop By Integrating With Social Media

Science.gov (United States)

Jakositz, A.; McQuinn, E.; Delk, Z.; Shapiro, J.; Partee, R.; Richerson, E.

2017-12-01

Tasked with improving discovery of and access to NOAA data, the OneStop project has to consider a broad array of data types and end-users in the overall design. While work on the OneStop web interface and backend API is of utmost importance for enabling a variety of users to explore available NOAA data, the challenge of bringing those users to the OneStop portal in the first place remains. In this presentation, we highlight the benefits of using social media - namely YouTube - to attract users to both the data and tools existing in the NOAA realm. Furthermore, we discuss the ways in which varying data types can be discovered from the same portal, triggering different views (for instance, a streaming video), based on maintaining consistent metadata standards.

NOAA NOS SOS, EXPERIMENTAL, 1853-present, Barometric Pressure

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA NOS SOS server is part of the IOOS DIF SOS Project. The stations in this dataset have barometric pressure data. *These services are for testing and...

NOAA NOS SOS, EXPERIMENTAL, 1853-present, Air Temperature

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA NOS SOS server is part of the IOOS DIF SOS Project. The stations in this dataset have air temperature data. *These services are for testing and evaluation...

NOAA NOS SOS, EXPERIMENTAL, 1853-present, Water Temperature

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA NOS SOS server is part of the IOOS DIF SOS Project. The stations in this dataset have water temperature data. *These services are for testing and evaluation...

NOAA Aircraft Operations Center (AOC) Flight Level Data

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA AOC WP-3D Research Flight Data is digital data set DSI-6420, archived at the National Climatic Data Center (NCDC). This data set is meteorological data gathered...

NOAA Response to the Deepwater Horizon Oil Spill - Protecting Oceans, Coasts and Fisheries (Invited)

Science.gov (United States)

Lubchenco, J.

2010-12-01

As the nation’s leading scientific resource for oil spills, NOAA has been on the scene of the Deepwater Horizon/BP oil spill from the start, providing coordinated scientific weather and biological response services to federal, state and local organizations. NOAA has mobilized experts from across the agency to help contain the spreading oil spill and protect the Gulf of Mexico’s many marine mammals, sea turtles, fish, shellfish and other endangered marine life. NOAA spill specialists advised the U.S. Coast Guard on cleanup options as well as advising all affected federal, state and local partners on sensitive marine resources at risk in this area of the Gulf of Mexico. As a major partner in the federal response to this incident, NOAA provided the necessary coastal and marine expertise required for sound, timely decision-making and helped protect the affected Gulf Coast communities and coastal marine environment and will continue to do so for ongoing restoration efforts.

Temperature profile and other data collected using CTD casts in the TOGA Area - Pacific Ocean from NOAA Ship MALCOLM BALDRIGE and NOAA Ship DISCOVERER from 1989-05-13 to 1989-12-08 (NODC Accession 9100142)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Temperature profile and other data were collected using CTD casts from NOAA Ship MALCOLM BALDRDIGE and NOAA Ship DISCOVERER in the TOGA Area - Pacific Ocean from 13...

NOAA NOS SOS, EXPERIMENTAL, 1853-present, Water Level

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA NOS SOS server is part of the IOOS DIF SOS Project. The stations in this dataset have water surface height above a reference datum. *These services are for...

NOAA NDBC SOS, 2006-present, sea_water_temperature

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA NDBC SOS server is part of the IOOS DIF SOS Project. The stations in this dataset have sea_water_temperature data. Because of the nature of SOS requests,...

Statistical Validation of Calibrated Wind Data Collected From NOAA's Hurricane Hunter Aircraft

Science.gov (United States)

Graham, K.; Sears, I. T.; Holmes, M.; Henning, R. G.; Damiano, A. B.; Parrish, J. R.; Flaherty, P. T.

2015-12-01

Obtaining accurate in situ meteorological measurements from the NOAA G-IV Hurricane Hunter Aircraft currently requires annual wind calibration flights. This project attempts to demonstrate whether an alternate method to wind calibration flights can be implemented using data collected from many previous hurricane, winter storm, and surveying flights. Wind derivations require using airplane attack and slip angles, airplane pitch, pressure differentials, dynamic pressures, ground speeds, true air speeds, and several other variables measured by instruments on the aircraft. Through the use of linear regression models, future wind measurements may be fit to past statistical models. This method of wind calibration could replace the need for annual wind calibration flights, decreasing NOAA expenses and providing more accurate data. This would help to ensure all data users have reliable data and ultimately contribute to NOAA's goal of building of a Weather Ready Nation.

Directional Bias of TAO Daily Buoy Wind Vectors in the Central Equatorial Pacific Ocean from November 2008 to January 2010

Directory of Open Access Journals (Sweden)

Ge Peng

2014-07-01

Full Text Available This article documents a systematic bias in surface wind directions between the TAO buoy measurements at 0°, 170°W and the ECMWF analysis and forecasts. This bias was of the order 10° and persisted from November 2008 to January 2010, which was consistent with a post-recovery calibration drift in the anemometer vane. Unfortunately, the calibration drift was too time-variant to be used to correct the data so the quality flag for this deployment was adjusted to reflect low data quality. The primary purpose of this paper is to inform users in the modelling and remote-sensing community about this systematic, persistent wind directional bias, which will allow users to make an educated decision on using the data and be aware of its potential impact to their downstream product quality. The uncovering of this bias and its source demonstrates the importance of continuous scientific oversight and effective user-data provider communication in stewarding scientific data. It also suggests the need for improvement in the ability of buoy data quality control procedures of the TAO and ECMWF systems to detect future wind directional systematic biases such as the one described here.

NOAA Satellite and Information Service's International and Interagency

Science.gov (United States)

: To meet the challenge of understanding and predicting changes in climate, weather, oceans, and coasts Affaris Division Skip to main content NOAA HOME NESDIS HOME WEATHER OCEANS & COASTS FISHERIES CHARTING SATELLITES CLIMATE RESEARCH CAREERS Satellite and Data Policy Developing Partnerships

NOAA Ship Rainier Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Rainier Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

NOAA Ship Pisces Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Pisces Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

NOAA Ship Fairweather Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Fairweather Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

NOAA Extended Reconstructed Sea Surface Temperature (ERSST), Version 5

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA Extended Reconstructed Sea Surface Temperature (ERSST) dataset is a global monthly sea surface temperature dataset derived from the International...

NOAA Ship Okeanos Explorer Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Okeanos Explorer Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

Noaa contributions to the 1995 IPCC assessments: A summary of the current and future activities of the intergovernmental panel on climate change

International Nuclear Information System (INIS)

Albritton, D.; Levy, J.

