WorldWideScience

Sample records for buoys

  1. 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...

  2. 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...

  3. 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.

  4. 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...

  5. Loading/unloading buoy. Laste/lossebye

    Energy Technology Data Exchange (ETDEWEB)

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

    1994-07-04

    The invention relates to a buoy for use in loading or unloading of a flowable medium, especially oil. The buoy is at its lower end arranged for connection to at least one transfer line and further being arranged to be introduced into a submerged downwardly open receiving space in a floating vessel. The buoy forms in operation a transfer connection between the transfer line and a tube system on the vessel. The buoy comprises an outer buoyancy member arranged for releasable locking to the receiving space of the vessel by means of a locking mechanism arranged therein, and centrally in the outer member a rotatably mounted member which forms a passage for medium and at its ends is arranged for connection to the transfer line and the tube system on the vessel, respectively. The buoy at its upper end is connected to a means for hoisting and introducing the buoy into the receiving space of the vessel. 8 figs.

  6. Buoy-Rope-Drum Wave Power System

    Directory of Open Access Journals (Sweden)

    Linsen Zhu

    2013-01-01

    Full Text Available A buoy-rope-drum wave power system is a new type of floating oscillating buoy wave power device, which absorbs energy from waves by buoy-rope-drum device. Based on the linear deep water wave theory and pure resistive load, with cylinder buoy as an example, the research sets up the theoretical model of direct-drive buoy-rope-drum wave power efficiency and analyzes the influence of the mass and load of the system on its generating efficiency. It points out the two main categories of the efficient buoy-rope-drum wave power system: light thin type and resonance type, and optimal designs of their major parameters are carried out on the basis of the above theoretical model of generating efficiency.

  7. 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,...

  8. 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.

  9. 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.

  10. 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.

  11. 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.

  12. 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...

  13. 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...

  14. 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,...

  15. 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

  16. 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.

  17. 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,...

  18. 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

  19. 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

  20. 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.

  1. 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)

  2. 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.

  3. Design of Buoys for Mounting Wind Turbines at Exposed Sites

    Science.gov (United States)

    Erdoğan, Beytullah; Çelıkkol, Barbaros; Swift, Robinson

    2018-04-01

    In this study, two designs for a buoy capable of supporting a 10 kW wind turbine and its tower were developed to operate at the University of New Hampshire's Center of Ocean Renewable Energy testing site located off the Isles of Shoals, New Hampshire. The buoys are to be moored by a catenary chain system. To evaluate wave response, two Froude-scaled models were constructed, tested, and compared at the Ocean Engineering wave tank at the University of New Hampshire. These buoys have been implemented and compared with wave tank measurements of the spar displacement at a reference elevation 2.44 m above the mean water level.

  4. 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...

  5. 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...

  6. 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...

  7. 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.

  8. 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.

  9. 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.

  10. 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....

  11. 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).

  12. 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...

  13. 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

  14. Design of a Low-cost Oil Spill Tracking Buoy

    Science.gov (United States)

    Zhao, Y.; Hu, X.; Yu, F.; Dong, S.; Chen, G.

    2017-12-01

    As the rapid development of oil exploitation and transportation, oil spill accidents, such as Prestige oil spill, Gulf of Mexico oil spill accident and so on, happened frequently in recent years which would result in long-term damage to the environment and human life. It would be helpful for rescue operation if we can locate the oil slick diffusion area in real time. Equipped with GNSS system, current tracking buoys(CTB), such as Lagrangian drifting buoy, Surface Velocity Program (SVP) drifter, iSLDMB (Iridium self locating datum marker buoy) and Argosphere buoy, have been used as oil tracking buoy in oil slick observation and as validation tools for oil spill simulation. However, surface wind could affect the movement of oil slick, which couldn't be reflected by CTB, thus the oil spill tracking performance is limited. Here, we proposed an novel oil spill tracking buoy (OSTB) which has a low cost of less than $140 and is equipped with Beidou positioning module and sails to track oil slick. Based on hydrodynamic equilibrium model and ocean dynamic analysis, the wind sails and water sails are designed to be adjustable according to different marine conditions to improve tracking efficiency. Quick release device is designed to assure easy deployment from air or ship. Sea experiment was carried out in Jiaozhou Bay, Northern China. OSTB, SVP, iSLDMB, Argosphere buoy and a piece of oil-simulated rubber sheet were deployed at the same time. Meanwhile, oil spill simulation model GNOME (general NOAA operational modeling environment) was configured with the wind and current field, which were collected by an unmanned surface vehicle (USV) mounted with acoustic Doppler current profilers (ADCP) and wind speed and direction sensors. Experimental results show that the OSTB has better relevance with rubber sheet and GNOME simulation results, which validate the oil tracking ability of OSTB. With low cost and easy deployment, OSTB provides an effective way for oil spill numerical

  15. 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.

  16. 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.

  17. Evaluating the Effectiveness of DART® Buoy Networks Based on Forecast Accuracy

    Science.gov (United States)

    Percival, Donald B.; Denbo, Donald W.; Gica, Edison; Huang, Paul Y.; Mofjeld, Harold O.; Spillane, Michael C.; Titov, Vasily V.

    2018-03-01

    A performance measure for a DART® tsunami buoy network has been developed. DART® buoys are used to detect tsunamis, but the full potential of the data they collect is realized through accurate forecasts of inundations caused by the tsunamis. The performance measure assesses how well the network achieves its full potential through a statistical analysis of simulated forecasts of wave amplitudes outside an impact site and a consideration of how much the forecasts are degraded in accuracy when one or more buoys are inoperative. The analysis uses simulated tsunami amplitude time series collected at each buoy from selected source segments in the Short-term Inundation Forecast for Tsunamis database and involves a set for 1000 forecasts for each buoy/segment pair at sites just offshore of selected impact communities. Random error-producing scatter in the time series is induced by uncertainties in the source location, addition of real oceanic noise, and imperfect tidal removal. Comparison with an error-free standard leads to root-mean-square errors (RMSEs) for DART® buoys located near a subduction zone. The RMSEs indicate which buoy provides the best forecast (lowest RMSE) for sections of the zone, under a warning-time constraint for the forecasts of 3 h. The analysis also shows how the forecasts are degraded (larger minimum RMSE among the remaining buoys) when one or more buoys become inoperative. The RMSEs provide a way to assess array augmentation or redesign such as moving buoys to more optimal locations. Examples are shown for buoys off the Aleutian Islands and off the West Coast of South America for impact sites at Hilo HI and along the US West Coast (Crescent City CA and Port San Luis CA, USA). A simple measure (coded green, yellow or red) of the current status of the network's ability to deliver accurate forecasts is proposed to flag the urgency of buoy repair.

  18. Evaluating the Effectiveness of DART® Buoy Networks Based on Forecast Accuracy

    Science.gov (United States)

    Percival, Donald B.; Denbo, Donald W.; Gica, Edison; Huang, Paul Y.; Mofjeld, Harold O.; Spillane, Michael C.; Titov, Vasily V.

    2018-04-01

    A performance measure for a DART® tsunami buoy network has been developed. DART® buoys are used to detect tsunamis, but the full potential of the data they collect is realized through accurate forecasts of inundations caused by the tsunamis. The performance measure assesses how well the network achieves its full potential through a statistical analysis of simulated forecasts of wave amplitudes outside an impact site and a consideration of how much the forecasts are degraded in accuracy when one or more buoys are inoperative. The analysis uses simulated tsunami amplitude time series collected at each buoy from selected source segments in the Short-term Inundation Forecast for Tsunamis database and involves a set for 1000 forecasts for each buoy/segment pair at sites just offshore of selected impact communities. Random error-producing scatter in the time series is induced by uncertainties in the source location, addition of real oceanic noise, and imperfect tidal removal. Comparison with an error-free standard leads to root-mean-square errors (RMSEs) for DART® buoys located near a subduction zone. The RMSEs indicate which buoy provides the best forecast (lowest RMSE) for sections of the zone, under a warning-time constraint for the forecasts of 3 h. The analysis also shows how the forecasts are degraded (larger minimum RMSE among the remaining buoys) when one or more buoys become inoperative. The RMSEs provide a way to assess array augmentation or redesign such as moving buoys to more optimal locations. Examples are shown for buoys off the Aleutian Islands and off the West Coast of South America for impact sites at Hilo HI and along the US West Coast (Crescent City CA and Port San Luis CA, USA). A simple measure (coded green, yellow or red) of the current status of the network's ability to deliver accurate forecasts is proposed to flag the urgency of buoy repair.

  19. 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.

  20. 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.

  1. 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.

  2. 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...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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.

  9. 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.

  10. 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.

  11. Evidence that grey seals (Halichoerus grypus use above-water vision to locate baited buoys

    Directory of Open Access Journals (Sweden)

    Arne Fjälling

    2007-01-01

    Full Text Available Fishing gear in the Baltic is often raided by grey seals (Halichoerus grypus. The seals remove the fish and damage the nets, or entangle themselves and drown. In order to develop ways of mitigating the seals-fisheries conflict, it is important to know exactly how the seals locate the fishing gear. A field experiment was conducted in order to clarify whether seals use their vision above water to do this. Bait (herring; Clupea harengus was attached to the anchor lines of buoys of the type that is commonly used to mark the position of fishing gear. In all, 643 buoys were set. Some of the buoys (210 were also fitted with camera traps. Weather data were collected from official weather stations nearby. Bait loss (mean 18% was significantly correlated with buoy size (P = 0.002 and wind speed (P = 0.04. There was a significant association between bait loss and seal observations near the buoys (P = 0.05. Five photos of grey seals were obtained from the camera traps. No fish-eating birds, such as cormorants or mergansers, were ever observed near the buoys or caught on camera. It was concluded that a main cause of missing bait was scavenging by grey seals, and that they did use above-water vision to locate the buoys. It was also concluded that wind strength (i.e. wave action contributed tothe bait loss. The camera trap buoys had a somewhat lower bait loss than the other buoys (P = 0.054, which was attributed to a scaring effect. Neither the number of seal observations nor the bait loss differed significantly between the 2 study areas in the experiment (P = 0.43 and P = 0.83, respectively. Bait loss was not affected by the buoy colour (red, white, or grey; P = 0.87. We suggest that the findings of this experiment could be put into practice in a seal-disturbed area by deploying a number of decoy buoys, or by hiding live buoys below the surface of the water. This would increase the cost of foraging for the seals, and hence discourage them from exploiting

  12. 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.

  13. 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....

  14. 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....

  15. 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....

  16. 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....

  17. 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...

  18. 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...

  19. NODC Standard Product: NOAA Marine environmental buoy database Webdisc (7 disc set) (NCEI Accession 0090141)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This CD-ROM set contains the historic archive of meteorological and oceanographic data collected by moored buoys and C-MAN stations operated by the NOAA National...

  20. 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.

  1. 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.

  2. 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.

  3. 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

  4. 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

  5. US program in anchored data buoy and the other fixed observation platforms

    Science.gov (United States)

    McCall, J. C.

    The NOAA Data Buoy Office (NOBO) develops and operates moored buoys in all U.S. coastal and offshore waters from New England to Hawaii (including the Great Lakes) to provide real-time environmental measurements in data-sparse areas for the National Weather Service and other public and private users. The NOBO also has a program for development, deployment, and operation of drifting buoys, which provide environmental measurements in the South Atlantic and Pacific from Chili to Australia and in the Northern Hemisphere. In addition, NOBO develops, deploys, and operates special purpose environmental measuring systems for other government agencies, particularly for petroleum-related purposes, and has an engineering development effort in procuring new and improved sensor and communications systems.

  6. 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.

  7. 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.

  8. 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

  9. 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

  10. 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

  11. 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.

  12. 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...

  13. 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

  14. 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.

  15. 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

  16. 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.

  17. 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.

  18. 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...

  19. 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...

  20. 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.

  1. 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...

  2. NODC Standard Product: NOAA Marine environmental buoy database 1993 with Updates (19 disc set) (NCEI Accession 0095199)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This set of CD-ROMs holds marine meteorological, oceanographic, and wave spectra data collected by moored buoys and C-MAN (Coastal-Marine Automated Network) stations...

  3. 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...

  4. 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...

  5. 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...

  6. 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...

  7. 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...

  8. 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)

  9. 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.

  10. 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.

  11. 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.

  12. 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...

  13. 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.

  14. 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

  15. 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.

  16. 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

  17. 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...

  18. 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.

  19. 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...

  20. 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...

  1. 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.

  2. 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...

  3. 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...

  4. 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

  5. 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.

  6. 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...

  7. 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...

  8. 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.

  9. 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...

  10. 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...

  11. 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...

  12. 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...

  13. 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.

  14. Rancang Bangun Maximum Power Point Tracking pada Panel Photovoltaic Berbasis Logika Fuzzy di Buoy Weather Station

    Directory of Open Access Journals (Sweden)

    Bayu Prima Juliansyah Putra

    2013-09-01

    Full Text Available Salah satu aplikasi yang sering digunakan dalam bidang energi terbarukan adalah panel photovoltaic. Panel ini memiliki prinsip kerja berdasarkan efek photovoltaic dimana lempengan logam akan menghasilkan energi listrik apabila diberi intensitas cahaya. Untuk menghasilkan daya keluaran panel yang maksimal, maka diperlukan suatu algoritma yang biasa disebut Maximum Power Point Tracking (MPPT.MPPT yang diterapkan pada sistem photovoltaic berfungsi untuk mengatur nilai tegangan keluaran panel sehingga titik ker-janya beroperasi pada kondisi maksimal. Algoritma MPPT pada panel ini telah dilakukan dengan menggunakan logika fuzzy melalui mikrokontroler Arduino Uno sebagai pem-bangkit sinyal Pulse Width Modulation (PWM yang akan dikirimkan menuju DC-DC Buck Boost Converter. Keluaran dari buck boost converterakan dihubungkan secara langsung dengan buoy weather station untuk menyuplai energi listrik tiap komponen yang berada di dalamnya. Untuk menguji performansi dari algoritma MPPT yang telah dirancang, maka sistem akan diuji menggunakan variasi beban antara metode direct-coupled dengan MPPT menggunakan logika fuzzy. Hasil pengujian menunjukkan bahwa MPPT dengan logika fuzzy dapat menghasilkan daya maksimum daripada direct-coupled. Pada sistem panel photovoltaic ini memiliki range efisiensi 33.07589 % hingga 74.25743 %. Daya mak-simal dapat dicapai oleh sistem untuk tiap variasi beban dan efisiensi maksimal dapat dicapai pada beban 20 Ohm dari hasil pengujian sistem MPPT.

  15. 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...

  16. 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

    The coastal zone is an important area for the development of maritime countries, either in terms of recreation, energy exploitation, weather forecasting or national security. Field measurements are in the basis of understanding how coastal and oceanic processes occur. Most processes occur over long timescales and over large spatial ranges, like the variation of mean sea level. These processes also involve a variety of factors such as waves, winds, tides, storm surges, currents, etc., that cause huge interference on such phenomena. Measurement of waves have been carried out using different techniques. The instruments used to measure wave parameters can be very different, i.e. buoys, ship base equipment like sonar and satellites. Each equipment has its own advantage and disadvantage depending on the study subject. The purpose of this study is to evaluate the behaviour of a different technology available and presently adopted in wave measurement. In the past few years the measurement of waves using High Frequency (HF) Radars has had several developments. Such a method is already established as a powerful tool for measuring the pattern of surface current, but its use in wave measurements, especially in the dual arrangement is recent. Measurement of the backscatter of HF radar wave provides the raw dataset which is analyzed to give directional data of surface elevation at each range cell. Buoys and radars have advantages, disadvantages and its accuracy is discussed in this presentation. A major advantage with HF radar systems is that they are unaffected by weather, clouds or changing ocean conditions. The HF radar system is a very useful tool for the measurement of waves over a wide area with real-time observation, but it still lacks a method to check its accuracy. The primary goal of this study was to show how the HF radar system responds to high energetic variations when compared to wave buoy data. The bulk wave parameters used (significant wave height, period and

  17. Field evaluation of remote wind sensing technologies: Shore-based and buoy mounted LIDAR systems

    Energy Technology Data Exchange (ETDEWEB)

    Herrington, Thomas [Stevens Inst. of Technology, Hoboken, NJ (United States)

    2017-11-03

    In developing a national energy strategy, the United States has a number of objectives, including increasing economic growth, improving environmental quality, and enhancing national energy security. Wind power contributes to these objectives through the deployment of clean, affordable and reliable domestic energy. To achieve U.S. wind generation objectives, the Wind and Water Power Program within the Department of Energy’s (DOE) Office of Energy Efficiency and Renewable Energy (EERE) instituted the U.S. Offshore Wind: Removing Market Barriers Program in FY 2011. Accurate and comprehensive information on offshore wind resource characteristics across a range of spatial and temporal scales is one market barrier that needs to be addressed through advanced research in remote sensing technologies. There is a pressing need for reliable offshore wind-speed measurements to assess the availability of the potential wind energy resource in terms of power production and to identify any frequently occurring spatial variability in the offshore wind resource that may impact the operational reliability and lifetime of wind turbines and their components and to provide a verification program to validate the “bankability” of the output of these alternative technologies for use by finance institutions for the financing of offshore wind farm construction. The application of emerging remote sensing technologies is viewed as a means to cost-effectively meet the data needs of the offshore wind industry. In particular, scanning and buoy mounted LIDAR have been proposed as a means to obtain accurate offshore wind data at multiple locations without the high cost and regulatory hurdles associated with the construction of offshore meteorological towers. However; before these remote sensing technologies can be accepted the validity of the measured data must be evaluated to ensure their accuracy. The proposed research will establish a unique coastal ocean test-bed in the Mid-Atlantic for

  18. 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

  19. 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...

  20. 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).

  1. 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.

  2. 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.

  3. 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.

  4. 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

  5. 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

  6. Mooring Mechanics. A Comprehensive Computer Study. Volume II. Three Dimensional Dynamic Analysis of Moored and Drifting Buoy Systems

    Science.gov (United States)

    1976-12-01

    11w; R R + R N~ow; Rop oc cp Ep R•-op E R -cIE + PEB x Rp and A Ep = OgC]E + EW’EB]E X Wp+ W E Bxx where; WEB is the angular velocity of the buoy. Let...viscous drag forces are proportional to the square of the relative fluid veloicty is used. In Figure 2.1 ow Roc +Rcp + pw "’"VEw VEc + WEB x Rcp + [fpw]E...LI *cZc MW I *-U OJL Z-14 l’- wix .JO-4 1 0- .CJN Z-WO- L)--f’- 1- 09 1 - M _ LIX - I XO-’- *-M WWWV-4 +>(X- .. *-i V-4"N QLI "L I X ~ Z - <x li _j

  7. Characterization Of Ocean Wind Vector Retrievals Using ERS-2 High-Resolution Long-Term Dataset And Buoy Measurements

    Science.gov (United States)

    Polverari, F.; Talone, M.; Crapolicchio, R. Levy, G.; Marzano, F.

    2013-12-01

    The European Remote-sensing Satellite (ERS)-2 scatterometer provides wind retrievals over Ocean. To satisfy the needs of high quality and homogeneous set of scatterometer measurements, the European Space Agency (ESA) has developed the project Advanced Scatterometer Processing System (ASPS) with which a long-term dataset of new ERS-2 wind products, with an enhanced resolution of 25km square, has been generated by the reprocessing of the entire ERS mission. This paper presents the main results of the validation work of such new dataset using in situ measurements provided by the Prediction and Research Moored Array in the Tropical Atlantic (PIRATA). The comparison indicates that, on average, the scatterometer data agree well with buoys measurements, however the scatterometer tends to overestimates lower winds and underestimates higher winds.

  8. Circulation and hydrological characteristics of the North Aegean Sea: a contribution from real-time buoy measurements

    Directory of Open Access Journals (Sweden)

    K. NITTIS

    2002-06-01

    Full Text Available In the framework of the POSEIDON Project, a network of open sea oceanographic buoys equipped with meteorological and oceanographic sensors has been operational in the Aegean Sea since 1998. The analysis of upper-ocean physical data (currents at 3m, temperature and salinity at 3-40m depths collected during the last 2 years from the stations of the North Aegean basin indicates a strong temporal variability of flow field and hydrological characteristics in both synoptic and seasonal time scales. The northern part of the basin is mainly influenced by the Black Sea Water outflow and the mesoscale variability of the corresponding thermohaline fronts, while the southern stations are influenced by the general circulation of the Aegean Sea with strong modulations caused by the seasonally varying atmospheric forcing.

  9. Uncertainty quantification and inference of Manning's friction coefficients using DART buoy data during the Tōhoku tsunami

    KAUST Repository

    Sraj, Ihab; Mandli, Kyle T.; Knio, Omar; Dawson, Clint N.; Hoteit, Ibrahim

    2014-01-01

    Tsunami computational models are employed to explore multiple flooding scenarios and to predict water elevations. However, accurate estimation of water elevations requires accurate estimation of many model parameters including the Manning's n friction parameterization. Our objective is to develop an efficient approach for the uncertainty quantification and inference of the Manning's n coefficient which we characterize here by three different parameters set to be constant in the on-shore, near-shore and deep-water regions as defined using iso-baths. We use Polynomial Chaos (PC) to build an inexpensive surrogate for the G. eoC. law model and employ Bayesian inference to estimate and quantify uncertainties related to relevant parameters using the DART buoy data collected during the Tōhoku tsunami. The surrogate model significantly reduces the computational burden of the Markov Chain Monte-Carlo (MCMC) sampling of the Bayesian inference. The PC surrogate is also used to perform a sensitivity analysis.

  10. Uncertainty quantification and inference of Manning's friction coefficients using DART buoy data during the Tōhoku tsunami

    KAUST Repository

    Sraj, Ihab

    2014-11-01

    Tsunami computational models are employed to explore multiple flooding scenarios and to predict water elevations. However, accurate estimation of water elevations requires accurate estimation of many model parameters including the Manning\\'s n friction parameterization. Our objective is to develop an efficient approach for the uncertainty quantification and inference of the Manning\\'s n coefficient which we characterize here by three different parameters set to be constant in the on-shore, near-shore and deep-water regions as defined using iso-baths. We use Polynomial Chaos (PC) to build an inexpensive surrogate for the G. eoC. law model and employ Bayesian inference to estimate and quantify uncertainties related to relevant parameters using the DART buoy data collected during the Tōhoku tsunami. The surrogate model significantly reduces the computational burden of the Markov Chain Monte-Carlo (MCMC) sampling of the Bayesian inference. The PC surrogate is also used to perform a sensitivity analysis.

  11. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Sea Surface Temperature and Conductivity Recorder (SBE37); NWHI, FFS; Long: -166.27183, Lat: 23.85678 (WGS84); Sensor Depth: 1.00m; Data Range: 20011017-20020120.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  12. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Sea Surface Temperature and Conductivity Recorder (SBE37); NWHI, FFS; Long: -166.27183, Lat: 23.85678 (WGS84); Sensor Depth: 1.00m; Data Range: 20040622-20040808.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  13. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Supplemental Sea Surface Temperature Recorder (SBE39); NWHI, FFS; Long: -166.27183, Lat: 23.85678 (WGS84); Sensor Depth: 1.00m; Data Range: 20050411-20060904.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  14. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Sea Surface Temperature and Conductivity Recorder (SBE37); NWHI, FFS; Long: -166.27183, Lat: 23.85678 (WGS84); Sensor Depth: 1.00m; Data Range: 20050413-20060904.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  15. 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...

  16. Temperature, current meter, and other data from moored buoy as part of the GARP (Global Atmospheric Research Program) Atlantic Tropical Experiment (GATE) project, 15 July 1974 - 16 September 1974 (NODC Accession 7601674)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Temperature, current meter, and other data were collected using moored buoy from July 15, 1974 to September 16, 1974. Data were submitted by University of Rhode...

  17. CRED Coral Reef Early Warning System (CREWS) Standard Buoy, Environmental Data Logger (EDL); AMSM, ROS; Long: -168.16025, Lat: -14.55134 (WGS84); Sensor Depth: 0.00m; Data Range: 20060307-20080312.

    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.,...

  18. CRED Coral Reef Early Warning System (CREWS) Standard Buoy, Environmental Data Logger (EDL); AMSM, ROS; Long: -168.16018, Lat: -14.55140 (WGS84); Sensor Depth: 0.00m; Data Range: 20020224-20040208.

    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.,...

  19. CRED Coral Reef Early Warning System (CREWS) Standard Buoy, Environmental Data Logger (EDL); AMSM, ROS; Long: -168.16018, Lat: -14.55140 (WGS84); Sensor Depth: 0.00m; Data Range: 20040208-20060307.

    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.,...

  20. CTD, current meter, meteorological buoy, and bottle data from the Gulf of Mexico from the ALPHA HELIX and other platforms in support of LATEX A from 18 March 1993 to 23 September 1993 (NODC Accession 9400149)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CTD, current meter, meteorological buoy, and bottle data were collected from the Gulf of Mexico from the ALPHA HELIX and other platforms. Data were collected by...

  1. 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.,...

  2. 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.,...

  3. 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.,...

  4. Physical and fluorescence data collected using moored buoy casts as part of the IDOE/POLYMODE (International Decade of Ocean Exploration / combination of USSR POLYGON project and US MODE) from 07 December 1975 to 03 January 1977 (NODC Accession 7700569)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical and fluorescence data were collected using moored buoy from May 4, 1975 to December 18, 1975. Data were submitted by Massachusetts Institute of Technology;...

  5. 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...

  6. 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....

  7. CRED Sea Surface Temperature (SST) Buoy; NWHI, LAY; Long: -171.74252, Lat: 25.77290 (WGS84); Sensor Depth: 0.33m; Data Range: 20030724-20040923.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Data from Coral Reef Ecosystem Division (CRED), NOAA Pacific Islands Fisheries Science Center (PIFSC) Sea Surface Temperature (SST) Buoys provide a time series of...

  8. CRED Sea Surface Temperature (SST) Buoy; AMSM, TUT; Long: -170.56228, Lat: -14.28372 (WGS84); Sensor Depth: 0.33m; Data Range: 20060218-20080223.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Data from Coral Reef Ecosystem Division (CRED), NOAA Pacific Islands Fisheries Science Center (PIFSC) Sea Surface Temperature (SST) Buoys provide a time series of...

  9. Upper ocean currents and sea surface temperatures (SST) from Satellite-tracked drifting buoys (drifters) as part of the Global Drifter Program for Hawaii region 1980/02/01 - 2009/03/31 (NODC Accession 0063296)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Satellite-tracked drifting buoys ("drifters") collect measurements of upper ocean currents and sea surface temperatures (SST) around the world as part of the Global...

  10. 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.,...

  11. 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.,...

  12. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Supplemental Sea Surface Temperature Recorder (SBE39); PRIA, PAL; Long: -162.10289, Lat: 05.88463 (WGS84); Sensor Depth: 1.00m; Data Range: 20080401-20090515.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  13. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Sea Surface Temperature and Conductivity Recorder (SBE37); NWHI, MID; Long: -177.34402, Lat: 28.21788 (WGS84); Sensor Depth: 1.00m; Data Range: 20011022-20020325.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  14. 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.,...

  15. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Sea Surface Temperature and Conductivity Recorder (SBE37); NWHI, FFS; Long: -166.27183, Lat: 23.85678 (WGS84); Sensor Depth: 1.00m; Data Range: 20040919-20050411.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  16. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Sea Surface Temperature and Conductivity Recorder (SBE37); PRIA, PAL; Long: -162.10280, Lat: 05.88468 (WGS84); Sensor Depth: 1.00m; Data Range: 20060326-20080401.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  17. 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.,...

  18. 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.,...

  19. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Sea Surface Temperature and Conductivity Recorder (SBE37); NWHI, MID; Long: -177.34402, Lat: 28.21788 (WGS84); Sensor Depth: 1.00m; Data Range: 20020724-20020920.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  20. 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.,...

  1. 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.,...

  2. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Sea Surface Temperature and Conductivity Recorder (SBE37); NWHI, FFS; Long: -166.27183, Lat: 23.85678 (WGS84); Sensor Depth: 1.00m; Data Range: 20020423-20020910.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  3. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Supplemental Sea Surface Temperature Recorder (SBE39); PRIA, PAL; Long: -162.10280, Lat: 05.88468 (WGS84); Sensor Depth: 1.00m; Data Range: 20060326-20071017.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  4. 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: 20030826-20040809.

    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.,...

  5. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Sea Surface Temperature and Conductivity Recorder (SBE37); NWHI, FFS; Long: -166.27183, Lat: 23.85678 (WGS84); Sensor Depth: 1.00m; Data Range: 20020911-20030305.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  6. Bacteriology, wind wave spectra, and benthic organism data from moored buoy casts and other instruments in the Gulf of Mexico during the Brine Disposal project, 1978-02-01 to 1979-05-03 (NODC Accession 7900247)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Bacteriology, wind wave spectra, and benthic organism data were collected using moored buoy casts and other instruments in the Gulf of Mexico from February 1, 1978...

  7. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Sea Surface Temperature and Conductivity Recorder (SBE37); PRIA, PAL; Long: -162.10289, Lat: 05.88463 (WGS84); Sensor Depth: 1.00m; Data Range: 20080401-20100410.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  8. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Sea Surface Temperature and Conductivity Recorder (SBE37); PRIA, PAL; Long: -162.10282, Lat: 05.88467 (WGS84); Sensor Depth: 1.00m; Data Range: 20040330-20060325.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  9. Bacteriology data from moored buoy casts and other instruments in the Delaware Bay and North Atlantic Ocean during the Ocean Continental Shelf (OCS-Mid Atlantic Ocean) project, 1976-11-05 to 1977-08-16 (NODC Accession 7800207)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Bacteriology data were collected using moored buoy casts and other instruments in the Delaware Bay and North Atlantic Ocean from November 5, 1976 to August 16, 1977....