1993-05-01

Contents: introduction -the IPCC and NOAA; NOAA contributions to the IPCC 1995 science assessment; NOAA contributions to the IPCC 1995 impacts, adaptation, and mitigation assessment; NOAA contributions to the 1995 IPCC economics and greenhouse-gas scenario assessment

NOAA Ship Delaware II Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Delaware II Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

NOAA Ship Hi'ialakai Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Hi'ialakai Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

NOAA Ship Ronald Brown Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Ronald Brown Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

NOAA Ship Miller Freeman Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Miller Freeman Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

NOAA Ship Oscar Dyson Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Oscar Dyson Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

NOAA Ship Nancy Foster Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Nancy Foster Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

NOAA Ship Gordon Gunter Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Gordon Gunter Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

NOAA Ship Ka'imimoana Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Ka'imimoana Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

NOAA Ship Oregon II Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Oregon II Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

Evaluation of HY-2A Scatterometer Wind Vectors Using Data from Buoys, ERA-Interim and ASCAT during 2012–2014

Directory of Open Access Journals (Sweden)

Jianyong Xing

2016-05-01

Full Text Available The first Chinese operational Ku-band scatterometer on board Haiyang-2A (HY-2A, launched in August 2011, is designed for monitoring the global ocean surface wind. This study estimates the quality of the near-real-time (NRT retrieval wind speed and wind direction from the HY-2A scatterometer for 36 months from 2012 to 2014. We employed three types of sea-surface wind data from oceanic moored buoys operated by the National Data Buoy Center (NDBC and the Tropical Atmospheric Ocean project (TAO, the European Centre for Medium Range Weather Forecasting (ECMWF reanalysis data (ERA-Interim, and the advanced scatterometer (ASCAT to calculate the error statistics including mean bias, root mean square error (RMSE, and standard deviation. In addition, the rain effects on the retrieval winds were investigated using collocated Climate Prediction Center morphing method (CMORPH precipitation data. All data were collocated with the HY-2A scatterometer wind data for comparison. The quality performances of the HY-2A NRT wind vectors data (especially the wind speeds were satisfactory throughout the service period. The RMSEs of the HY-2A wind speeds relative to the NDBC, TAO, ERA-Interim, and ASCAT data were 1.94, 1.73, 2.25, and 1.62 m·s−1, respectively. The corresponding RMSEs of the wind direction were 46.63°, 43.11°, 39.93°, and 47.47°, respectively. The HY-2A scatterometer overestimated low wind speeds, especially under rainy conditions. Rain exerted a diminishing effect on the wind speed retrievals with increasing wind speed, but its effect on wind direction was robust at low and moderate wind speeds. Relative to the TAO buoy data, the RMSEs without rain effect were reduced to 1.2 m·s−1 and 39.68° for the wind speed direction, respectively, regardless of wind speed. By investigating the objective laws between rain and the retrieval winds from HY-2A, we could improve the quality of wind retrievals through future studies.

Proactive Conservation Program: Species of Concern :: NOAA Fisheries

Science.gov (United States)

Invertebrates & Plants Species of Concern Threatened & Endangered Health & Stranding Marine Mammals : Species of Concern Species of Concern List | Grants and Technical Resources/Links bluefin tuna Bluefin Tuna (Thunnus thynnus) Photo: NOAA Species of Concern are those species about which we have some

2014 NOAA OCS Topobathy Lidar: New Jersey (H12606)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The National Oceanic and Atmospheric Administration (NOAA) has the statutory mandate to collect hydrographic data in support of nautical chart compilation for safe...

NOAA/NOS and USCGS Seabed Descriptions from Hydrographic Surveys

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA/NOS and USCGS Seabed Descriptions from Hydrographic Surveys database is a compilation of surficial sediment composition from multiple sources for over...

NASA-FAA-NOAA Partnering Strategy

Science.gov (United States)

Colantonio, Ron

2003-01-01

This viewgraph presentation provides an overview of NASA-FAA (Federal Aviation Administration) and NOAA (National Oceanic and Atmospheric Administration) collaboration efforts particularly in the area of aviation and aircraft safety. Five technology areas are being jointly by these agencies: (1) aviation weather information; (2) weather products; (3) automet technologies; (4) forward looking weather sensors and (5) turbulence controls and mitigation systems. Memorandum of Agreements (MOU) between these agencies are reviewed. A general review of the pros and pitfalls of inter-agency collaborations is also presented.

A Restrospective and Prospective Examination of NOAA Solar Imaging

Science.gov (United States)

Hill, S. M.

2015-12-01

NOAA has provided soft X-ray imaging of the lower corona since the early 2000's. It is currently building the spacecraft and instrumentation to observe the sun in the extreme ultraviolet (EUV) through 2036. After more than 6 million calibrated images, it is appropriate to examine NOAA data as providing retrospective context for scientific missions. In particular, this presentation examines the record of GOES Solar X-ray Imager (SXI) observations, including continuity, photometric stability and comparison to other contemporary x-ray imagers. The first GOES Solar X-ray Imager was launched in 2001 and entered operations in 2003. The current SXIs will remain in operations until approximately 2020, when a new series of Solar (extreme-)Ultraviolet Imagers (SUVIs) will replace them as the current satellites reach their end of life. In the sense that the SXIs are similar to Yokoh's SXT and Hinode's XRT, the SUVI instruments will be similar to SOHO's EIT and SDO's AIA. The move to narrowband EUV imagers will better support eventual operational estimation of plasma conditions. In particular, plans are to leverage advances in automated image processing and segmentation to assist forecasters. While NOAA's principal use of these observations is real-time space weather forecasting, they will continue to provide a consistent context measurement for researchers for decades to come.

Utilizing Weather RADAR for Rapid Location of Meteorite Falls and Space Debris Re-Entry

Science.gov (United States)

Fries, Marc D.

2016-01-01

This activity utilizes existing NOAA weather RADAR imagery to locate meteorite falls and space debris falls. The near-real-time availability and spatial accuracy of these data allow rapid recovery of material from both meteorite falls and space debris re-entry events. To date, at least 22 meteorite fall recoveries have benefitted from RADAR detection and fall modeling, and multiple debris re-entry events over the United States have been observed in unprecedented detail.

Acropora Location Database

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The National Oceanic and Atmospheric Administration (NOAA) and the Florida Fish and Wildlife Conservation Commission (FWC) have embarked upon a collaborative effort...

2012 NOAA Ortho-rectified Color Mosaic of Astoria, Oregon

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery...

2011 NOAA Ortho-rectified Mosaic of Intracoastal Waterway, Texas

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery...

2010 NOAA Ortho-rectified Mosaic of Lake Champlain, Vermont

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery...

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

NOAA is an active participant of the Global Framework for Climate Services (GFCS) contributing data, information, analytical capabilities, forecasts, and decision support services to the Climate Services Partnership (CSP). These contributions emerge from NOAA's own climate services, which have evolved to respond to the urgent and growing need for reliable, trusted, transparent, and timely climate information across all sectors of the U.S. economy. Climate services not only enhance development opportunities in many regions, but also reduce vulnerability to climate change around the world. The NOAA contribution lies within the NOAA Climate Goal mission, which is focusing its efforts on four key climate priority areas: water, extremes, coastal inundation, and marine ecosystems. In order to make progress in these areas, NOAA is exploiting its fundamental capabilities, including foundational research to advance understanding of the Earth system, observations to preserve and build the climate data record and monitor changes in climate conditions, climate models to predict and project future climate across space and time scales, and the development and delivery of decision support services focused on risk management. NOAA's National Weather Services (NWS) is moving toward provision of Decision Support Services (DSS) as a part of the Roadmap on the way to achieving a Weather Ready National (WRN) strategy. Both short-term and long-term weather, water, and climate information are critical for DSS and emergency services and have been integrated into NWS in the form of pilot projects run by National and Regional Operations Centers (NOC and ROCs respectively) as well as several local offices. Local offices with pilot projects have been focusing their efforts on provision of timely and actionable guidance for specific tasks such as DSS in support of Coastal Environments and Integrated Environmental Studies. Climate information in DSS extends the concept of climate services to

CURRENT DIRECTION, ICE - MOVEMENT - DIRECTION and other data from DRIFTING BUOY in the World-Wide Distribution from 1990-01-01 to 1991-03-31 (NODC Accession 9100102)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Drifting Buoy Data from the Canadian Data Center, submitted by Mr. Jean Gagron, Marine Environmental Data Service (MEDS) Ottawa, Ontario, Canada in GF-3 format for...