  10. CRED Sea Surface Temperature (SST) Buoy; AMSM, TUT; Long: -170.76310, Lat: -14.36667 (WGS84); Sensor Depth: 0.19m; Data Range: 20070616-20080115.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Data from Coral Reef Ecosystem Division (CRED), NOAA Pacific Islands Fisheries Science Center (PIFSC) Sea Surface Temperature (SST) Buoys provide a time series of...

  11. CRED Sea Surface Temperature (SST) Buoy; NWHI, KUR; Long: -178.34327, Lat: 28.41817 (WGS84); Sensor Depth: 0.19m; Data Range: 20080929-20090916.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Data from Coral Reef Ecosystem Division (CRED), NOAA Pacific Islands Fisheries Science Center (PIFSC) Sea Surface Temperature (SST) Buoys provide a time series of...

  12. CRED Sea Surface Temperature (SST) Buoy; AMSM, TUT; Long: -170.83339, Lat: -14.32838 (WGS84); Sensor Depth: 0.19m; Data Range: 20050806-20060221.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Data from Coral Reef Ecosystem Division (CRED), NOAA Pacific Islands Fisheries Science Center (PIFSC) Sea Surface Temperature (SST) Buoys provide a time series of...

  13. 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...

  14. 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...

  15. 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...

  16. 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....

  17. 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...

  18. 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...

  19. CRED Coral Reef Early Warning System (CREWS) Standard Buoy, Environmental Data Logger (EDL); NWHI, PHR; Long: -175.81590, Lat: 27.85408 (WGS84); Sensor Depth: 0.00m; Data Range: 20011026-20020917.

    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.,...

  20. CRED Coral Reef Early Warning System (CREWS) Standard Buoy, Environmental Data Logger (EDL); NWHI, KUR; Long: -178.34455, Lat: 28.41863 (WGS84); Sensor Depth: 0.00m; Data Range: 20020922-20030806.

    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.,...

  1. Temperature profile data from moored buoy in the Gulf of Alaska as part of the Trans-Alaska Pipeline System project, from 1989-06-10 to 1989-10-25 (NODC Accession 9900193)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Temperature profile data were collected using moored buoy in the Gulf of Alaska from June 10, 1989 to October 25, 1989. Data were submitted by Dr. Chirk Chu from the...

  2. CRED Coral Reef Early Warning System (CREWS) Enhanced Buoy, Supplemental Sea Surface Temperature Recorder (SBE39); PRIA, PAL; Long: -162.10282, Lat: 05.88467 (WGS84); Sensor Depth: 1.00m; Data Range: 20040330-20060325.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CREWS Enhanced (CREWS-ENH) buoys are equipped to measure sea surface water temperature and conductivity (Sea-Bird Model SBE37-SM, Sea-Bird Electronics, Inc.,...

  3. CRED Sea Surface Temperature (SST) Buoy; NWHI, KUR; Long: -178.34322, Lat: 28.41813 (WGS84); Sensor Depth: 0.19m; Data Range: 20090916-20100918.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Data from Coral Reef Ecosystem Division (CRED), NOAA Pacific Islands Fisheries Science Center (PIFSC) Sea Surface Temperature (SST) Buoys provide a time series of...

  4. CRED Coral Reef Early Warning System (CREWS) Standard Buoy, Sea Surface Temperature and Conductivity Recorder (SBE37); NWHI, MAR; Long: -170.63382, Lat: 25.44652 (WGS84); Sensor Depth: 1.00m; Data Range: 20021001-20030321.

    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.,...

  5. CRED Sea Surface Temperature (SST) Buoy; NWHI, LAY; Long: -171.74250, Lat: 25.77240 (WGS84); Sensor Depth: 0.33m; Data Range: 20040924-20060910.

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Data from Coral Reef Ecosystem Division (CRED), NOAA Pacific Islands Fisheries Science Center (PIFSC) Sea Surface Temperature (SST) Buoys provide a time series of...

  6. 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.

  7. 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...

  8. 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.

  9. Optimization and Annual Average Power Predictions of a Backward Bent Duct Buoy Oscillating Water Column Device Using the Wells Turbine.

    Energy Technology Data Exchange (ETDEWEB)

    Smith, Christopher S. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Bull, Diana L [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Willits, Steven M. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States); Fontaine, Arnold A. [Sandia National Lab. (SNL-NM), Albuquerque, NM (United States)

    2014-08-01

    This Technical Report presents work completed by The Applied Research Laboratory at The Pennsylvania State University, in conjunction with Sandia National Labs, on the optimization of the power conversion chain (PCC) design to maximize the Average Annual Electric Power (AAEP) output of an Oscillating Water Column (OWC) device. The design consists of two independent stages. First, the design of a floating OWC, a Backward Bent Duct Buoy (BBDB), and second the design of the PCC. The pneumatic power output of the BBDB in random waves is optimized through the use of a hydrodynamically coupled, linear, frequency-domain, performance model that links the oscillating structure to internal air-pressure fluctuations. The PCC optimization is centered on the selection and sizing of a Wells Turbine and electric power generation equipment. The optimization of the PCC involves the following variables: the type of Wells Turbine (fixed or variable pitched, with and without guide vanes), the radius of the turbine, the optimal vent pressure, the sizing of the power electronics, and number of turbines. Also included in this Technical Report are further details on how rotor thrust and torque are estimated, along with further details on the type of variable frequency drive selected.

  10. Multilayer perceptron neural network-based approach for modeling phycocyanin pigment concentrations: case study from lower Charles River buoy, USA.

    Science.gov (United States)

    Heddam, Salim

    2016-09-01

    This paper proposes multilayer perceptron neural network (MLPNN) to predict phycocyanin (PC) pigment using water quality variables as predictor. In the proposed model, four water quality variables that are water temperature, dissolved oxygen, pH, and specific conductance were selected as the inputs for the MLPNN model, and the PC as the output. To demonstrate the capability and the usefulness of the MLPNN model, a total of 15,849 data measured at 15-min (15 min) intervals of time are used for the development of the model. The data are collected at the lower Charles River buoy, and available from the US Environmental Protection Agency (USEPA). For comparison purposes, a multiple linear regression (MLR) model that was frequently used for predicting water quality variables in previous studies is also built. The performances of the models are evaluated using a set of widely used statistical indices. The performance of the MLPNN and MLR models is compared with the measured data. The obtained results show that (i) the all proposed MLPNN models are more accurate than the MLR models and (ii) the results obtained are very promising and encouraging for the development of phycocyanin-predictive models.

  11. Response of Land-Sea Interface in Xiamen Bay to Extreme Weather Events Observed with the Ecological Dynamic Buoy Array, a Multifunctional Sensors System

    Science.gov (United States)

    Wu, J.; Hong, H.; Pan, W.; Zhang, C.

    2016-12-01

    Recent climate observations suggest that global climate change may result in an increase of extreme weather events (such as tropical cyclones, intense precipitation i.e. heavy rains) in frequency and/or intensity in certain world regions. Subtropical coastal regions are often densely populated areas experiencing rapid development and widespread changes to the aquatic environment. The biogeochemical and ecological responses of coastal systems to extreme weather events are of increasing concern. Enhanced river nutrients input following rain storms has been linked to the ecological responses at land-sea interface. These land-sea interactions can be studied using multifunctional sensors systems. In our study, the Ecological Dynamic Buoy Array, a monitoring system with multiple sensors, was deployed in Xiamen Bay for near real time measurements of different parameters. The Ecological Dynamic Buoy Array is a deep water net cage which functions in long-term synchronous observation of dynamic ecological characteristics with the support of an aerograph, water-watch, LOBO (Land/Ocean Biogeochemical Observatory), ADCP, CTD chain system, YSI vertical profiler, flow cytometer, sea surface camera, and "communication box". The study showed that rain storms during multiple typhoons resulted in greater fluctuations of salinity, N concentration, and other water environmental conditions, which might have been connected with algal blooms (so-called red tide) in Xiamen Bay.

  12. 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.

  13. Lateral Buoys - USACE IENC

    Data.gov (United States)

    Department of Homeland Security — These inland electronic navigation charts (IENCs) were developed from available data used in maintenance of navigation channels. Users of these IENCs should be aware...

  14. Beyond Kickboards & Pull Buoys.

    Science.gov (United States)

    Armstrong, Charles W.; Imwold, Charles H.

    1983-01-01

    Swimming teachers must analyze their students' strokes for errors and provide constructive feedback. To do this requires mastering complex movement analysis techniques and feedback methods. An aquatics instructional methods course at Florida State University made use of strategies to develop these competencies. (PP)

  15. 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.

  16. 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

  17. Temperature profile and pressure data collected using moored buoy from the Atlantic Ocean with support from the IDOE/POLYMODE (International Decade of Ocean Exploration / combination of USSR POLYGON project and US MODE) from 04 May to 18 December 1975 (NODC Accession 7601247)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Temperature profile and pressure data were collected using moored buoy from the Atlantic Ocean from May 4, 1975 to December 18, 1975. Data were submitted by...

  18. Surface meteorological data collected from Offshore Buoy by Center for Coastal Margin Observation and Prediction (CMOP) and assembled by Northwest Association of Networked Ocean Observation Systems (NANOOS) in the Columbia River Estuary and North East Pacific Ocean from 2004-05-17 to 2017-08-01 (NCEI Accession 0162183)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0162183 contains biological, chemical, meteorological and physical data collected at Offshore Buoy, a fixed station in the Columbia River estuary -...

  19. Physical, current, and other data from CTD casts, current meters, and drifting buoys from the NOAA ship Mt Mitchell in the Persian Gulf as part of the Straits of Hormuz project from 26 February 1992 to 22 June 1992 (NODC Accession 9600082)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical, current, and other data were collected from CTD casts, current meters, and drifting buoys from the NOAA ship Mt Mitchell in the Persian Gulf and other...

  20. Temperature and pressure data collected using drifting buoy and profiling floats from the North Atlantic Ocean in part of the IDOE/POLYMODE (International Decade of Ocean Exploration / combination of USSR POLYGON project and US MODE) from 1975-01-10 to 1981-05-31 (NODC Accession 8700121)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Temperature and pressure data were collected using drifting buoy and profiling floats from CHAIN, GILLISS, OCEANUS, and ENDEAVOR from the North Atlantic Ocean from...

  1. Partial pressure (or fugacity) of carbon dioxide, salinity and other variables collected from Surface underway observations using Barometric pressure sensor, Carbon dioxide (CO2) gas analyzer and other instruments from the Drifting Buoy in the Indian Ocean, South Atlantic Ocean and others from 2001-11-20 to 2007-05-08 (NODC Accession 0117495)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NODC Accession 0117495 includes Surface underway, biological, chemical, meteorological and physical data collected from Drifting Buoy in the Indian Ocean, South...

  2. Temperature and upwelling / downwelling irradiance data from drifting buoy in the Southern Oceans as part of the Joint Global Ocean Flux Study/Southern Ocean (JGOFS/Southern Ocean) project, from 1994-12-25 to 1998-06-28 (NODC Accession 9900183)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Temperature and upwelling / downwelling irradiance data were collected using drifting buoy in the Southern Oceans from December 25, 1994 to June 28, 1998. Data were...

  3. Dissolved inorganic carbon, total alkalinity, pH, dissolved oxygen, and nutrients collected from profile, discrete sampling, and time series observations using CTD, Niskin bottle, and other instruments from R/V Gulf Challenger near a buoy off the coast of New Hampshire, U.S. in the Gulf of Maine from 2011-01-11 to 2015-11-18 (NCEI Accession 0142327)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This archival package contains discrete measurements of dissolved inorganic carbon, total alkalinity, pH, dissolved oxygen, and nutrients collected at the buoy off...

  4. Dissolved inorganic carbon, total alkalinity, pH, and other variables collected from time series and profile observations using CTD, Niskin bottle,and other instruments near CenGOOS buoy off the coast of Mississippi in the Gulf of Mexico from 2012-10-15 to 2014-04-22 (NCEI Accession 0131199)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This archival package contains time series profile (discrete bottle) data that were collected at the GenGOOS buoy off the coast of Mississippi. The CenGOOS 3-m...

  5. Sea Surface Temperature data collected from buoys deployed world-wide in support of the U.S. Coast Guard Office of Search and Rescue (CG-SAR) program from 2004-03-24 to 2016-09-30 (NCEI Accession (0098145) (NCEI Accession 0098145)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This NCEI accessions contains Sea Surface Temperature (SST) data collected from buoys deployed in support of the U.S. Coast Guard Office of Search and Rescue...

  6. Fully nonlinear time-domain simulation of a backward bent duct buoy floating wave energy converter using an acceleration potential method

    Directory of Open Access Journals (Sweden)

    Kyoung-Rok Lee

    2013-12-01

    Full Text Available A floating Oscillating Water Column (OWC wave energy converter, a Backward Bent Duct Buoy (BBDB, was simulated using a state-of-the-art, two-dimensional, fully-nonlinear Numerical Wave Tank (NWT technique. The hydrodynamic performance of the floating OWC device was evaluated in the time domain. The acceleration potential method, with a full-updated kernel matrix calculation associated with a mode decomposition scheme, was implemented to obtain accurate estimates of the hydrodynamic force and displacement of a freely floating BBDB. The developed NWT was based on the potential theory and the boundary element method with constant panels on the boundaries. The mixed Eulerian-Lagrangian (MEL approach was employed to capture the nonlinear free surfaces inside the chamber that interacted with a pneumatic pressure, induced by the time-varying airflow velocity at the air duct. A special viscous damping was applied to the chamber free surface to represent the viscous energy loss due to the BBDB's shape and motions. The viscous damping coefficient was properly selected using a comparison of the experimental data. The calculated surface elevation, inside and outside the chamber, with a tuned viscous damping correlated reasonably well with the experimental data for various incident wave conditions. The conservation of the total wave energy in the computational domain was confirmed over the entire range of wave frequencies.

  7. Numerical simulation and experimental analysis for a Risers Uphold Sub-Surface Buoy (BSR); Simulacao numerica e ensaio experimental da Boia de Sub-superficie de Suporte de Risers - BSSR

    Energy Technology Data Exchange (ETDEWEB)

    Araujo, Jairo B. de; Almeida, Jose Carlos L. de [PETROBRAS, Rio de Janeiro, RJ (Brazil); Rangel, Marcos; Fernandes, Antonio C.; Santos, Melquisedec F. dos; Sales Junior, Joel Sena [Universidade Federal do Rio de Janeiro (UFRJ), RJ (Brazil). Coordenacao dos Programas de Pos-graduacao de Engenharia (COPPE)

    2004-07-01

    This paper presents results, numeric and experimental, due to installation operation of a Risers Uphold Sub-Surface Buoy, (BSR). This kind of installation developed by PETROBRAS is unique in the world. The work of BSR installation was based on a numeric pre analysis to verify the system and determine the main parameters to be experimentally verified. The second phase of the work was the experimental analysis in a deep water ocean basin. s. The work describes the BSR and their main accessories, the experimental environment and the model constructed in aluminum in a 1:12 scale and the main results. (author)

  8. Direct Drive Wave Energy Buoy

    Energy Technology Data Exchange (ETDEWEB)

    Rhinefrank, Kenneth E. [Columbia Power Technologies, Inc.; Lenee-Bluhm, Pukha [Columbia Power Technologies, Inc.; Prudell, Joseph H. [Columbia Power Technologies, Inc.; Schacher, Alphonse A. [Columbia Power Technologies, Inc.; Hammagren, Erik J. [Columbia Power Technologies, Inc.; Zhang, Zhe [Columbia Power Technologies, Inc.

    2013-07-29

    The most prudent path to a full-scale design, build and deployment of a wave energy conversion (WEC) system involves establishment of validated numerical models using physical experiments in a methodical scaling program. This Project provides essential additional rounds of wave tank testing at 1:33 scale and ocean/bay testing at a 1:7 scale, necessary to validate numerical modeling that is essential to a utility-scale WEC design and associated certification.

  9. Direct Drive Wave Energy Buoy

    Energy Technology Data Exchange (ETDEWEB)

    Rhinefrank, Kenneth [Columbia Power Technologies, Inc., Charlottesville, VA (United States); Lamb, Bradford [Columbia Power Technologies, Inc., Charlottesville, VA (United States); Prudell, Joseph [Columbia Power Technologies, Inc., Charlottesville, VA (United States); Hammagren, Erik [Columbia Power Technologies, Inc., Charlottesville, VA (United States); Lenee-Bluhm, Pukha [Columbia Power Technologies, Inc., Charlottesville, VA (United States)

    2016-08-22

    This Project aims to satisfy objectives of the DOE’s Water Power Program by completing a system detailed design (SDD) and other important activities in the first phase of a utility-scale grid-connected ocean wave energy demonstration. In early 2012, Columbia Power (CPwr) had determined that further cost and performance optimization was necessary in order to commercialize its StingRAY wave energy converter (WEC). CPwr’s progress toward commercialization, and the requisite technology development path, were focused on transitioning toward a commercial-scale demonstration. This path required significant investment to be successful, and the justification for this investment required improved annual energy production (AEP) and lower capital costs. Engineering solutions were developed to address these technical and cost challenges, incorporated into a proposal to the US Department of Energy (DOE), and then adapted to form the technical content and statement of project objectives of the resulting Project (DE-EE0005930). Through Project cost-sharing and technical collaboration between DOE and CPwr, and technical collaboration with Oregon State University (OSU), National Renewable Energy Lab (NREL) and other Project partners, we have demonstrated experimentally that these conceptual improvements have merit and made significant progress towards a certified WEC system design at a selected and contracted deployment site at the Wave Energy Test Site (WETS) at the Marine Corps Base in Oahu, HI (MCBH).

  10. Special Purpose Buoys - USACE IENC

    Data.gov (United States)

    Department of Homeland Security — These inland electronic Navigational charts (IENCs) were developed from available data used in maintenance of Navigation channels. Users of these IENCs should be...

  11. Levels of Cd, Cu, Pb and V in marine sediments in the vicinity of the Single Buoy Moorings (SBM3) at Mina Al Fahal in the Sultanate of Oman.

    Science.gov (United States)

    Al-Husaini, Issa; Abdul-Wahab, Sabah; Ahamad, Rahmalan; Chan, Keziah

    2014-06-15

    Recently in the Sultanate of Oman, there has been a rapid surge of coastal developments. These developments cause metal contamination, which may affect the habitats and communities at and near the coastal region. As a result, a study was conducted to assess the level of metal contamination and its impact on the marine sediments in the vicinity of the Single Buoy Moorings 3 (SBM3) at Mina Al Fahal in the Sultanate of Oman. Marine subtidal sediment samples were collected from six different stations of the SBM3 for the period ranging from June 2009 to April 2010. These samples were then analyzed for their level and distribution of the heavy metals of cadmium (Cd), copper (Cu), lead (Pb) and vanadium (V). Overall, low concentrations of all four heavy metals were measured from the marine sediments, indicating that the marine at SBM3 is of good quality. Copyright © 2014 Elsevier Ltd. All rights reserved.

  12. Levels of Cd, Cu, Pb and V in marine sediments in the vicinity of the Single Buoy Moorings (SBM3) at Mina Al Fahal in the Sultanate of Oman

    International Nuclear Information System (INIS)

    Al-Husaini, Issa; Abdul-Wahab, Sabah; Ahamad, Rahmalan; Chan, Keziah

    2014-01-01

    Highlights: • Assessed metal contamination in the SBM3 marine sediments of Mina Al Fahal, Oman. • Examined heavy metal concentration levels of Cd, Cu, Pb and V. • Mean concentration in the sediments, from highest to lowest, is V > Cu > Pb > Cd. • Highest concentration of V due to waste discharges from nearby heavy tanker traffic. • ICP-OES found low concentrations of all four heavy metals; SMB3 region in good quality. - Abstract: Recently in the Sultanate of Oman, there has been a rapid surge of coastal developments. These developments cause metal contamination, which may affect the habitats and communities at and near the coastal region. As a result, a study was conducted to assess the level of metal contamination and its impact on the marine sediments in the vicinity of the Single Buoy Moorings 3 (SBM3) at Mina Al Fahal in the Sultanate of Oman. Marine subtidal sediment samples were collected from six different stations of the SBM3 for the period ranging from June 2009 to April 2010. These samples were then analyzed for their level and distribution of the heavy metals of cadmium (Cd), copper (Cu), lead (Pb) and vanadium (V). Overall, low concentrations of all four heavy metals were measured from the marine sediments, indicating that the marine at SBM3 is of good quality

  13. Steel catenary risers supported by subsurface buoy

    OpenAIRE

    Adebayo, Addayo

    2011-01-01

    Master's thesis in Offshore technology Oil and gas exploration and production activities in deep and ultra deep waters in hostile environments necessitates the need to develop innovative riser systems capable of ensuring transfer of fluids from the seabed to a floating vessel and vice versa, with little or no issues with respect to influences of environmental loads and vessel motions. Over the years, studies have shown that the conventional flexible riser and steel catenary riser config...

  14. Subsurface Buoy Forms for Array Applications

    Science.gov (United States)

    1990-10-01

    CIRCUMSCRIBED CIRCLES Figure 19. Derivation of a cycloid outline with relationship to familiar shape outlines. 35 An AutoLisp routine has been created to...An AutoLisp Program Routine Created to Construct the Torospherical Outlines Shown on the Previous Page Is Reproduced Below. (defun c.Iorodraw () input...F - 19.0 Case 7 f - 200 Case 8 f - 2 -0 A-26 An AutoLisp Routine Created to Enable Autocad to Construct the Dished and Flanged End Bell Outlines

  15. Member states buoy up beleagured EMBL

    CERN Multimedia

    Balter, M

    1999-01-01

    EMBL's governing council, made up of delegates from the lab's 16 member countries, agreed in principle to meet the costs of a multimillion-dollar pay claim, the result of a recent ruling by the ILO in Geneva (1 page).

  16. Stationary Tether Device for Buoy Apparatus and System for Using

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — A rigid, neutrally buoyant hydrodynamicaly-faired tether and associated fastening hardware that loosely holds a bathymetric float at a predetermined distance from a...

  17. Moored surface buoy observations of the diurnal warm layer

    KAUST Repository

    Prytherch, J.

    2013-09-01

    An extensive data set is used to examine the dynamics of diurnal warming in the upper ocean. The data set comprises more than 4700 days of measurements at five sites in the tropics and subtropics, obtained from surface moorings equipped to make comprehensive meteorological, incoming solar and infrared radiation, and high-resolution subsurface temperature (and, in some cases, velocity) measurements. The observations, which include surface warmings of up to 3.4°C, are compared with a selection of existing models of the diurnal warm layer (DWL). A simple one-layer physical model is shown to give a reasonable estimate of both the magnitude of diurnal surface warming (model-observation correlation 0.88) and the structure and temporal evolution of the DWL. Novel observations of velocity shear obtained during 346 days at one site, incorporating high-resolution (1 m) upper ocean (5-15 m) acoustic Doppler current profile measurements, are also shown to be in reasonable agreement with estimates from the physical model (daily maximum shear model-observation correlation 0.77). Physics-based improvements to the one-layer model (incorporation of rotation and freshwater terms) are discussed, though they do not provide significant improvements against the observations reported here. The simplicity and limitations of the physical model are used to discuss DWL dynamics. The physical model is shown to give better model performance under the range of forcing conditions experienced across the five sites than the more empirical models. ©2013. American Geophysical Union. All Rights Reserved.

  18. Small Flux Buoy for Characterizing Marine Surface Layers

    Science.gov (United States)

    2013-06-01

    platform for air-sea interaction study since early 1960s (Fisher and Spiess 1963). It was designed to be a stable platform for mounting various types of...COARE algorithm. J. of Climate, 16, 571–591. Fisher F. H., and F. N. Spiess , 1963: FLIP-floating instrument platform. J. Acoust. Soc. Am., 35, 1633

  19. Model Predictive Control of Buoy Type Wave Energy Converter

    DEFF Research Database (Denmark)

    Soltani, Mohsen; Sichani, Mahdi Teimouri; Mirzaei, Mahmood

    2014-01-01

    by forcing this condition. In the paper the theoretical framework for this principal is shown. The optimal controller requires information of the sea state for infinite horizon which is not applicable. Model Predictive Controllers (MPC) can have finite horizon which crosses out this requirement....... This approach is then taken into account and an MPC controller is designed for a model WEC and implemented on a numerical example. Further, the power outtake of this controller is compared to the optimal controller as an indicator of the performance of the designed controller....

  20. Model Predictive Control of Buoy Type Wave Energy Converter

    DEFF Research Database (Denmark)

    Soltani, Mohsen N.; Sichani, Mahdi T.; Mirzaei, Mahmood

    2014-01-01

    by forcing this condition. In the paper the theoretical framework for this principal is shown. The optimal controller requires information of the sea state for infinite horizon which is not applicable. Model Predictive Controllers (MPC) can have finite horizon which crosses out this requirement....... This approach is then taken into account and an MPC controller is designed for a model wave energy converter and implemented on a numerical example. Further, the power outtake of this controller is compared to the optimal controller as an indicator of the performance of the designed controller....

  1. The wave buoy analogy - estimating high-frequency wave excitations

    DEFF Research Database (Denmark)

    Nielsen, Ulrik Dam

    2008-01-01

    of sea state parameters — influence of filtering. Ocean Engineering 2007;34:1797–810.], where time series of ship responses were generated from a known wave spectrum for the purpose of the inverse process — the estimation of the underlying wave excitations. Similar response generations and vice versa...

  2. 47 CFR 90.248 - Wildlife and ocean buoy tracking.

    Science.gov (United States)

    2010-10-01

    ...) Classes of emission are limited to N0N, A1A, A2A, A2B, F1B, J2B, F2A, F2B, and/or F8E. (d) The authorized... temperature range of −30° to +50° centigrade at normal supply voltage and for a variation in the primary supply voltage from 85% to 115% of the rated supply voltage at a temperature of +20 °C. For battery...

  3. Direct Drive Wave Energy Buoy – 33rd scale experiment

    Energy Technology Data Exchange (ETDEWEB)

    Rhinefrank, Kenneth E. [Columbia Power Technologies, Inc.; Lenee-Bluhm, Pukha [Columbia Power Technologies, Inc.; Prudell, Joseph H. [Columbia Power Technologies, Inc.; Schacher, Alphonse A.; Hammagren, Erik J.; Zhang, Zhe [Columbia Power Technologies, Inc.

    2013-07-29

    Columbia Power Technologies (ColPwr) and Oregon State University (OSU) jointly conducted a series of tests in the Tsunami Wave Basin (TWB) at the O.H. Hinsdale Wave Research Laboratory (HWRL). These tests were run between November 2010 and February 2011. Models at 33rd scale representing Columbia Power’s Manta series Wave Energy Converter (WEC) were moored in configurations of one, three and five WEC arrays, with both regular waves and irregular seas generated. The primary research interest of ColPwr is the characterization of WEC response. The WEC response will be investigated with respect to power performance, range of motion and generator torque/speed statistics. The experimental results will be used to validate a numerical model. The primary research interests of OSU include an investigation into the effects of the WEC arrays on the near- and far-field wave propagation. This report focuses on the characterization of the response of a single WEC in isolation. To facilitate understanding of the commercial scale WEC, results will be presented as full scale equivalents.

  4. Coherent Wave Measurement Buoy Arrays to Support Wave Energy Extraction

    Science.gov (United States)

    Spada, F.; Chang, G.; Jones, C.; Janssen, T. T.; Barney, P.; Roberts, J.

    2016-02-01

    Wave energy is the most abundant form of hydrokinetic energy in the United States and wave energy converters (WECs) are being developed to extract the maximum possible power from the prevailing wave climate. However, maximum wave energy capture is currently limited by the narrow banded frequency response of WECs as well as extended protective shutdown requirements during periods of large waves. These limitations must be overcome in order to maximize energy extraction, thus significantly decreasing the cost of wave energy and making it a viable energy source. Techno-economic studies of several WEC devices have shown significant potential to improve wave energy capture efficiency through operational control strategies that incorporate real-time information about local surface wave motions. Integral Consulting Inc., with ARPA-E support, is partnering with Sandia National Laboratories and Spoondrift LLC to develop a coherent array of wave-measuring devices to relay and enable the prediction of wave-resolved surface dynamics at a WEC location ahead of real time. This capability will provide necessary information to optimize power production of WECs through control strategies, thereby allowing for a single WEC design to perform more effectively across a wide range of wave environments. The information, data, or work presented herein was funded in part by the Advanced Research Projects Agency-Energy (ARPA-E), U.S. Department of Energy, under Award Number DE-AR0000514.

  5. Natural gas to buoy Trinidad and Tobago petroleum sector

    International Nuclear Information System (INIS)

    Anon.

    1993-01-01

    Trinidad and Tobago's petroleum sector remains at a crossroads. While heavily reliant on oil and gas for domestic energy consumption and hard currency export earnings, the small Caribbean island nation faces some tough choices in reviving its hydrocarbon sector in the 1990s. Exploration and production of crude oil have stagnated in recent years, and domestic refinery utilization remains low at 36%. However, substantial natural gas reserves in Trinidad and Tobago offer the promise of a burgeoning natural gas based economy with an eye to liquefied natural gas and gas based petrochemical exports. Any solutions will involve considerable outlays by the government as well as a sizable infusion of capital by foreign companies. Therein lie some of the hard choices. The article describes the roles of oil and gas, foreign investment prospects, refining status, refining problems, gas sector foreign investment, and outlook for the rest of the 1990's

  6. UpTempO Buoys for Understanding and Predictions

    Science.gov (United States)

    2016-02-28

    Steele Applied Physics Laboratory, University of Washington, 1013 NE 40th St, Seattle, WA 98105 phone: (206) 543-6586 fax: (206) 616-3142 email...ORGANIZATION NAME(S) AND ADDRESS(ES) University of Washington – Applied Physics Laboratory 8. PERFORMING ORGANIZATION REPORT NUMBER 4333...correlations depend on geography and environmental conditions. We will provide our data to users such as modelers and large-scale gridded SST data

  7. Moored surface buoy observations of the diurnal warm layer

    KAUST Repository

    Prytherch, J.; Farrar, J. T.; Weller, R. A.