Water temperature, salinity, and surface meteorology measurements collected from the Tropical Moored Buoys Array in the equatorial oceans from November 1977 to March 2017. (NODC Accession 0078936)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The Global Tropical Moored Buoy Array Program is a multi-national effort to provide data in real-time for climate research and forecasting. Major components include...

NOAA Climate Data Record (CDR) of Visible and Near Infrared Reflectance from AVHRR, Version 1.0

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The AVHRR visible gains and offsets convert GAC pixel level counts to radiances and are provided for each visible band encompassing TIROS-N, NOAA-6 through NOAA-19...

TIROS-N/NOAA A-J space environment monitor subsystem. Technical memo

International Nuclear Information System (INIS)

Seale, R.A.; Bushnell, R.H.

1987-04-01

The Space Environment Monitor (SEM), which is incorporated as a subsystem in the TIROS-N and NOAA A-J satellites, is described. The SEM consists of a Total Energy Detector (TED), a Medium Energy Proton and Electron Detector (MEPED), a High Energy Proton and Alpha Detector (HEPAD) and a Data Processing Unit (DPU). The detectors are intended to provide near-real-time particle data for use in the Space Environment Service Center of National Oceanic and Atmospheric Administration (NOAA) and to provide a long-term scientific data base. Telemeter codes, data reduction, and test instructions are given

One Health: Understanding and Improving Human, Animal, and Environmental Health as a Connected System Across NOAA

Science.gov (United States)

Giltz, S.; Trtanj, J.; Jones, H.

2017-12-01

The One Health concept recognizes that the health of humans is inextricably linked with the health of animals and the environment. With a growing world population, changing climate, and increased global travel One Health approaches are increasingly useful. The National Oceanic and Atmospheric Administration (NOAA) provides key stakeholders in the public health sector with the environmental intelligence they need to mitigate emerging health threats. The NOAA One Health Working Group's mission is to integrate and coordinate the network of observing systems and in situ sensors, detection and diagnostic capacity, research and modeling efforts, and sustained engagement with health partners to deliver useful information to public health and resource management communities. The NOAA One Health group divides its broad focus into themes: thermal extremes, water-borne disease, seafood security, Arctic, wildlife and zoonotic disease, vector-borne disease, and air quality (including wildfire). The group connects the work being done throughout NOAA to coordinate One Health related efforts, increase information sharing, promote interdisciplinary approaches, and work towards better disease prevention. We are working to enhance NOAA Science and services to deliver useful information on current and emerging health risks and benefits to health decision makers.

NOAA Workforce Management Office, e-Learning, Commerce Learning Center

Science.gov (United States)

Assignment Program (NRAP) Presidential Management Fellows (PMFs) Program Coordination Office - Leadership (CLC) Home Careers at NOAA Search Criteria Click to Search WORKFORCE MANAGEMENT OFFICE Executive Resources Senior Executive Service ST and SL Responsibilities Performance Management Performance

Temperature profile and pressure data from CTD casts from NOAA Ship RONALD H. BROWN and NOAA Ship KA'IMIMOANA in the TOGA area of Pacific Ocean from 1997-08-05 to 1999-06-28 (NODC Accession 9900141)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Temperature profile and pressure data were collected using CTD casts in the TOGA area of Pacific Ocean from NOAA Ship RONALD H. BROWN and NOAA Ship KA'IMIMOANA from...

Real-time current, wave, temperature, salinity, and meteorological data from Gulf of Maine Ocean Observing System (GoMOOS) buoys, 11/30/2003 - 12/7/2003 (NODC Accession 0001259)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The Gulf of Maine Ocean Observing System (GoMOOS) collected real-time data with buoy-mounted instruments (e.g., accelerometers and Acoustic Doppler Current...

76 FR 39385 - Payment Policy Change for Access to NOAA Environmental Data, Information, and Related Products...

Science.gov (United States)

2011-07-06

... DEPARTMENT OF COMMERCE National Oceanic and Atmospheric Administration Payment Policy Change for... (NOAA), Department of Commerce. ACTION: Notice of Policy Change. SUMMARY: NOAA's National Data Centers... accepted forms of payment are Visa, MasterCard, American Express, Discover, wire transfers and Automated...

Temperature data from buoy casts in the North Atlantic Ocean from the COLUMBUS and HMAS SWAN from 01 August 1928 to 04 September 1932 (NODC Accession 0000242)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Temperature data were collected using buoy casts from the COLUMBUS and HMAS SWAN from August 1, 1928 to September 4, 1932 in the North Atlantic Ocean. Data were...

75 FR 15686 - NOAA'S Office of Ocean Exploration and Research (OER) Strategic Plan FY 2011-FY 2015

Science.gov (United States)

2010-03-30

...-01] NOAA'S Office of Ocean Exploration and Research (OER) Strategic Plan FY 2011-FY 2015 AGENCY... and Atmospheric Administration (NOAA), Commerce. ACTION: Notice of availability and request for public comment. [[Page 15687

NOAA ESRI Grid - NOAA ESRI GRID - 3 m Backscatter Mosaic of Tourmaline Bank, Puerto Rico, Project NF-08-04, UTM 19N NAD83

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This image represents a 3 meter resolution backscatter mosaic of selected portions of seafloor around Tourmaline Bank, Puerto Rico. NOAA's NOS/NCCOS/CCMA...

CAMEX-4 NOAA WP-3D VIDEO V1

Data.gov (United States)

National Aeronautics and Space Administration — The CAMEX-4 NOAA WP-3D Video dataset was collected during the fourth field campaign in the CAMEX series (CAMEX-4), which ran from 16 August to 25 September, 2001 and...

Stratus 9/VOCALS: Ninth Setting of the Stratus Ocean Reference Station & VOCALS Regional Experiment. Cruise RB-08-06, September 29-December 2, 2008. Leg 1: Charleston-Arica, September 29-November 3, 2008, Leg 2: Arica-Arica, November 9?December 2, 2008

Science.gov (United States)

2009-04-01

per day and plots of the data are posted in near real-time to the web . To view the daily data, visit the NOAA PMEL Moored CO2 Website:http...is ultimately transmitted to NDBC where the data are subjected to automated quality-control checks and then posted on the NDBC web site. The data...signals for immediate dissemination to Sistema Nacional de Alarma de Maremotos (SNAM) in SHOA, via internet. The buoy, installed on the ocean’s

Detection of coal mine fires in the Jharia coal field using NOAA/AVHRR data

Energy Technology Data Exchange (ETDEWEB)

Agarwal, R.; Singh, D.; Chauhan, D.S.; Singh, K.P. [Harcourt Butler Technological Institute, Kanpur (India)

2006-09-15

Coal fires represent a major problem in most coal producing countries. The Jharia coal field (JCF) has been affected by surface and sub-surface coal fires since the beginning of mining in the region in the mid 1800s. Currently research is focused on using freely available satellite data such as NOAA/AVHRR, MODIS (moderate resolution imaging spectrometer) etc for various applications. The potential of National Oceanographic and Atmospheric Administration (NOAA) Advanced Very High Resolution Radiometer (AVHRR) images for detecting coal fires and monitoring their progress and associated environmental hazards and risks to the local communities in the JCF has been reviewed. Three models, namely the thresholding model, the contextual model and the fuel mask model have been used to determine the potential fire pixels. Due to the coarse resolution of the NOAA/AVHRR data it was essential to determine sub-pixel fires as well. Results of this study have been verified using the MODIS active fires product, MOD14 (Terra). We have used ten images of NOAA/AVHRR for the year 2004 in this study, and the results are in broad agreement with the ground truth data.