    2013-01-01

    An extensive data set is used to examine the dynamics of diurnal warming in the upper ocean. The data set comprises more than 4700 days of measurements at five sites in the tropics and subtropics, obtained from surface moorings equipped to make comprehensive meteorological, incoming solar and infrared radiation, and high-resolution subsurface temperature (and, in some cases, velocity) measurements. The observations, which include surface warmings of up to 3.4°C, are compared with a selection of existing models of the diurnal warm layer (DWL). A simple one-layer physical model is shown to give a reasonable estimate of both the magnitude of diurnal surface warming (model-observation correlation 0.88) and the structure and temporal evolution of the DWL. Novel observations of velocity shear obtained during 346 days at one site, incorporating high-resolution (1 m) upper ocean (5-15 m) acoustic Doppler current profile measurements, are also shown to be in reasonable agreement with estimates from the physical model (daily maximum shear model-observation correlation 0.77). Physics-based improvements to the one-layer model (incorporation of rotation and freshwater terms) are discussed, though they do not provide significant improvements against the observations reported here. The simplicity and limitations of the physical model are used to discuss DWL dynamics. The physical model is shown to give better model performance under the range of forcing conditions experienced across the five sites than the more empirical models. ©2013. American Geophysical Union. All Rights Reserved.

  8. Directional waverider buoy in Indian waters - Experiences of NIO

    Digital Repository Service at National Institute of Oceanography (India)

    AshokKumar, K.; Diwan, S.G.

    , receiving/ recording unit, NIO's experience in mooring, deployment and retrieval operations etc. The paper also highlights various operational problems during the data collection programme. Suggestions and conclusions pertaining to operation, maintenance etc...

  9. 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,...

  10. 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,...

  11. 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,...

  12. 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,...

  13. Assessment of wave modeling results with buoy and altimeter deep water waves for a summer monsoon

    Digital Repository Service at National Institute of Oceanography (India)

    Sudheesh, K.; Vethamony, P.; Babu, M.T.; Jayakumar, S.

    32G99G97G112G97G98G105G108G105G116G121G46G32G87G97G118G101G32G104G101G105G103G104G116G115G44G32G105G110G32G103G101G110G101G114G97G108G44G32G97G114G101G32G104G105G103G104G101G114 G105G110G32G116G104G101G32G65G114G97G98G105G97G110G32G83G101G97G32G116G... 32G97G108G108G32G108G111G99G97G116G105G111G110G115G32G40G70G105G103G46G32G54G41G46 G67G111G109G112G97G114G105G115G111G110G32G111G102G32G83G87G72G115G32G102G114G111G109G32G109G111G100G101G108G32G97G110G100G32G84G79G80G69G88G32G102G111G114G32G116G104G...

  14. Development of a virtual wave buoy system for the Port of Cape Town, South Africa

    CSIR Research Space (South Africa)

    Rossouw, Marius

    2005-07-01

    Full Text Available The Port of Cape Town is located in Table Bay on the south-west coast of South Africa. Since the port experiences advese weather conditions, especially during the winter period, the monitoring of marine weather and wave conditions forms an integral...

  15. 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,...

  16. TAO/TRITON, RAMA, and PIRATA Buoys, Daily, 1980-present, Dynamic Height

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has daily Dynamic Height data (a measure of the elevation of the sea level, calculated by integrating the specific volume anomaly of the sea water...

  17. 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/...

  18. 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...

  19. 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...

  20. 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,...

  1. 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,...

  2. Development of an Indian Ocean moored buoy array for climate studies

    Digital Repository Service at National Institute of Oceanography (India)

    McPhaden, M.J.; Kuroda, Y.; Murty, V.S.N.

    of measurements to societal benefit. Chief among the principles is the need to distributed data openly in a timely manner. There is a preference for communication of data in real time to make it available at climate analysis and prediction centers.... This is essential to demonstrate the value of IndOOS and capture the potential societal benefits. 1. Introduction The Indian Ocean is unique among the three tropical ocean basins in that it is blocked at 25°N by the Asian land mass. Seasonal heating over...

  3. Comparison of wind data from QuikSCAT and buoys in the Indian Ocean

    Digital Repository Service at National Institute of Oceanography (India)

    Satheesan, K.; Sarkar, A; Parekh, A; RameshKumar, M.R.; Kuroda, Y.

    QuikSCAT derived winds over NIO matches better with in-situ compared to those derived over the EIO. Earlier studies by Thompson et al., (1983) and Keller et al., (1985) have reported a dependence of backscatter cross section in L and X...-120. SENGUPTA D, GOSWAMI B N AND SENAN R 2001, Coherent intraseasonal oscillations of ocean and atmosphere during the Asian summer monsoon, Geophys. Res. Lett., 28, 4127 – 4130. THOMPSON, T. W., D. E. WEISSMAN AND F. I. GONZALEZ, 1983: L band radar...

  4. Study of the directional spectrum of ocean waves using array, buoy and radar measurements

    Digital Repository Service at National Institute of Oceanography (India)

    Fernandes, A.A.

    Phase/time/path difference (PTPD) methods of Esteva [1977] and Borgman [1974] with two modifications, viz., true phase and coherence proposed in this thesis, have for the first time been successfully used for computing wave direction as a function...

  5. 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,...

  6. 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,...

  7. 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,...

  8. 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,...

  9. TAO/TRITON, RAMA, and PIRATA Buoys, 5-Day, 1980-present, Dynamic Height

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has 5-day Dynamic Height data (a measure of the elevation of the sea level, calculated by integrating the specific volume anomaly of the sea water...

  10. 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,...

  11. 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,...

  12. TAO/TRITON, RAMA, and PIRATA Buoys, Monthly, 1980-present, Dynamic Height

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This dataset has monthly Dynamic Height data (a measure of the elevation of the sea level, calculated by integrating the specific volume anomaly of the sea water...

  13. Parametric estimation in the wave buoy analogy - an elaborated approach based on energy considerations

    DEFF Research Database (Denmark)

    Montazeri, Najmeh; Nielsen, Ulrik Dam

    2014-01-01

    the ship’s wave-induced responses based on different statistical inferences including parametric and non-parametric approaches. This paper considers a concept to improve the estimate obtained by the parametric method for sea state estimation. The idea is illustrated by an analysis made on full-scale...

  14. 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,...

  15. 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,...

  16. 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,...

  17. 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,...

  18. 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,...

  19. 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,...

  20. 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,...

  1. 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,...

  2. 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,...

  3. 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,...

  4. 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,...

  5. 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,...

  6. 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,...

  7. 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,...

  8. 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,...

  9. 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,...

  10. 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,...

  11. 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,...

  12. 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,...

  13. 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,...

  14. General Analysis of Directional Ocean Wave Data from Heave Pitch Roll Buoys

    Directory of Open Access Journals (Sweden)

    Donald M. Wiberg

    1984-04-01

    Full Text Available There are many practical applications of lattice form recursive linear least square algorithms (called lattices for short in signal processing, communications, and control systems. The goal of this tutorial is to help practicing engineers to decide if lattices are appropriate for their particular projects.

  15. Sub-inertial variability in the Cretan Sea from the M3A buoy

    Directory of Open Access Journals (Sweden)

    V. Cardin

    2003-01-01

    Full Text Available One year of continuous records of temperature, salinity data at various depths, and currents obtained from by an upward looking acoustic Doppler current profiler (ADCP moored at a site in the Cretan Sea were analyzed. Temperature and salinity data revealed the influence of a multi-scale circulation pattern prevailing in this area. This pattern consists of mesoscale cyclonic and anticyclonic vortices moving together as a dipole, and inducing downwelling and upwelling in the water column. The dipole movements, which control the circulation in the area, have been evidenced from horizontal current variability in the upper 250 m. The basin-scale circulation also shows a prominent seasonal variability. The Empirical Orthogonal Function analysis applied to either zonal or meridional components of the currents, confirmed the prevalence of a depth-independent mode over the baroclinic-like one for the whole period of measurements and for both current components. Nevertheless, the depth-dependent structure indicated the out-of-phase behaviour of the upper 250 m layer with respect to the deeper one. The first mode of the temperature EOF analysis, which accounts for most of the variance, represents the seasonal heating of the water column being principally associated with the surface mixed layer at the level of the seasonal thermocline. Key words. Oceanography: physical (currents, eddies and mesoscale processes, general circulation

  16. Sub-inertial variability in the Cretan Sea from the M3A buoy

    Directory of Open Access Journals (Sweden)

    V. Cardin

    Full Text Available One year of continuous records of temperature, salinity data at various depths, and currents obtained from by an upward looking acoustic Doppler current profiler (ADCP moored at a site in the Cretan Sea were analyzed. Temperature and salinity data revealed the influence of a multi-scale circulation pattern prevailing in this area. This pattern consists of mesoscale cyclonic and anticyclonic vortices moving together as a dipole, and inducing downwelling and upwelling in the water column. The dipole movements, which control the circulation in the area, have been evidenced from horizontal current variability in the upper 250 m. The basin-scale circulation also shows a prominent seasonal variability. The Empirical Orthogonal Function analysis applied to either zonal or meridional components of the currents, confirmed the prevalence of a depth-independent mode over the baroclinic-like one for the whole period of measurements and for both current components. Nevertheless, the depth-dependent structure indicated the out-of-phase behaviour of the upper 250 m layer with respect to the deeper one. The first mode of the temperature EOF analysis, which accounts for most of the variance, represents the seasonal heating of the water column being principally associated with the surface mixed layer at the level of the seasonal thermocline.

    Key words. Oceanography: physical (currents, eddies and mesoscale processes, general circulation

  17. 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...

  18. 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...

  19. 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,...

  20. Buoyed on All Sides: A Network of Support Guides Teacher Leaders in High-Needs Schools

    Science.gov (United States)

    Suescun, Marisa; Romer, Toby; MacDonald, Elisa

    2012-01-01

    The idea of teacher leadership holds an immense and intuitive appeal. Most educators agree that teacher leaders are essential to fostering a climate of authentic and robust leadership and learning across a school. Teacher leadership is peer leading at its most authentic, demanding, and empowering. While the value of teacher leadership may be…

  1. 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,...

  2. Wireless Sensor Buoys for Perimeter Security of Military Vessels and Seabases

    Science.gov (United States)

    2015-12-01

    two decades have demonstrated that attacks of this type are indeed possible, and that current security measures may not be sufficient to mitigate such...attack by small surface crafts. The past two decades have demonstrated that attacks of this type are indeed possible, and that current security measures ...xiii LIST OF ACRONYMS AND ABBREVIATIONS ADAPT AP ARA AT/FP COTS DARPA DOD DODINST EF-21 GPS GUI IEEE ISR LCS LiDAR LTE MAC MAGTF

  3. 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,...

  4. Calculating buoy response for a wave energy converter—A comparison of two computational methods and experimental results

    Directory of Open Access Journals (Sweden)

    Linnea Sjökvist

    2017-05-01

    Full Text Available When designing a wave power plant, reliable and fast simulation tools are required. Computational fluid dynamics (CFD software provides high accuracy but with a very high computational cost, and in operational, moderate sea states, linear potential flow theories may be sufficient to model the hydrodynamics. In this paper, a model is built in COMSOL Multiphysics to solve for the hydrodynamic parameters of a point-absorbing wave energy device. The results are compared with a linear model where the hydrodynamical parameters are computed using WAMIT, and to experimental results from the Lysekil research site. The agreement with experimental data is good for both numerical models.

  5. Directional wave and temperature data from seven buoys at Harvest, CA, 1995-2002 (NODC Accession 0000766)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  6. Feasibility study of a semi floating spar buoy wind turbine anchored with a spherical joint to the sea floor

    DEFF Research Database (Denmark)

    Sanz Martinez, Maria; Natarajan, Anand; Henriksen, Lars Christian

    2013-01-01

    of the newly designed floater and mooring assembly are analyzed from static and dynamic simulations of the wind turbine. The design loads on the universal joint on the sea floor are tuned with the needs for a ballast chamber. Using load simulations in the HAWC2 software, ultimate and equivalent fatigue loads...

  7. CRED APEX Drifting Buoy Argos_ID 25321 Data in the Northwestern Hawaiian Islands, 200110-200404 (NODC Accession 0049436)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED APEX drifter Argos_ID 25321 was deployed in the region of NW Hawaiian Islands to assess ocean currents and sea surface temperature. APEX drifter data files...

  8. CRED SVP Drifting Buoy Argos_ID 35647 Data Tutuila, American Samoa, 200202-200307 (NODC Accession 0067474)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 35647 was deployed in the region of American Samoa to assess ocean currents and sea surface temperature. SVP drifter data files contain...

  9. CRED SVP Drifting Buoy Argos_ID 30291 Data in the NW Hawaiian Islands, 20020920-20050105 (NODC Accession 0049436)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 30291 was deployed in the region of NW Hawaiian Islands to assess ocean currents and sea surface temperature. SVP drifter data files...

  10. CRED SVP Drifting Buoy Argos_ID 35651 Data Rose Atoll, American Samoa, 200202-200411 (NODC Accession 0067474)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 35651 was deployed in the region of American Samoa to assess ocean currents and sea surface temperature. SVP drifter data files contain...

  11. CRED SVP Drifting Buoy Argos_ID 35649 Data Tutuila, American Samoa, 200202-200308 (NODC Accession 0067474)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 35649 was deployed in the region of American Samoa to assess ocean currents and sea surface temperature. SVP drifter data files contain...

  12. CRED APEX Drifting Buoy Argos_ID 24963 Data in the NW Hawaiian Islands, 200109-200506 (NODC Accession 0049436)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED APEX drifter Argos_ID 24963 was deployed in the region of NW Hawaiian Islands to assess ocean currents and sea surface temperature. APEX drifter data files...

  13. 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 — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  14. Directional wave and temperature data from six buoys at Diablo Canyon, CA, 1997-2002 (NODC Accession 0000761)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  15. NODC Standard Format Ocean Wind Time Series from Buoys (F101) Data (1975-1985) (NODC Accession 0014194)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This file type contains time series measurements of wind and other surface meteorological parameters taken at fixed locations. The instrument arrays may be deployed...

  16. Modification of wind-wave model WAM and its verification against buoy data in the Indian Ocean

    Digital Repository Service at National Institute of Oceanography (India)

    Polnikov, V.G.; Samiksha, V.; Rashmi, R.; Pogarskii, F.; Sudheesh, K.; Vethamony, P.