NOAA NDBC SOS, 2007-present, sea_water_practical_salinity

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA NDBC SOS server is part of the IOOS DIF SOS Project. The stations in this dataset have sea_water_practical_salinity data. Because of the nature of SOS...

NOAA ESRI Geotiff - NOAA ESRI Geotiff - 3 m Backscatter Mosaic of Mona Island, Puerto Rico, Project NF-08-04, UTM 19N NAD83

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This image represents a 3 meter resolution backscatter mosaic of selected portions of seafloor around Mona Island, Puerto Rico. NOAA's NOS/NCCOS/CCMA Biogeography...

NOAA ESRI Grid - NOAA ESRI GRID - 3 m Backscatter Mosaic of Mona Island, Puerto Rico, Project NF-08-04, UTM 19N NAD83

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This image represents a 3 meter resolution backscatter mosaic of selected portions of seafloor around Mona Island, Puerto Rico. NOAA's NOS/NCCOS/CCMA Biogeography...

Measurement of Near-Surface Salinity, Temperature and Directional Wave Spectra using a Novel Wave-Following, Lagrangian Surface Contact Buoy

Science.gov (United States)

Boyle, J. P.

2016-02-01

Results from a surface contact drifter buoy which measures near-surface conductivity ( 10 cm depth), sea state characteristics and near-surface water temperature ( 2 cm depth) are described. This light (righting. It has a small above-surface profile and low windage, resulting in near-Lagrangian drift characteristics. It is autonomous, with low power requirements and solar panel battery recharging. Onboard sensors include an inductive toroidal conductivity probe for salinity measurement, a nine-degrees-of-freedom motion package for derivation of directional wave spectra and a thermocouple for water temperature measurement. Data retrieval for expendable, ocean-going operation uses an onboard Argos transmitter. Scientific results as well as data processing algorithms are presented from laboratory and field experiments which support qualification of buoy platform measurements. These include sensor calibration experiments, longer-term dock-side biofouling experiments during 2013-2014 and a series of short-duration ocean deployments in the Gulf Stream in 2014. In addition, a treatment method will be described which appears to minimize the effects of biofouling on the inductive conductivity probe when in coastal surface waters. Due to its low cost and ease of deployment, scores, perhaps hundreds of these novel instruments could be deployed from ships or aircraft during process studies or to provide surface validation for satellite-based measurements, particularly in high precipitation regions.

Extreme Wave Analysis by Integrating Model and Wave Buoy Data

Directory of Open Access Journals (Sweden)

Fabio Dentale

2018-03-01

Full Text Available Estimating the extreme values of significant wave height (HS, generally described by the HS return period TR function HS(TR and by its confidence intervals, is a necessity in many branches of coastal science and engineering. The availability of indirect wave data generated by global and regional wind and wave model chains have brought radical changes to the estimation procedures of such probability distribution—weather and wave modeling systems are routinely run all over the world, and HS time series for each grid point are produced and published after assimilation (analysis of the ground truth. However, while the sources of such indirect data are numerous, and generally of good quality, many aspects of their procedures are hidden to the users, who cannot evaluate the reliability and the limits of the HS(TR deriving from such data. In order to provide a simple engineering tool to evaluate the probability of extreme sea-states as well as the quality of such estimates, we propose here a procedure based on integrating HS time series generated by model chains with those recorded by wave buoys in the same area.

NOAA Ship Okeanos Explorer Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Okeanos Explorer Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System...

Deep profiles of temperature, salinity, oxygen saturation, and fluorescence from CTD casts from NOAA Ship Hi'ialakai, NOAA Ship Townsend Cromwell, and NOAA Ship Oscar Elton Sette cruises in the Northwest Hawaiian Islands and Guam 1999-2006 (NODC Accession 0038588)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The Pacific Islands Fisheries Science Center, part of the National Marine Fisheries Service, National Oceanic and Atmospheric Administration (NOAA), conducted...

NOAA Ship Nancy Foster Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Nancy Foster Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

NOAA Ship Ka'imimoana Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Ka'imimoana Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

NOAA Ship Bell M. Shimada Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Bell M. Shimada Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

NOAA Ship David Starr Jordan Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship David Starr Jordan Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

NOAA Ship Gordon Gunter Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Gordon Gunter Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

NOAA Ship Henry B. Bigelow Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Henry B. Bigelow Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

NOAA Ship Oregon II Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Oregon II Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

NOAA Ship Oscar Elton Sette Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Oscar Elton Sette Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic...

NOAA Ship Hi'ialakai Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Hi'ialakai Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

NOAA Ship Ronald Brown Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Ronald Brown Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

NOAA Ship Oscar Dyson Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Oscar Dyson Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System (SAMOS)...

Linking the watershed to the schoolshed: teaching sustainable development in K-12 with the Chester RIver Watershed Observatory

Science.gov (United States)

Trembanis, A. C.; Levin, D.; Seidel, J.

2012-12-01

The Chester River has been the subject of ongoing scientific studies in response to both the Clean Water Act and the EPA's Chesapeake Bay Program initiatives. The Upper, Middle, and Lower Chester are on the Maryland Department of Environment's list of "impaired waters". The Chester River Watershed (CRW) Observatory is lead by the Center for Environment & Society at Washington College. Eight clusters representing 22 public and private K-12 schools in the CRW provide the sampling sites distributed throughout the watershed. Weather stations will be installed at these sites allowing monitoring of the watershed's microclimate. Each cluster will be assigned a Basic Observation Buoy (BOB), an easy to assemble inexpensive buoy platform for real-time water column and atmospheric condition measurements. The BOBs are fitted with a data sonde to collect similar data parameters (e.g. salinity, temperature) as the main stem Chesapeake Bay buoys do. These assets will be deployed and the data transmitted to the Chester River Geographic Information System site for archival and visual display. Curriculum already developed for the Chesapeake Bay Interpretive Buoy System by the NOAA Chesapeake Bay Office will be adapted to the Chester River Watershed. Social issues of water sustainability will be introduced using the Watershed Game (Northland NEMO ®). During 2011 NOAA's Chesapeake Bay Office completed curriculum projects including Chesapeake Exploration, Build-a-Buoy (BaBs) and Basic Observation Buoys (BOBs). These engaging projects utilize authentic data and hands-on activities to demonstrate the tools scientists use to understand system interactions in the Bay. Chesapeake Exploration is a collection of online activities that provides teachers and students with unprecedented access to Bay data. Students are guided through a series of tasks that explore topics related to the interrelation between watersheds, land-use, weather, water quality, and living resources. The BaBs and BOBs

NOAA's Education Program: Review and Critique

Science.gov (United States)

Farrington, John W., Ed.; Feder, Michael A., Ed.

2010-01-01

There is a national need to educate the public about the ocean, coastal resources, atmosphere and climate. The National Oceanic and Atmospheric Administration (NOAA), the agency responsible for understanding and predicting changes in the Earth's environment and conserving and managing coastal and marine resources to meet the nation's…

NOAA Ship McArthurII Underway Meteorological Data, Quality Controlled

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship McArthur II Underway Meteorological Data (delayed ~10 days for quality control) are from the Shipboard Automated Meteorological and Oceanographic System...

NOAA, federal partners design 'early warning system' for freshwater

Science.gov (United States)

efficiently to real-time water quality issues and protect drinking water for their residents," said EPA changes in water quantity and quality, ecosystems, natural hazards, and environmental health issues , Ph.D., acting assistant secretary of commerce for conservation and management, and deputy NOAA

Physical profile data collected in the Equatorial Pacific during cruises to service the TAO array, a network of deep ocean moored buoys, from 2007-04-07 to the present

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — As part of the Tropical Atmosphere Ocean (TAO) Program, the National Data Buoy Center (NDBC) was responsible for the at-sea collection, quality control and...

Modeling marine surface microplastic transport to assess optimal removal locations

NARCIS (Netherlands)

Sherman, Peter; Van Sebille, Erik

2016-01-01

Marine plastic pollution is an ever-increasing problem that demands immediate mitigation and reduction plans. Here, a model based on satellite-tracked buoy observations and scaled to a large data set of observations on microplastic from surface trawls was used to simulate the transport of plastics

2016 NOAA NGS Ortho-rectified Color Mosaic of Anchorage, Alaska

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery...

2016 NOAA NGS Ortho-rectified Color Mosaic of Whittier, Alaska

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery...

2016 NOAA NGS Ortho-rectified Color Mosaic of Cleveland, Ohio

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery...

2010 NOAA Ortho-rectified Mosaic of Lake Michigan - West Coast

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery...

Exploring interoperability: The advancements and challenges of improving data discovery, access, and visualization of scientific data through the NOAA Earth Information System (NEIS). (Invited)

Science.gov (United States)

Stewart, J.; Lynge, J.; Hackathorn, E.; MacDermaid, C.; Pierce, R.; Smith, J.

2013-12-01

Interoperability is a complex subject and often leads to different definitions in different environments. An interoperable framework of web services can improve the user experience by providing an interface for interaction with data regardless of it's format or physical location. This in itself improves accessibility to data, fosters data exploration and use, and provides a framework for new tools and applications. With an interoperable system you have: -- Data ready for action. Services model facilitates agile response to events. Services can be combined or reused quickly, upgraded or modified independently. -- Any data available through an interoperable framework can be operated on or combined with other data. Integrating standardized formats and access. -- New and existing systems have access to wide variety of data. Any new data added is easily incorporated with minimal changes required. The possibilities are limitless. The NOAA Earth Information System (NEIS) at the Earth System Research Laboratory (ESRL) is continuing research into an interoperable framework of layered services designed to facilitate the discovery, access, integration, visualization, and understanding of all NOAA (past, present, and future) data. An underlying philosophy of NEIS is to take advantage of existing off-the-shelf technologies and standards to minimize development of custom code allowing everyone to take advantage of the framework to meet these goals above. This framework, while built by NOAA are not limited to NOAA data or applications. Any other data available through similar services or applications that understand these standards can work interchangeably. Two major challenges are under active research at ESRL are data discoverability and fast access to big data. This presentation will provide an update on development of NEIS, including these challenges, the findings, and recommendations on what is needed for an interoperable system, as well as ongoing research activities

Autonomous Ice Mass Balance Buoys for Seasonal Sea Ice

Science.gov (United States)

Whitlock, J. D.; Planck, C.; Perovich, D. K.; Parno, J. T.; Elder, B. C.; Richter-Menge, J.; Polashenski, C. M.

2017-12-01

The ice mass-balance represents the integration of all surface and ocean heat fluxes and attributing the impact of these forcing fluxes on the ice cover can be accomplished by increasing temporal and spatial measurements. Mass balance information can be used to understand the ongoing changes in the Arctic sea ice cover and to improve predictions of future ice conditions. Thinner seasonal ice in the Arctic necessitates the deployment of Autonomous Ice Mass Balance buoys (IMB's) capable of long-term, in situ data collection in both ice and open ocean. Seasonal IMB's (SIMB's) are free floating IMB's that allow data collection in thick ice, thin ice, during times of transition, and even open water. The newest generation of SIMB aims to increase the number of reliable IMB's in the Arctic by leveraging inexpensive commercial-grade instrumentation when combined with specially developed monitoring hardware. Monitoring tasks are handled by a custom, expandable data logger that provides low-cost flexibility for integrating a large range of instrumentation. The SIMB features ultrasonic sensors for direct measurement of both snow depth and ice thickness and a digital temperature chain (DTC) for temperature measurements every 2cm through both snow and ice. Air temperature and pressure, along with GPS data complete the Arctic picture. Additionally, the new SIMB is more compact to maximize deployment opportunities from multiple types of platforms.

76 FR 26254 - NOAA's Office of Ocean Exploration and Research (OER) Strategic Plan FY 2011-FY 2015

Science.gov (United States)

2011-05-06

..., and transitions the new knowledge and capabilities to the rest of NOAA, and the national and... management decisions to be made from relatively uninformed and incomplete knowledge. NOAA formed OER to..., and physical, chemical and biological characteristics. Data and observations resulting from OER...

WATER TEMPERATURE and other data from NOAA Ship MILLER FREEMAN and NOAA Ship CHAPMAN from 1990-02-14 to 1990-06-27 (NODC Accession 9200046)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The depth data in this accession was collected as part of South Atlantic Ventilation Experiment (SAVE). The cruises were conducted using NOAA Ship MILLER FREEMAN and...

Assessment of the Water Levels and Currents at the Mississippi Bight During Hurricane Katrina.

Science.gov (United States)

Nwankwo, U. C.; Howden, S. D.; Dodd, D.; Wells, D. E.

2017-12-01

In an effort to extend the length of GPS baselines further offshore, the Hydrographic Science Research Center at the University of Southern Mississippi deployed a buoy which had a survey grade GPS receiver, an ADPC and a motion sensor unit in the Mississippi Bight in late 2004. The GPS data were initially processed using the Post Processed Kinematic technique with data from a nearby GPS base station on Horn Island. This processing technique discontinued when the storm (Hurricane Katrina) destroyed the base station in late August of 2005. However, since then a stand-alone positioning technique termed Precise Point Positioning (PPP) matured and allowed for the reprocessing of the buoy GPS data throughout Katrina. The processed GPS data were corrected for buoy angular motions using Tait Bryan transformation model. Tidal datums (Epoch 1983-2001) were transferred from the National Oceanic and Atmospheric Administration (NOAA) National Water Level at Waveland, Mississippi (Station ID 8747766) to the buoy using the Modified Range Ratio method. The maximum water level during the storm was found to be about 3.578m, relative to the transferred Mean Sea Level datum. The storm surge built over more than 24 hours, but fell back to normal levels in less than 3 hours. The maximum speed of the current with respect to the seafloor was recorded to be about 4knots towards the southeast as the storm surge moved back offshore.

Comparison of Threshold Detection Methods for the Generalized Pareto Distribution (GPD): Application to the NOAA-NCDC Daily Rainfall Dataset

Science.gov (United States)

Deidda, Roberto; Mamalakis, Antonis; Langousis, Andreas

2015-04-01

One of the most crucial issues in statistical hydrology is the estimation of extreme rainfall from data. To that extent, based on asymptotic arguments from Extreme Excess (EE) theory, several studies have focused on developing new, or improving existing methods to fit a Generalized Pareto Distribution (GPD) model to rainfall excesses above a properly selected threshold u. The latter is generally determined using various approaches that can be grouped into three basic classes: a) non-parametric methods that locate the changing point between extreme and non-extreme regions of the data, b) graphical methods where one studies the dependence of the GPD parameters (or related metrics) to the threshold level u, and c) Goodness of Fit (GoF) metrics that, for a certain level of significance, locate the lowest threshold u that a GPD model is applicable. In this work, we review representative methods for GPD threshold detection, discuss fundamental differences in their theoretical bases, and apply them to daily rainfall records from the NOAA-NCDC open-access database (http://www.ncdc.noaa.gov/oa/climate/ghcn-daily/). We find that non-parametric methods that locate the changing point between extreme and non-extreme regions of the data are generally not reliable, while graphical methods and GoF metrics that rely on limiting arguments for the upper distribution tail lead to unrealistically high thresholds u. The latter is expected, since one checks the validity of the limiting arguments rather than the applicability of a GPD distribution model. Better performance is demonstrated by graphical methods and GoF metrics that rely on GPD properties. Finally, we discuss the effects of data quantization (common in hydrologic applications) on the estimated thresholds. Acknowledgments: The research project is implemented within the framework of the Action «Supporting Postdoctoral Researchers» of the Operational Program "Education and Lifelong Learning" (Action's Beneficiary: General

Climate Literacy: Climate.gov Follow-Up Evaluation—A Study of the Four NOAA Audiences

Science.gov (United States)

Niepold, F., III; Sullivan, S. B.; Gold, A. U.; Lynds, S. E.; Kirk, K.