    0 . 5 . 1 6 0 5 / 7 6 3 8 9 - . / 9 : 6 3 - 3 5 / 0 4 ; 8 9 < 0 1 0 2 3 4 0 . 5 3 = 3 0 5 ; 4 > ? . @ / 3 4 3 0 5 4 A 9 0 5 / 0 3 5 . 2 9 3 5 B C D E F G C H I J K L M I N O P F G Q R O I J S I T O Q R P F I T U I B C V O W Q G F F I X Y I N Z [ R... \\ \\ Q R I ] ^ I J \\ _ R O P C E ` I B a R \\ [ \\ _ O F D Q C b _ R \\ Q C Z W c \\ b Z E c _ F C E Q O W \\ Q _ F D D O c _ F H \\ W \\ Q \\ O W c R Q Z d e \\ c _ Q I O E [ C E \\ C b _ R \\ P \\ _ R C [ Q _ C V O Z V \\ _ R \\ f \\ W b C W P O E c \\ C b E Z P \\ W F...

  17. Wave hindcast studies using SWAN nested in WAVEWATCH III - comparison with measured nearshore buoy data off Karwar, eastern Arabian Sea

    Digital Repository Service at National Institute of Oceanography (India)

    Amrutha, M.M.; SanilKumar, V.; Sandhya, K.G.; Nair, T.M.B; Rathod, J.L.

    Waves in the nearshore waters (~15 m water-depth) of eastern Arabian Sea were simulated using SWAN nested in WAVEWATCH III (WW3) for the year 2014. The sensitivity of the numerical wave model WW3 towards different source term (ST) packages...

  18. 77 FR 65816 - Safety Zone; Large Cruise Ships; Lower Mississippi River, Southwest Pass Sea Buoy to Mile Marker...

    Science.gov (United States)

    2012-10-31

    ....regulations.gov , type the docket number in the ``SEARCH'' box and click ``SEARCH.'' Click on Open Docket... reduction of navigable space, and to protect lives, the Coast Guard is establishing a moving safety zone... system (AIS) or a virtual AIS aid to navigation be incorporated into the proposed regulation. Although...

  19. CRED SVP Drifting Buoy Argos_ID 28638 Data, Saipan in the Marianas Archipelago, 200308-200503 (NODC Accession 0067473)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 28638 was deployed in the region of Marianas Archipelago to assess ocean currents and sea surface temperature. SVP drifter data files...

  20. Continuous bottom temperature measurements in strategic areas of the Florida Reef Tract at Looe Buoy, 1988 - 2004 (NODC Accession 0002616)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The purpose of this project is to document bottom seawater temperature in strategic areas of the Florida Reef Tract on a continuing basis and make that information...

  1. Buoyed by geophysics : geophysics, just-in-time procurement help save millions on Ekwan pipeline buoyancy control

    Energy Technology Data Exchange (ETDEWEB)

    Roche, P.

    2005-09-01

    Large-diameter natural gas pipelines buried in wet muskeg have the potential to rise to the surface due to buoyancy. Until recently, the most reliable method to prevent this was to attach specially manufactured bolt-on concrete weights at closely spaced intervals. However, these weights significantly increase capital budgets by millions of dollars because each weight weighs 2,540 kg and costs $1,000. A less costly alternative for buoyancy control in shallow muskeg is for the contractor to simply dig a deeper ditch. Another option is to hold down the pipeline by polyester straps attached to screw anchors. The challenge of applying these less costly options is that heavy equipment cannot be brought to the site to determine ground conditions until after all procurement, assessment and design is completed. Engineers must therefore select a buoyancy control measure based only on air photos and possibly a few drill holes. However, air photos do not indicate the depth of muskeg. Although some muskeg areas may turn out to be thick enough to avoid buoyancy control altogether, once construction is underway, it is too late to opt for cheaper alternatives. EnCana Corporation's 24-inch Ekwan pipeline was recently constructed through a remote area of British Columbia to connect the Greater Sierra natural gas discovery to a tie-in point on Nova Gas Transmission's northwest mainline. Air photos indicated that half of the route was through muskeg. AMEC E and C Services Inc. was responsible for the engineering and management of the project. The company used a combination of geophysical techniques to learn about the ground conditions. Toboggan mounted portable equipment was hauled by snowmobiles along trails made earlier by the survey crews. Ground penetrating radar assessed the muskeg thickness. Fixed frequency electromagnetic surveys also enhanced the results of the ground penetrating radar. The number of bolt-on weights was reduced from 9,000 to 3,700, a savings of $3 million. AMEC also opted for the use of screw anchors and deep ditches, both equally effective buoyancy control measures. Once pipeline construction was underway, test pits were dug to further investigate ground conditions. AMEC negotiated to buy only a portion of the required bolt-on weights when construction began, and ordered more as needed during construction. Buoyancy control on the Ekwan pipeline project was reduced from $9 million to less than $2 million. 4 figs.

  2. Verification of model wave heights with long-term moored buoy data: Application to wave field over the Indian Ocean

    Digital Repository Service at National Institute of Oceanography (India)

    Samiksha, S.V.; Polnikov, V.G.; Vethamony, P.; Rashmi, R.; Pogarskii, F.; Sudheesh, K.

    . Res. 106(C6), 11659-11676 Babanin, A.V., 2011. Breaking and Dissipation of Ocean Surface Waves. Book, Cambridge University Press, 480p Banner, M. L., Gemmrich, J. R., and Farmer, D. M., 2002. Multiscale measurements of ocean wave breaking...

  3. Continuous bottom temperature measurements in strategic areas of the Florida Reef Tract at Looe Buoy, 1988 - 2004 (NODC Accession 0002616)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This ongoing project began in 1988. A total of 38 subsurface recording thermographs have been deployed in the Florida Keys National Marine Sanctuary (FKNMS)and at...

  4. CRED APEX Drifting Buoy Argos_ID 26070 Data in the NW Hawaiian Islands, the Pacific Ocean

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED APEX drifter Argos_ID 26070 was deployed in the region of NW Hawaiian Islands to assess ocean currents and sea surface temperature. APEX drifter data files...

  5. CRED SVP Drifting Buoy Argos_ID 29099 Data, Rota in the Marianas Archipelago, 200309-200402 (NODC Accession 0067473)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 29099 was deployed in the region of Marianas Archipelago to assess ocean currents and sea surface temperature. SVP drifter data files...

  6. Estimating the Underwater Diffuse Attenuation Coefficient with a Low-Cost Instrument: The KdUINO DIY Buoy

    NARCIS (Netherlands)

    Bardaji, R.; Sánchez, A.-M.; Simon, C.; Wernand, M.R.; Piera, J.

    2016-01-01

    A critical parameter to assess the environmental status of water bodies is the transparency of the water, as it is strongly affected by different water quality related components (such as the presence of phytoplankton, organic matter and sediment concentrations). One parameter to assess the water

  7. Application of Soft Computing Tools for Wave Prediction at Specific Locations in the Arabian Sea Using Moored Buoy Observations

    Directory of Open Access Journals (Sweden)

    J. Vimala

    2012-12-01

    Full Text Available The knowledge of design and operational values of significant wave heights is perhaps the single most important input needed in ocean engineering studies. Conventionally such information is obtained using classical statistical analysis and stochastic methods. As the causative variables are innumerable and underlying physics is too complicated, the results obtained from the numerical models may not always be very satisfactory. Soft computing tools like Artificial Neural Network (ANN and Adaptive Network based Fuzzy Inference System (ANFIS may therefore be useful to predict significant wave heights in some situations. The study is aimed at forecasting of significant wave height values in real time over a period of 24hrs at certain locations in Indian seas using the models of ANN and ANFIS. The data for the work were collected by National Institute of Ocean Technology, Chennai. It was found that the predictions of wave heights can be done by both methods with equal efficiency and satisfaction.

  8. Method for deploying and recovering a wave energy converter

    Science.gov (United States)

    Mundon, Timothy R

    2017-05-23

    A system for transporting a buoy and a heave plate. The system includes a buoy and a heave plate. An outer surface of the buoy has a first geometrical shape. A surface of the heave plate has a geometrical shape complementary to the first geometrical shape of the buoy. The complementary shapes of the buoy and the heave plate facilitate coupling of the heave plate to the outer surface of the buoy in a transport mode.

  9. CRED SVP Drifting Buoy Argos_ID 24946 Data, north of Niihau, in the NW Hawaiian Islands, 200110-200209 (NODC Accession 0049436)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 24946 was deployed in the region of NW Hawaiian Islands to assess ocean currents and sea surface temperature. SVP drifter data files...

  10. Physical profile data and meteorological data collected from moored buoys in the Northwest Gulf of Mexico from 20040320 to 20050703 (NODC Accession 0055092)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Minerals Management Service (MMS) awarded a contract to Science Applications International Corporation (SAIC) to conduct a study titled: Survey of Deepwater...

  11. Directional wave and temperature data from three buoys at Santa Monica, CA, Harvest, CA, and Point Dume, CA, 2002-01 to 2003-06 (NODC Accession 0001060)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  12. Directional wave and temperature data from five wave-rider buoys at locations along the California coast, 2003-01 to 2003-12 (NODC Accession 0001306)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  13. Directional wave and temperature data from three buoys at San Nicolas Island, San Pedro and Dana Point, CA, 2002-01 to 2003-06 (NODC Accession 0001064)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  14. Data from a directional waverider buoy off Kailua Bay, Windward Oahu during 2000-08 to 2004-07 (NODC Accession 0001660)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  15. Directional wave and temperature data from thirteen buoys at San Nicolas Island, Dana Point and Oceanside, CA, 1997-2002 (NODC Accession 0000774)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  16. CRED SVP Drifting Buoy Argos_ID 30111 Data, French Frigate Shoals in the Northwestern Hawaiian Islands, 200210-200309 (NODC Accession 0049436)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 30111 was deployed in the region of NW Hawaiian Islands to assess ocean currents and sea surface temperature. SVP drifter data files...

  17. CRED SVP Drifting Buoy Argos_ID 24949 Data, between Maro Reef and Raita Bank in the Northwestern Hawaiian Islands , 200109-200309 (NODC Accession 0049436)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 24949 was deployed in the region of NW Hawaiian Islands to assess ocean currents and sea surface temperature. SVP drifter data files...

  18. Directional wave and temperature data from three buoys at Grays Harbor, WA, Pt. Reyes, CA, and Diablo Canyon, CA, 2002 - 2003 (NODC Accession 0001058)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  19. Current speed and direction, temperature and salinity collected from Moored Buoy in Davis Strait from 1987-09-05 to 1990-09-06 (NCEI Accession 0129882)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Volume, freshwater and heat transport through Davis Strait, the northern boundary of the Labrador Basin, were computed using a mooring array deployed for three...

  20. Directional wave and temperature data from ten buoys at Santa Monica Bay, Point Dume and San Pedro, CA, 1998 - 2002 (NODC Accession 0000767)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  1. Directional wave and temperature data from eight wave-rider buoys at locations along the California coast, 2002-06 to 2003-12 (NODC Accession 0001298)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  2. CRED SVP Drifting Buoy Argos_ID 29105 Data, Gardner Pinnacles in the Northwestern Hawaiian Islands, 200307-200508 (NODC Accession 0049436)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 29105 was deployed in the region of NW Hawaiian Islands to assess ocean currents and sea surface temperature. SVP drifter data files...

  3. Meteorological, biological, and hydrographic data collected from a nearshore moored buoy near Dauphin Island, Alabama from 24 Feb 2003 to 31 Dec 2013 (NODC Accession 0114998)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Abstract: Dauphin Island Sea Lab and the Mobile Bay National Estuary Program have partnered with the the Alabama Department of Conservation, State Land Division,...

  4. Continuous bottom temperature measurements in strategic areas of the Western Sambo Reef, Western Sambo Reef Buoy 16 and Jacquelyn L Grounding Site, 1990 - 2005 (NODC Accession 0014120)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This ongoing project began in 1988. A total of 38 subsurface recording thermographs have been deployed in the Florida Keys National Marine Sanctuary (FKNMS)and at...

  5. Continuous bottom temperature measurements in strategic areas of the Florida Reef Tract at Ball Buoy Reef, 1990 - 1998 (NODC Accession 0002781)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The purpose of this project is to document bottom seawater temperature in strategic areas of the Florida Reef Tract on a continuing basis and make that information...

  6. Continuous bottom temperature measurements in strategic areas of the Florida Reef Tract at Ball Buoy Reef, 1990 - 1998 (NODC Accession 0002781)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This ongoing project began in 1988. A total of 38 subsurface recording thermographs have been deployed in the Florida Keys National Marine Sanctuary (FKNMS)and at...

  7. CRED SVP Drifting Buoy Argos_ID 24955 Data at Bank 8, in the NW Hawaiian Islands, 200110-200504 (NODC Accession 0049436)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 24955 was deployed in the region of NW Hawaiian Islands to assess ocean currents and sea surface temperature. SVP drifter data files...

  8. Physical, biological and optical oceanographic data collected from moored buoys in the Bering Strait from 08/16/2004 to 09/03/2007 (NODC Accession 0045300)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical, current meter, biological, and optical oceanographic data were collected in the Bering Strait from August 16, 2004 to September 3, 2007. These data were...

  9. Meteorological, biological, and hydrographic data collected from a nearshore moored buoy near Bon Secour, Alabama from 02/19/2010 - 12/31/2013 (NODC Accession 0117372)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Abstract: Dauphin Island Sea Lab and the Mobile Bay National Estuary Program have partnered with Weeks Bay National Estuarine Research Reserve, the Alabama...

  10. NODC Standard Product: Texas-Louisiana Shelf Circulation and Transport Processes Study: Current Meter, Meteorological Buoy, XBT/XSV/XCP/CTD/IES (NODC Accession 9700319)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This package contains current direction/velocity, water temperature, air temperature, salinity, and other data which were collected using current meter, CTD casts,...

  11. Oceanographic profile temperature, salinity, and meteorology measurements collected using MRB from moored buoy in the Tropical Indian Ocean from 2003-2008 (NODC Accession 0046088)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA) array July 1993 - September 2008. RAMA is a new observational network...

  12. Directional wave and temperature data from sixteen buoys at Point Loma, Point La Jolla, Torrey Pines Inner and Torrey Pines Outer, CA, 1995 - 2002 (NODC Accession 0000775)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  13. Continuous bottom temperature measurements in strategic areas of the Western Sambo Reef, Western Sambo Reef Buoy 16 and Jacquelyn L Grounding Site, 1990 - 2005 (NODC Accession 0014120)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The purpose of this project is to document bottom seawater temperature in strategic areas of the Florida Reef Tract on a continuing basis and make that information...

  14. CRED SVP Drifting Buoy Argos_ID 24953 Data at Laysan/Pioneer Bank in the NW Hawaiian Islands, 200110-200504 (NODC Accession 0049436)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 24953 was deployed in the region of NW Hawaiian Islands to assess ocean currents and sea surface temperature. SVP drifter data files...

  15. CRED SVP Drifting Buoy Argos_ID 44770 Data, NW Tutuila in the American Samoa, 200402-200503 (NODC Accession 0067474)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 44770 was deployed in the region of American Samoa to assess ocean currents and sea surface temperature. SVP drifter data files contain...

  16. CRED SVP Drifting Buoy Argos_ID 29103 Data, Pathfinder Reef in the Marianas Archipelago, 200309-200406 (NODC Accession 0067473)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — CRED SVP drifter Argos_ID 29103 was deployed in the region of Marianas Archipelago to assess ocean currents and sea surface temperature. SVP drifter data files...

  17. Temperature and conductivity data collected by CTDs on moored buoys in the Sermilik Fjord, Greenland from 2008-07 to 2009-08 (NODC Accession 0123217)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The data included in this dataset were collected in the Sermilik Fjord, located in East Greenland in the Ammassalik district close to the town of Tasiilaq. Data...

  18. Ice-Tethered Profiler observations: Vertical profiles of temperature, salinity, oxygen, and ocean velocity from an Ice-Tethered Profiler buoy system

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This collection contains repeated vertical profiles of ocean temperature and salinity versus pressure, as well as oxygen and velocity for some instruments. Data were...

  19. Sea state estimation from an advancing ship – A comparative study using sea trial data

    DEFF Research Database (Denmark)

    Nielsen, Ulrik Dam; Stredulinsky, David C.

    2012-01-01

    of a traditional wave rider buoy. The paper studies the ‘wave buoy analogy’, and a large set of full-scale motion measurements is considered. It is shown that the wave buoy analogy gives fairly accurate estimates of integrated sea state parameters when compared to corresponding estimates from real wave rider buoys...

  20. WATER TEMPERATURE and Other Data from 19920801 to 19930930 (NODC Accession 9600022)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The drifting buoy data from 28 drifting buoys in this accession was collected as part of Coupled Ocean-Atmosphere Response Experiment (COARE) over a one year period...

  1. Extreme Hurricane-Generated Waves in Gulf of Mexico

    National Research Council Canada - National Science Library

    Alberto, Carlos; Fernandes, Santos

    2005-01-01

    .... Data from seven National Data Buoy Center (NDBC) buoys in the Gulf of Mexico, together with an array of pressure and pressure-velocity sensors deployed on the Florida Panhandle shelf during the Office of Naval Research (ONR...

  2. Validation of multi-channel scanning microwave radiometer onboard OCEANSAT - 1

    Digital Repository Service at National Institute of Oceanography (India)

    Muraleedharan, P.M.; Pankajakshan, T.; Harikrishnan, M.

    IRS-P4 (OCEASAT-1) was the first operational oceanographic satellite that India has launched. An extensive validation campaign was unleashed immediately after its launch in May 1999. Various platforms (Ship, Moored buoy, Drifting buoy, Autonomous...

  3. Validation of sea surface temperature, wind speed and integrated water vapour from MSMR measurements. Project report

    Digital Repository Service at National Institute of Oceanography (India)

    Muraleedharan, P.M.

    IRS-P4 (OCEANSAT-1) is the first operational oceanographic satellite that India has launched. An extensive validation campaign was unleashed immediately after its launch in May 1999. Various platforms (viz., ship, moored buoy, drifting buoy...

  4. 33 CFR 110.140 - Buzzards Bay, Nantucket Sound, and adjacent waters, Mass.

    Science.gov (United States)

    2010-07-01

    ...′ passing 600 yards northerly of Middle Ground Lighted Bell Buoy 25A, to a point bearing 145°, 1.25 miles... through Handkerchief Shoal Buoy 16, to a point bearing 215° from Stone Horse North End Lighted Bell Buoy 9; thence 35° to Stone Horse North End Lighted Bell Buoy 9; thence 70° to a point bearing 207° from Pollock...

  5. 46 CFR 160.050-5 - Sampling, tests, and inspection.

    Science.gov (United States)

    2010-10-01

    ... one from which any sample ring life buoy failed the buoyancy or strength test, the sample shall... ring life buoys with this subpart. The manufacturer shall provide means to secure any test that is not... procedures. Table 160.050-5(e)—Sampling for Buoyancy Tests Lot size Number of life buoys in sample 100 and...

  6. Oceanographic and surface meteorological data collected from MTU1 Buoy by Michigan Technological University and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123646)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123646 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  7. Directional wave and temperature data from five buoys at Oceanside offshore, Point Loma, Point La Jolla, Torrey Pines outer and Torrey Pines inner, CA, 2002-01 to 2003-06 (NODC Accession 0001072)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  8. Directional wave and temperature data from four buoys at Grays Harbor, WA and Point Reyes, Harvest and Diablo Canyon, CA, 2003-01 to 2003-12 (NODC Accession 0001291)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Coastal Data Information Program (CDIP) is an extensive network for monitoring waves along the coastlines of the United States, with a strong emphasis on our...

  9. Oceanographic and surface meteorological data collected from MTU Buoy by Michigan Technological University and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-09-01 (NODC Accession 0123644)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123644 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  10. Temperature and conductivity, and water currents data collected by CTDs and current meters on moored buoys in the Sermilik Fjord, Greenland from 2010-08 to 2011-08 (NODC Accession 0123282)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The data included in this dataset were collected in Sermilik Fjord, located in East Greenland in the Ammassalik district close to the town of Tasiilaq. Data...

  11. Oceanographic and surface meteorological data collected from Holland Buoy by LimnoTech and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123650)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123650 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  12. Time-series current measurements, temperature, and salinity data from CTD, moored buoy, and current meter casts from the Norton Sound Alaska from 14 July 1985 to 22 July 1985 (NODC Accession 0000368)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Time-series current measurements, temperature, and salinity data were collected from fixed platforms at the Bering Sea - Norton Sound from July 14, 1985 to July 22,...

  13. Water Temperature, conductivity, and currents data collected by CTDs and current meters on moored buoys in the Sermilik Fjord, Greenland from 2012-09-18 to 2013-08-20 (NCEI Accession 0127325)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The data included in this dataset were collected in the Sermilik Fjord, located in East Greenland in the Ammassalik district close to the town of Tasiilaq. Data...

  14. Temperature, conductivity, and water currents data collected by CTDs and current meters on moored buoys in the Sermilik Fjord, Greenland from 2011-08-20 to 2012-09-16 (NODC Accession 0126772)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The data included in this dataset were collected in the Sermilik Fjord, located in East Greenland in the Ammassalik district close to the town of Tasiilaq. Data...

  15. Temperature, salinity, velocity including ADCP ice tracking, and bottom pressure collected from moored buoys in Bering Strait from 2011-07-14 to 2013-07-05 (NCEI Accession 0138173)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This is an archive of data from moorings deployed in the US waters of the Bering Strait from summer 2011 to summer 2013 (with mooring servicing in summer 2012). For...

  16. Physical and meteorological data collected by shipboard ADCP and CTD, and moored meteorological buoy data collected in the Chukchi Sea from February 2007 to October 2013 by contractors for Shell, ConocoPhillips and Statoil (NODC Accession 0093399)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — These data are part of a multi-year baseline environmental studies data set collected as part of the permitting process prior to drilling exploration wells. The...

  17. 'I remember oblivion best...'; 'the sea brightens between the twilight of buoys...'; 'the whip which chastises the skin from within...'; 'during the gibberish eclipse everything...'; 'saber-toothed I eat up the tiger...'; 'an eyeless reserved seat on

    Index Scriptorium Estoniae

    Ehin, Andres, 1940-2011

    1997-01-01

    Orig.: "ma mäletan kõige paremini unustust..."; "poihämaruste vahel valgeneb meri..."; "piits, mis nuhtleb nahka seestpoolt..."; "lobavarjutuse ajal kõik..."; "mõõkhambuline mina tiigri ära sööb..."; "silmitu platskaart selles kõrvutus rongis..."; "rookatusel haigutab olematu maavanema..."

  18. 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.

  19. Field tests of acoustic telemetry for a portable coastal observatory

    Science.gov (United States)

    Martini, M.; Butman, B.; Ware, J.; Frye, D.

    2006-01-01

    Long-term field tests of a low-cost acoustic telemetry system were carried out at two sites in Massachusetts Bay. At each site, an acoustic Doppler current profiler mounted on a bottom tripod was fitted with an acoustic modem to transmit data to a surface buoy; electronics mounted on the buoy relayed these data to shore via radio modem. The mooring at one site (24 m water depth) was custom-designed for the telemetry application, with a custom designed small buoy, a flexible electro-mechanical buoy to mooring joint using a molded chain connection to the buoy, quick-release electro-mechanical couplings, and dual hydrophones suspended 7 m above the bottom. The surface buoy at the second site (33 m water depth) was a U.S. Coast Guard (USCG) channel buoy fitted with telemetry electronics and clamps to hold the hydrophones. The telemetry was tested in several configurations for a period of about four years. The custom-designed buoy and mooring provided nearly error-free data transmission through the acoustic link under a variety of oceanographic conditions for 261 days at the 24 m site. The electro mechanical joint, cables and couplings required minimal servicing and were very reliable, lasting 862 days deployed before needing repairs. The acoustic communication results from the USCG buoy were poor, apparently due to the hard cobble bottom, noise from the all-steel buoy, and failure of the hydrophone assembly. Access to the USCG buoy at sea required ideal weather. ??2006 IEEE.

  20. The grand challenge of developing in situ observational oceanography in South Africa

    CSIR Research Space (South Africa)

    Roberts, M

    2010-12-01

    Full Text Available , underwater temperature recorders (UTRs), wave buoys, as well as locally developed in situ measurement sensor and platform prototypes (dial-out UTRs, coastal and deep ocean buoys) have been incorporated into a regional in-situ observational network. A modular...

  1. The Antifouling of ACLW-CAR Based on Ultrasonic Cleaner

    Science.gov (United States)

    Zhang, Guohua; Liu, Shixuan; Qin, Qingliang

    2017-10-01

    Equipped with ACLW-CAR, the buoy provided effective technical platform for on-site rapid monitoring of the chlorophyll and turbidity. Performance index and usage in the ocean buoy of ACLW-CAR was introduced. Ultrasonic cleaning method in seawater was developed for preventing ACLW-CAR from biofouling. Marine chlorophyll and turbidity data can serve for oceanographic research and marine resource exploitation.

  2. 75 FR 32451 - Reedsport OPT Wave Park, LLC; Notice of Application Accepted for Filing, Ready for Environmental...

    Science.gov (United States)

    2010-06-08

    ...Buoy would have a maximum diameter of 36 feet, extend 29.5 feet above the water surface, and have a draft of 115 feet. A power/fiber optic cable would exit the bottom of each PowerBuoy, descending to the seabed in a lazy ``S'' shape with subsurface floats attached to the cable and a clump weight at the...

  3. Department of Energy WindSentinel Loan Program Description

    Energy Technology Data Exchange (ETDEWEB)

    Shaw, William J. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States); Sturges, Mark H. [Pacific Northwest National Lab. (PNNL), Richland, WA (United States)

    2016-12-01

    The U.S. Department of Energy (DOE) currently owns two AXYS WindSentinel buoys that collect a comprehensive set of meteorological and oceanographic data to support resource characterization for wind energy offshore. The two buoys were delivered to DOE’s Pacific Northwest National Laboratory (PNNL) in September, 2014. After acceptance testing and initial performance testing and evaluation at PNNL’s Marine Sciences Laboratory in Sequim, Washington, the buoys have been deployed off the U.S. East Coast. One buoy was deployed approximately 42 km east of Virginia Beach, Virginia from December, 2014 through June, 2016. The second buoy was deployed approximately 5 km off Atlantic City, New Jersey in November, 2015. Data from the buoys are available to the public. Interested parties can create an account and log in to http://offshoreweb.pnnl.gov. In response to a number of inquiries and unsolicited proposals, DOE’s Wind Energy Technologies Office is implementing a program, to be managed by PNNL, to lend the buoys to qualified parties for the purpose of acquiring wind resource characterization data in areas of interest for offshore wind energy development. This document describes the buoys, the scope of the loans, the process of how borrowers will be selected, and the schedule for implementation of this program, including completing current deployments.

  4. 46 CFR 160.050-3 - Materials.

    Science.gov (United States)

    2010-10-01

    ...: SPECIFICATIONS AND APPROVAL LIFESAVING EQUIPMENT Specification for a Buoy, Life Ring, Unicellular Plastic § 160...) Unicellular plastic. The unicellular plastic material used in fabrication of the buoy body shall meet the... degradation. (e) Thread. Each thread must meet the requirements of subpart 164.023 of this chapter. Only one...

  5. The Subduction Experiment. Cruise Report, R/V Oceanus, Cruise Number 240 Leg 3, Subduction 1 Mooring Deployment Cruise, 17 June - 5 July 1991

    Science.gov (United States)

    1993-03-01

    Meteorological instrumentation was mounted to both the discus and toroid buoys. A two I part aluminum tower was attached to both buoy types. The top...Temperature Thermistor -5 to +300C 1/2 time average Thermometrics Measured during first 4K @ 25 0 C half of avg. period. Air Temperature Thermistor -10

  6. 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...

  7. 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...

  8. Untitled

    Indian Academy of Sciences (India)

    to retrieve on board, to memorize and store data and to supply power. Until the. 1960s the moored buoy system was commonly used: a buoy floating at the surface is moored by a rope, wire or chain using an anchor at the bottom. In the case of the sea floor observations the instrument is tethered by another rope near the ...

  9. Satellite winds as a tool for offshore wind resource assessment: The Great Lakes Wind Atlas

    DEFF Research Database (Denmark)

    Doubrawa, Paula; Barthelmie, Rebecca Jane; Pryor, Sara C.

    2015-01-01

    and combine all scenes into one wind speed map. QuikSCAT winds undergo a seasonal correction due to lack of data during the cold season that is based on its ratio relative to buoy time series. All processing steps reduce the biases of the individual maps relative to the buoy observed wind climates. The remote...

  10. Study of hydrodynamic characteristics of a Sharp Eagle wave energy converter

    Science.gov (United States)

    Zhang, Ya-qun; Sheng, Song-wei; You, Ya-ge; Huang, Zhen-xin; Wang, Wen-sheng

    2017-06-01

    According to Newton's Second Law and the microwave theory, mechanical analysis of multiple buoys which form Sharp Eagle wave energy converter (WEC) is carried out. The movements of every buoy in three modes couple each other when they are affected with incident waves. Based on the above, mechanical models of the WEC are established, which are concerned with fluid forces, damping forces, hinge forces, and so on. Hydrodynamic parameters of one buoy are obtained by taking the other moving buoy as boundary conditions. Then, by taking those hydrodynamic parameters into the mechanical models, the optimum external damping and optimal capture width ratio are calculated out. Under the condition of the optimum external damping, a plenty of data are obtained, such as the displacements amplitude of each buoy in three modes (sway, heave, pitch), damping forces, hinge forces, and speed of the hydraulic cylinder. Research results provide theoretical references and basis for Sharp Eagle WECs in the design and manufacture.