2014-12-01

NOAA Climate.gov provides science and information for a climate-smart nation. Americans' health, security, and economic well-being are closely linked to climate and weather. NOAA Climate.gov's goals are to promote public understanding of climate science and climate-related events, to make our data products and services easy to access and use, to support educators in improving the nations climate literacy, and to serve people making climate-related decisions with tools and resources that help them answer specific questions.The Climate.Gov Follow-Up Study of the four NOAA Audiences (climate interested public, educators, scientists, policy-makers) built upon the previous literature review and evaluation study conducted by Mooney and Phillips in 2010 and 2012, http://tinyurl.com/ma8vo83. The CIRES Education and Outreach team at the Cooperative Institute for Research in Environmental Sciences at University of Colorado at Boulder and the NOAA Climate.gov team will present results of the new study that used the Quality of Relationship index (awareness, trust, satisfaction, usability, and control mutuality). This index was developed in the previous study and places a new emphasis on the experience of individual users from the four audiences in their regular work or home setting. This new evaluation project used mixed methods, including an online survey, usability studies, phone interviews, and web statistics, providing multiple lines of evidence from which to draw conclusion and recommendations.In the session, we will explore how the NOAA Climate.gov teams used the literature review and new CIRES research to address underlying challenges to achieving the portal's goals. The research in these studies finds that people seek information in ways that are complex and that they do so by consulting a vast array of technologies. Improved and different modes of access to information have, throughout history, been led by technological innovation, but human behavior tends to be

Real-time directional wave data collection

Digital Repository Service at National Institute of Oceanography (India)

AshokKumar, K.; Diwan, S.G.; Pednekar, P.S.

The wave measurements carried out along the east and west coasts off India at 13 locations using the directional waverider buoys are referred in this paper. The total number of buoy days are 4501 and out of which the data collected are 4218 days...

Wave modelling for the North Indian Ocean using MSMR analysed winds

Digital Repository Service at National Institute of Oceanography (India)

Vethamony, P.; Sudheesh, K.; Rupali, S.P.; Babu, M.T.; Jayakumar, S.; Saran, A; Basu, S.K.; Kumar, R.; Sarkar, A

prediction when NCMRWF winds blended with MSMR winds are utilised in the wave model. A comparison between buoy and TOPEX wave heights of May 2000 at 4 buoy locations provides a good match, showing the merit of using altimeter data, wherever it is difficult...

Noaa chlorofluorocarbon tracer program air and seawater measurements: 1986-1989. Data file

International Nuclear Information System (INIS)

Wisegarver, D.P.; Bullister, J.L.; Gammon, R.H.; Menzia, F.A.; Kelly, K.C.

1993-04-01

The NOAA Chlorofluorocarbon (CFC) Tracer Program at PMEL has been measuring the growing burden of these anthropogenic gases in the thermocline waters of the Pacific Ocean since 1980. The central goals of the NOAA CFC Tracer Program are to document the transient invasion of the CFC tracers into the Pacific Ocean, by means of repeat occupations of key hydrographic sections at 5-year intervals, and to interpret these changing distributions in terms of coupled ocean-atmosphere models. Studies are underway to use the CFC observations in model-validation studies, and to help develop predictive capabilities on the decade-to-century timescale. The report includes measurements of trichlorofluoromethane (CFC-11) and dichlorodifluoromethane (CFC-12) dissolved in seawater samples collected in the Pacific Ocean by the NOAA CFC Tracer Program on six cruises during the period of 1986-1989. Measurements of depth, pressure, salinity, temperature, and dissolved oxygen are included with the CFC data. Measurements of CFC-11 and CFC-12 in air samples collected along the cruise tracks are also included in the report. Data from the report are also available from the authors in digital format

NOAA-9 Earth Radiation Budget Experiment (ERBE) scanner offsets determination

Science.gov (United States)

Avis, Lee M.; Paden, Jack; Lee, Robert B., III; Pandey, Dhirendra K.; Stassi, Joseph C.; Wilson, Robert S.; Tolson, Carol J.; Bolden, William C.

1994-01-01

The Earth Radiation Budget Experiment (ERBE) instruments are designed to measure the components of the radiative exchange between the Sun, Earth and space. ERBE is comprised of three spacecraft, each carrying a nearly identical set of radiometers: a three-channel narrow-field-of-view scanner, a two-channel wide-field-of-view (limb-to-limb) non-scanning radiometer, a two-channel medium field-of view (1000 km) non-scanning radiometer, and a solar monitor. Ground testing showed the scanners to be susceptible to self-generated and externally generated electromagnetic noise. This paper describes the pre-launch corrective measures taken and the post-launch corrections to the NOAA-9 scanner data. The NOAA-9 scanner has met the mission objectives in accuracy and precision, in part because of the pre-launch reductions of and post-launch data corrections for the electromagnetic noise.

The Use of a Statistical Model of Storm Surge as a Bias Correction for Dynamical Surge Models and its Applicability along the U.S. East Coast

Directory of Open Access Journals (Sweden)

Haydee Salmun

2015-02-01

Full Text Available The present study extends the applicability of a statistical model for prediction of storm surge originally developed for The Battery, NY in two ways: I. the statistical model is used as a biascorrection for operationally produced dynamical surge forecasts, and II. the statistical model is applied to the region of the east coast of the U.S. susceptible to winter extratropical storms. The statistical prediction is based on a regression relation between the “storm maximum” storm surge and the storm composite significant wave height predicted ata nearby location. The use of the statistical surge prediction as an alternative bias correction for the National Oceanic and Atmospheric Administration (NOAA operational storm surge forecasts is shownhere to be statistically equivalent to the existing bias correctiontechnique and potentially applicable for much longer forecast lead times as well as for storm surge climate prediction. Applying the statistical model to locations along the east coast shows that the regression relation can be “trained” with data from tide gauge measurements and near-shore buoys along the coast from North Carolina to Maine, and that it provides accurate estimates of storm surge.

NOAA Ship Bell M. Shimada Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Bell M. Shimada Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System...

NOAA Ship Henry B. Bigelow Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Henry B. Bigelow Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System...

NOAA Ship Oscar Elton Sette Underway Meteorological Data, Near Real Time

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — NOAA Ship Oscar Elton Sette Underway Meteorological Data (Near Real Time, updated daily) are from the Shipboard Automated Meteorological and Oceanographic System...

Comparison of gridded multi-mission and along-track mono-mission satellite altimetry wave heights with in situ near-shore buoy data.

Digital Repository Service at National Institute of Oceanography (India)

Shanas, P.R.; SanilKumar, V.; Hithin, N.K.

and studied the validity of these observations against ship-reported and buoy data. Many studies have been undertaken on how best to use the data available from satellite observation systems in wave models (Mastenbroek, 1994; Young and Glowacki, 1996... Sea wave model. Journal of Geophysical Research 10, 5829–5849. Young, I.R., 1994. Global ocean wave statistics obtained from satellite observations. Applied Ocean Research 16, 235-248. Young, I.R., Glowacki, T.J., 1996. Assimilation of altimeter...

Bathymetry for Louisiana, Geographic NAD83, LOSCO (1994) [bathymetry_NOAA_1994

Data.gov (United States)

Louisiana Geographic Information Center — This is a line data depicting the offshore bathymetry_NOAA_1994 for Louisiana. The contour interval is 2 meters. These data were derived from point depths depicted...

NUCAPS: NOAA Unique Combined Atmospheric Processing System Outgoing Longwave Radiation (OLR)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set consists of Outgoing Longwave Radiation (OLR) from the NOAA Unique Combined Atmospheric Processing System (NUCAPS). NUCAPS was developed by the...

Current meter and temperature profile data from current meter and buoy casts in the TOGA area of Pacific Ocean from 29 March 1991 to 24 December 1993 (NODC Accession 9900057)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Current meter and temperature profile data were collected using current meter and buoy casts in the TOGA area of Pacific Ocean from 29 March 1991 to 24 December...

Temperature profile and current speed/direction data from ADCP, XBT, buoy, and CTD casts in the Northwest Pacific Ocean from 01 March 1989 to 01 June 1995 (NODC Accession 0000031)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Temperature profile and current speed/direction data were collected using ADCP, XBT, buoy, and CTD casts in the Northwest Pacific Ocean from 01 March 1989 to 01 June...

Long Term Monitoring of Atmospheric Composition at NOAA - Driving Science with 60 Year-old Records

Science.gov (United States)

Butler, J. H.

2017-12-01

NOAA's Global Monitoring Division and its precursor organizations have provided some of the longest real-time records of the trends and distributions of climatically relevant substances in the atmosphere, some going back for 60 years (http://www.esrl.noaa.gov/gmd). The focus of these measurements has been on obtaining reliable records of global trends and distributions of these substances, but the experimental design and use of measurements have advanced over time with evolving scientific questions. Today, and into this century, scientific questions continue to progress and the observing systems that address them will need to progress accordingly. Long-term, ground based observing systems in NOAA's Global Monitoring Division focus largely on three sets of questions, two of which align with WCRP grand challenges. These are Carbon Cycle System Feedbacks, Trends in Surface Radiation and Cloud Distributions, and Recovery of Stratospheric Ozone. The data collected and analyzed help us understand radiative forcing, climate sensitivity, air quality, climate modification, renewable energy options, and arctic processes, and they are useful for verifying model output and satellite retrievals. Regional information will become increasingly important for mitigating and adapting to climate change, and this information must be accurate, precise, and without bias. NOAA, with its long-standing networks and its role in providing calibrations for partnering organizations, is well positioned to provide the linkages necessary to assure that regional measurements are comparable. This presentation will identify major, climate-relevant findings that have come from NOAA's networks in the past and will address the long-term monitoring needs to support decision-making over coming decades as society begins to seriously address climate change.

Applications to marine disaster prevention spilled oil and gas tracking buoy system

CERN Document Server

2017-01-01

This book focuses on the recent results of the research project funded by a Grant-in-Aid for Scientific Research (S) of the Japan Society for the Promotion of Science (No. 23226017) from FY 2011 to FY 2015 on an autonomous spilled oil and gas tracking buoy system and its applications to marine disaster prevention systems from a scientific point of view. This book spotlights research on marine disaster prevention systems related to incidents involving oil tankers and offshore platforms, approaching these problems from new scientific and technological perspectives. The most essential aspect of this book is the development of a deep-sea underwater robot for real-time monitoring of blowout behavior of oil and gas from the seabed and of a new type of autonomous surface vehicle for real-time tracking and monitoring of oil spill spread and drift on the sea surface using an oil sensor. The mission of these robots is to provide the simulation models for gas and oil blowouts or spilled oil drifting on the sea surface w...

Method and apparatus for production of subsea hydrocarbon formations

Energy Technology Data Exchange (ETDEWEB)

Bladford, J.

1996-07-18

A system for controlling, separating, processing and exporting well fluids produced from subsea hydrocarbon formations is disclosed. The subsea well tender system includes a surface buoy supporting one or more decks above the water surface for accommodating equipment to process oil, gas and water recovered from the subsea hydrocarbon formation. The surface buoy includes a surface-piercing central flotation column connected to one or more external flotation tanks located below the water surface. The surface buoy is secured to the seabed by one or more tendons which are anchored to a foundation with piles imbedded in the seabed. The system accommodates multiple versions on the surface buoy configuration. (author) figs.

Summary of sea turtle strandings documented by NOAA Galveston 1995-Present

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The database contains records pertaining to all sea turtles recovered by the NOAA Galveston Laboratory as the local representative of the Southeast Fisheries Science...

Current meter and temperature profile data from current meter and buoy casts in the TOGA area of Pacific Ocean from 27 April 1993 to 09 June 1994 (NODC Accession 9700042)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Current meter and temperature profile data were collected using current meter and buoy casts in the TOGA area of Pacific Ocean from 27 April 1993 to 09 June 1994....

Physical profile and meteorological data from CTD casts during cruises to service the TAO/TRITON buoys in the equatorial Pacific from 02 March 2002 to 22 November 2002 (NODC Accession 0000945)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — Physical profile data and meteorological data were collected from CTD casts in the equatorial Pacific Ocean during cruises to to service the TAO/TRITON buoy array....

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

NOAA Climate Data Record (CDR) of Ocean Heat Fluxes, Version 2

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — The NOAA Ocean Surface Bundle (OSB) Climate Data Record (CDR) consist of three parts: sea surface temperature; near-surface wind speed, air temperature, and specific...

2016 NOAA NGS Ortho-rectified Near-Infrared Mosaic of Cleveland, Ohio

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery...

NOAA Climate Data Record (CDR) of AVHRR Polar Pathfinder (APP) Cryosphere

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This NOAA Climate Data Record (CDR) contains the AVHRR Polar Pathfinder (APP) product. APP is a fundamental CDR comprised of calibrated and navigated AVHRR channel...

2016 NOAA NGS Ortho-rectified Color Mosaic of Baton Rouge, Louisiana

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery...

2012 NOAA Ortho-rectified Color Mosaic of Bremerton and Manchester, Washington

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains ortho-rectified mosaic tiles, created as a product from the NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative. The source imagery...

Arctic Observing Experiment (AOX) Field Campaign Report

Energy Technology Data Exchange (ETDEWEB)

Rigor, Ignatius [Applied Physics Lab, University of Washington; Johnson, Jim [Applied Physics Lab, University of Washington; Motz, Emily [National Ice Center; Bisic, Aaron [National Ice Center

2017-06-30

Our ability to understand and predict weather and climate requires an accurate observing network. One of the pillars of this network is the observation of the fundamental meteorological parameters: temperature, air pressure, and wind. We plan to assess our ability to measure these parameters for the polar regions during the Arctic Observing Experiment (AOX, Figure 1) to support the International Arctic Buoy Programme (IABP), Arctic Observing Network (AON), International Program for Antarctic Buoys (IPAB), and Southern Ocean Observing System (SOOS). Accurate temperature measurements are also necessary to validate and improve satellite measurements of surface temperature across the Arctic. Support for research associated with the campaign is provided by the National Science Foundation, and by other US agencies contributing to the US Interagency Arctic Buoy Program. In addition to the support provided by the U.S Department of Energy (DOE) Atmospheric Radiation Measurement (ARM) Climate Research Facility’s North Slope of Alaska (NSA) site at Barrow and the National Science Foundation (NSF), the U.S. IABP is supported by the U.S. Coast Guard (USCG), the National Aeronautics and Space Administration (NASA), the National Ice Center (NIC), the National Oceanic and Atmospheric Administration (NOAA), and the Office of Naval Research (ONR).

E and F region study of the evening sector auroral oval: A Chatanika/Dynamics Explorer 2/NOAA 6 comparison

International Nuclear Information System (INIS)

Senior, C.; Sharber, J.R.; Winningham, J.D.; De La Beaujardiere, O.; Heelis, R.A.; Evans, D.S.; Sugiura, M.; Hoegy, W.R.

1987-01-01

Simultaneous data obtained with the Chatanika incoherent scatter radar and the Dynamics Explorer 2 (DE 2) and NOAA 6 satellites are used to relate the locations of the precipitating particles, field-aligned currents, and E and F region ionization structures in the evening-sector auroral oval. The auroral E layer observed by the radar extends about 2 degree equatorward of the electron precipitation region, and its equatorward edge coincides with the equatorward edges of the region 2 field-aligned current and intense convection region (E ≅ 50 mV/m). It is shown that precipitating protons are responsible for part of the E region ionization within the electron precipitation region as well as south of it. E region density profiles calculated from ion spectra measured by the DE 2 and NOAA 5 satellites are in fairly good agreement with the Chatanika data. in the F region, a channel of enhanced ionization density, elongated along the east-west direction and having a width of about 100 km, marks the poleward edge of the main trough. it is colocated with the equatorward boundary of the electron precipitation from the central plasma sheet. Although enhanced fluxes of soft electrons are observed at this boundary, the energy input to the ionospheric electron gas, calculated from the radar data, shows that this ionization channel is not locally produced by this soft precipitation, but that it is rather a convected feature. In fact, both the trough and the ionization channel are located in a region where the plasma flows sunward at high speed, but the flux tubes associated with theses two features have different convective time histories. Keeping in mind that several processes operate together in the F region, the data set is consistent with the included trough and ionization channel formation mechanisms

NOAA: Primary GOES-R instrument cleared for installation onto spacecraft

Science.gov (United States)

NOAA HOME WEATHER OCEANS FISHERIES CHARTING SATELLITES CLIMATE RESEARCH COASTS CAREERS National primary instrument for scanning Earth's weather, oceans, and environment and is a significant improvement changes in the Earth's environment, from the depths of the ocean to the surface of the sun, and to

SBUV2/NOAA-09 Ozone Profile, Ozone Total Column 1-Orbit L2 200x200 km V008

Data.gov (United States)

National Aeronautics and Space Administration — The version 8 SBUV/2 NOAA-9 ozone data were first released at the 2004 Quadrennial Ozone Symposium on DVD. The DVD contained all of the SBUV/2 data from NOAA-9,...

SBUV2/NOAA-16 Ozone Profile, Ozone Total Column 1-Orbit L2 200x200 km V008

Data.gov (United States)

National Aeronautics and Space Administration — The version 8 SBUV/2 NOAA-16 ozone data were first released at the 2004 Quadrennial Ozone Symposium on DVD. The DVD contained all of the SBUV/2 data from NOAA-9,...

Estimating Planetary Boundary Layer Heights from NOAA Profiler Network Wind Profiler Data

Science.gov (United States)

Molod, Andrea M.; Salmun, H.; Dempsey, M

2015-01-01

An algorithm was developed to estimate planetary boundary layer (PBL) heights from hourly archived wind profiler data from the NOAA Profiler Network (NPN) sites located throughout the central United States. Unlike previous studies, the present algorithm has been applied to a long record of publicly available wind profiler signal backscatter data. Under clear conditions, summertime averaged hourly time series of PBL heights compare well with Richardson-number based estimates at the few NPN stations with hourly temperature measurements. Comparisons with clear sky reanalysis based estimates show that the wind profiler PBL heights are lower by approximately 250-500 m. The geographical distribution of daily maximum PBL heights corresponds well with the expected distribution based on patterns of surface temperature and soil moisture. Wind profiler PBL heights were also estimated under mostly cloudy conditions, and are generally higher than both the Richardson number based and reanalysis PBL heights, resulting in a smaller clear-cloudy condition difference. The algorithm presented here was shown to provide a reliable summertime climatology of daytime hourly PBL heights throughout the central United States.

2014 NOAA Ortho-rectified Mosaic of Hurricane Sandy Coastal Impact Area

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — This data set contains ortho-rectified mosaic tiles at 0.35m GSD created for NOAA Integrated Ocean and Coastal Mapping (IOCM) initiative in Hurricane Sandy coastal...

Physical profile data collected in the Equatorial Pacific during cruises to service the TAO/TRITON array, a network of deep ocean moored buoys, February 23 - December 16, 2005 (NODC Accession 0002644)

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — During 2005, CTD data were collected in the equatorial Pacific Ocean during cruises to service the TAO/TRITON array, a network of deep ocean moored buoys to support...

CRED Coral Reef Early Warning System (CREWS) Standard Buoy, Environmental Data Logger (EDL); NWHI, MAR; Long: -170.63382, Lat: 25.44643 (WGS84); Sensor Depth: 0.00m; Data Range: 20051016-20060907.

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Standard (CREWS-STD) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

CRED Coral Reef Early Warning System (CREWS) Standard Buoy, Environmental Data Logger (EDL); NWHI, PHR; Long: -175.81593, Lat: 27.85397 (WGS84); Sensor Depth: 0.00m; Data Range: 20040927-20060912.

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Standard (CREWS-STD) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

CRED Coral Reef Early Warning System (CREWS) Standard Buoy, Environmental Data Logger (EDL); NWHI, KUR; Long: -178.34453, Lat: 28.41852 (WGS84); Sensor Depth: 0.00m; Data Range: 20060917-20080929.

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Standard (CREWS-STD) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Environmental Data Logger (EDL); NWHI, FFS; Long: -166.27183, Lat: 23.85678 (WGS84); Sensor Depth: 0.00m; Data Range: 20040919-20050411.

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to sea surface measure water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Environmental Data Logger (EDL); NWHI, FFS; Long: -166.27183, Lat: 23.85678 (WGS84); Sensor Depth: 0.00m; Data Range: 20030718-20030826.

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to sea surface measure water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Environmental Data Logger (EDL); NWHI, FFS; Long: -166.27183, Lat: 23.85678 (WGS84); Sensor Depth: 0.00m; Data Range: 20020911-20030718.

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to sea surface measure water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Environmental Data Logger (EDL); PRIA, PAL; Long: -162.10283, Lat: 05.88468 (WGS84); Sensor Depth: 0.00m; Data Range: 20020315-20021024.

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to sea surface measure water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Environmental Data Logger (EDL); CNMI, SAI; Long: 145.72285, Lat: 15.23750 (WGS84); Sensor Depth: 0.00m; Data Range: 20030819-20050921.

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to sea surface measure water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Environmental Data Logger (EDL); NWHI, FFS; Long: -166.27183, Lat: 23.85678 (WGS84); Sensor Depth: 0.00m; Data Range: 20050411-20060904.

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to sea surface measure water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Environmental Data Logger (EDL); PRIA, PAL; Long: -162.10282, Lat: 05.88467 (WGS84); Sensor Depth: 0.00m; Data Range: 20040330-20060325.

Data.gov (United States)

National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to sea surface measure water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...