  11. Adaption of egg and larvae sampling techniques for lake sturgeon and broadcast spawning fishes in a deep river

    Science.gov (United States)

    Roseman, Edward F.; Kennedy, Gregory W.; Craig, Jaquelyn; Boase, James; Soper, Karen

    2011-01-01

    In this report we describe how we adapted two techniques for sampling lake sturgeon (Acipenser fulvescens) and other fish early life history stages to meet our research needs in the Detroit River, a deep, flowing Great Lakes connecting channel. First, we developed a buoy-less method for sampling fish eggs and spawning activity using egg mats deployed on the river bottom. The buoy-less method allowed us to fish gear in areas frequented by boaters and recreational anglers, thus eliminating surface obstructions that interfered with recreational and boating activities. The buoy-less method also reduced gear loss due to drift when masses of floating aquatic vegetation would accumulate on buoys and lines, increasing the drag on the gear and pulling it downstream. Second, we adapted a D-frame drift net system formerly employed in shallow streams to assess larval lake sturgeon dispersal for use in the deeper (>8 m) Detroit River using an anchor and buoy system.

  12. Time series current meter data from buoys in the North Atlantic as part of the Deep Circulation in the Gulf of Maine Field Program from platforms GYRE and MARY LOUISE between July 25th, 1985 and August 2nd, 1987 (NODC Accession 0053940)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — A two-year field study to investigate the deep flow between the major basins in the Gulf of Maine. This deep flow of warm-salty Slope water is an important driving...

  13. Meteorological, physical and time series data collected from station (48114) King Island Buoy by Alaska Ocean Observing System (AOOS) and assembled by Alaska Ocean Observing System (AOOS) in the Bering Sea from 2015-07-23 to 2015-10-21 (NCEI Accession 0163742)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0163742 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  14. Partial pressure of carbon dioxide, pH, oxygen and other variables collected from time series observations using SAMI-CO2, SAMI-pH, and other instruments from Buoy NH-10 off the coast of Newport, Oregon, United States, at the near bottom depth of ~80 meters from 2011-08-16 to 2015-08-25 (NCEI Accession 0145162)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — This archival package contains time series measurements of near bottom partial pressure of carbon dioxide, pH, dissolved oxygen that are measured from SAMI-CO2, and...

  15. Oceanographic and surface meteorological data collected from 45171, Granite Island Buoy, by Northern Michigan University and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2015-07-09 to 2017-08-31 (NCEI Accession 0130588)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0130588 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  16. Oceanographic and surface meteorological data collected from RECON Alpena, Thunder Bay Buoy, by Great Lakes Environmental Research Laboratory and assembled by Great Lakes Observing System (GLOS) in the Great Lakes and Thunder Bay National Marine Sanctuary region from 2016-05-19 to 2017-08-31 (NCEI Accession 0137891)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0137891 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  17. Historic and ongoing buoy wave measurements, time series, spectral analysis, and other parameters (sea surface temperature, air temperature and pressure, wind speed and direction), worldwide, mostly US coastal, from November 1975 through present, from the Scripps Institution of Oceanography (SIO) Coastal Data Information Program (CDIP)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The data contain raw and processed values concerning wave size and direction, energy spectral data (both original and processed), and, where available, sea surface...

  18. Oceanographic and surface meteorological data collected from University of Michigan Marine Hydrodynamics Laboratories Bio Buoy by University of Michigan and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123645)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123645 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  19. Oceanographic and surface meteorological data collected from University of Michigan Marine Hydrodynamics Laboratories Bio Buoy by University of Michigan and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NCEI Accession 0123660)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123660 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  20. Dissolved inorganic carbon, pH, temperature, salinity and other variables collected from time series and surface observations using Moored Autonomous Dissolved Inorganic Carbon (MADIC) System, Sunburst SAMI2 pH sensor, and other instruments from Kewalo Buoy near the coast of Honolulu, Hawaii from 2013-10-31 to 2014-06-15 (NCEI Accession 0132048)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — To expand the number of tools available for autonomous carbonate system observations, we have developed a robust surface ocean dissolved inorganic carbon (DIC)...

  1. Oceanographic and surface meteorological data collected from Dunkirk Buoy, Lake Erie, by State University of New York College of Environmental Science and Forestry and assembled by Great Lakes Observing System (GLOS) in the Great Lakes region from 2014-07-01 to 2017-08-31 (NODC Accession 0123655)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — NCEI Accession 0123655 contains oceanographic and surface meteorological data in netCDF formatted files, which follow the Climate and Forecast metadata convention...

  2. Densimetry in compressed fluids by combining hydrostatic weighing and magnetic levitation

    International Nuclear Information System (INIS)

    Masui, R.; Haynes, W.M.; Chang, R.F.; Davis, H.A.; Sengers, J.M.H.L.

    1984-01-01

    A magnetic suspension densimeter is described that has been built for measuring the density of compressed liquids at pressures up to 15 MPa in the temperature range 20 0 --200 0 C with an uncertainty of 0.1%. The densimeter combines the principle of magnetic levitation of a buoy with that of liquid density determination by hydrostatic weighing. To accomplish this, the support coil is suspended from an electronic balance, and the balance readings are recorded (1) with the buoy at rest, and (2) with the buoy in magnetic suspension. Details are given of the construction of the cell, coil, buoy, and thermostat. The procedure is described by which cell and buoy are aligned so that the suspended buoy does not touch the cell wall. Test data on the densities of seven different liquids were obtained at room temperature. They agree with reliable literature values to within 0.1%. In a separate experiment, the bulk thermal expansion coefficient of the buoy material was determined. This experiment and its results are also given here

  3. Physical and meteorological delayed-mode full-resolution data from the Tropical Atmosphere Ocean (TAO) array in the Equatorial Pacific

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Tropical Atmosphere Ocean (TAO) array of moored buoys spans the tropical Pacific. Moorings within the array measure surface meteorological and upper-ocean...

  4. (WRFDA) for WRF non-hydrostatic mesoscale model

    Indian Academy of Sciences (India)

    Sujata Pattanayak

    2018-05-22

    May 22, 2018 ... Keywords. WRF-NMM; WRFDA; single observation test; eigenvalues; eigenvector; correlation; tropical .... The per- turbation variables here are defined as deviations ..... Synop, Sound, Metar, Pilot, Buoy, Ships, Airep,. Geoamv ...

  5. GODAE, SFCOBS - Surface Temperature Observations, 1998-present

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — GODAE, SFCOBS - Surface Temperature Observations: Ship, fixed/drifting buoy, and CMAN in-situ surface temperature. Global Telecommunication System (GTS) Data. The...

  6. Bottom Slamming on Heaving Point Absorber Wave Energy Devices

    DEFF Research Database (Denmark)

    De Backer, Griet; Vantorre, Marc; Frigaard, Peter

    2010-01-01

    shapes are considered: a hemisphere and two conical shapes with deadrise angles of 30 and 45, with a waterline diameter of 5 m. The simulations indicate that the risk of rising out of the water is largely dependent on the buoy draft and sea state. Although associated with power losses, emergence......Oscillating point absorber buoys may rise out of the water and be subjected to bottom slamming upon re-entering the water. Numerical simulations are performed to estimate the power absorption, the impact velocities and the corresponding slamming forces for various slamming constraints. Three buoy...... occurrence probabilities can be significantly reduced by adapting the control parameters. The magnitude of the slamming load is severely influenced by the buoy shape. The ratio between the peak impact load on the hemisphere and that on the 45 cone is approximately 2, whereas the power absorption is only 4...

  7. Oceanographic profile temperature and salinity measurements collected using MRB in the Atlantic from 1985 to 1994 (NODC Accession 0000700)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Between 1985 and 1994, the Polar Science Center at the University of Washington deployed 24 ARGOS data buoys in ice floes on the Arctic Ocean, from which six...

  8. A Concept for Differential Absorption Lidar and Radar Remote Sensing of the Earth's Atmosphere and Ocean from NRHO Orbit

    Science.gov (United States)

    Hu, Y.; Marshak, A.; Omar, A.; Lin, B.; Baize, R.

    2018-02-01

    We propose a concept that will put microwave and laser transmitters on the Deep Space Gateway platform for measurements of the Earth's atmosphere and ocean. Receivers will be placed on the ground, buoys, Argo floats, and cube satellites.

  9. 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...

  10. Storm-Driven Mixing and Potential Impact on the Arctic Ocean

    National Research Council Canada - National Science Library

    Yang, Jiayan

    2004-01-01

    Observations of the ocean, atmosphere, and ice made by Ice-Ocean Environmental Buoys indicate that mixing events reaching the depth of the halocline have occurred in various regions in the Arctic Ocean...

  11. Numerical simulation and observations of very severe cyclone ...

    Indian Academy of Sciences (India)

    1Indian National Centre for Ocean Information Services, Pragathi Nagar, Hyderabad 500 090, India. 2Centre .... moored and wave rider buoys are represented by pink and blue respectively. ..... Further, slight shift in the peak frequency of the.

  12. Optical and physical data collected by drifters during June 2000 - March 2001 in support of the Global Ocean Ecosystem Dynamics program (NODC Accession 0000581)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Upwelling and downwelling irradiance data were collected from surface drifter buoys off the California and Oregon coast from 04 June 2000 to 24 March 2001 (non...

  13. International Comprehensive Ocean-Atmosphere Data Set (ICOADS)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Surface marine observational records from ships, buoys, and other platform types are processed and binned creating monthly global and regional grids of the...

  14. DEVELOPING AND IMPLEMENTING AN ESTUARINE WATER QUALITY MONITORING, ASSESSMENT AND OUTREACH PROGRAM/THE MYSOUND PROJECT

    Science.gov (United States)

    EPA has developed a technology transfer handbook for the EMPACT MYSound Project. The handbook highlights information and monitoring technologies developed from the EMPACT Long Island Sound Marine Monitoring (MYSound) Project. As part of the MYSound effort, telemetering data-buoys...

  15. 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...

  16. Environmental assessment of the south Texas outer continental shelf : biological investigations from 01 January 1961 to 01 December 1975 (NODC Accession 7600741)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Biological and chemical data were collected using net, buoy, and bottle casts from the GUS III and LONGHORN in the Gulf of Mexico from 01 January 1961 to 01 December...

  17. Cloud amount/frequency, NITRATE and other data from VOLNA, AKADEMIK VERNADSKIY and other platforms from 1976-05-20 to 1977-10-02 (NODC Accession 7900258)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Current speed/direction, depth and other data were collected using meteorological sensors, secchi disk, buoy, and bottle casts casts from multiple ships from...

  18. WATER TEMPERATURE and Other Data from FIXED PLATFORM From World-Wide Distribution from 19860101 to 19880630 (NODC Accession 8800250)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The accession contains drifting buoy data archived by Marine Environmental Data Service (MEDS), Canada. The data were collected between January 1986 and June 1988....

  19. Global Near Real-Time Temperature and Salinity Profile Data from the GTSPP project from 23 January 2001 to 30 March 2001 (NODC Accession 0000443)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical, current, meteorological, and other data were collected from XBT casts, buoys, and other instruments from a World-Wide distribution. Data were collected...

  20. 18 CFR 1304.205 - Other water-use facilities.

    Science.gov (United States)

    2010-04-01

    ... concrete is allowable; asphalt is not permitted. (b) Tables or benches for cleaning fish are permitted on... TVA. (3) Buoys must conform to the Uniform State Waterway Marking system. (f) Structures shall not be...

  1. Global Near Real-Time Temperature and Salinity Profile Data from the GTSPP project from 27 February 2001 to 30 May 2001 (NODC Accession 0000575)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical, current, meteorological, and other data were collected from XBT casts, buoys, and other instruments from a World-Wide distribution. Data were collected...

  2. Operational use of ocean surface drifters for tracking spilled oil

    International Nuclear Information System (INIS)

    Aamo, O. M.; Jensen, H.

    1997-01-01

    The use of Argos-positioned surface drifters by Norwegian engineers to monitor oil slicks in the North Sea was discussed. The system that was tested in June 1996 during the Norwegian Clean Seas Association oil-on-water exercise consisted of several GPS-positioned Argos drift trackers, an Argos receiver, a GPS navigator for the ship's position, and a PC with software for logging and displaying positions. Results of the field trial have been positive in that the system worked as expected. The range of direct transmission of signals from the buoys to the ship was about three nautical miles. The degree of accuracy of the relative positioning between the buoy GPS and the ship-borne GPS navigator was similar to the absolute positioning of single buoys. For best results, a minimum of two buoys and the use of lithium cells to increase battery capacity, were recommended. 3 refs., 5 figs

  3. case study nigeria pstn

    African Journals Online (AJOL)

    user

    telecommunications industry all over the world is ever burgeoning. Its growth is buoyed ... developing countries depends, among other things, on the ... countries are rushing to modernize their ..... However, most operators prefer to outsource.

  4. 77 FR 20295 - United States Navy Restricted Area, Menominee River, Marinette Marine Corporation Shipyard...

    Science.gov (United States)

    2012-04-04

    ... to the point of origin. The restricted area will be marked by a lighted and signed floating buoy line... supervision or contract to a local military or Naval authority, vessels of the United States Coast Guard, and...

  5. Autonomous Acoustic Receiver System

    Data.gov (United States)

    Federal Laboratory Consortium — FUNCTION: Collects underwater acoustic data and oceanographic data. Data are recorded onboard an ocean buoy and can be telemetered to a remote ship or shore station...

  6. Global Near Real-Time Temperature and Salinity Profile Data from the GTSPP project from 25 November 2000 to 30 April 2001 (NODC Accession 0000572)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical, current, meteorological, and other data were collected from XBT casts, buoys, and other instruments from a World-Wide distribution. Data were collected...

  7. CURRENT DIRECTION, ICE - MOVEMENT - DIRECTION and other data from DRIFTING PLATFORM in the NW Atlantic from 1992-05-01 to 1993-06-13 (NODC Accession 9300136)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The drifting buoy data in this accession was collected over a one year period from bouys deployed by Science Applications, Inc., Raleigh NC in NW Atlantic (limit-40...

  8. CURRENT DIRECTION, ICE - MOVEMENT - DIRECTION and other data from DRIFTING PLATFORM from 1976-04-05 to 1991-10-16 (NODC Accession 9300195)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The drifting buoy data in this accession was collected from 120 stations over 15 year period by US Coast Guard, Groton, CT. The data was collected between April 5,...

  9. Passive Acoustic Studies of North Atlantic Right Whales

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Passive acoustic monitoring buoys have been deployed in shallow waters between North Carolina and Northern Florida since 2003. These units are bottom mounted...

  10. CURRENT - DIRECTION and Other Data from ESSO DEUTSCHLAND and Other Platforms From Arabian Sea and Others from 19011027 to 19890807 (NODC Accession 9000154)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Data consists of ship drift data collected using drifting buoys from six merchant ships, collected for the German Oceanographic Data Center (Deutsches...

  11. Current meter - direction and other data from FIXED PLATFORMS in support of the Brine Disposal project from 1979-10-01 to 1980-01-01 (NODC Accession 8000049)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Current meter - direction and other data were collected from FIXED PLATFORMS from 01 October 1979 to 01 January 1980. Data were collected by the National Data Buoy...

  12. Biofouling Organisms in the Field and for the Classroom.

    Science.gov (United States)

    Stout, Prentice K.

    1983-01-01

    Biofouling organisms are marine organisms that affix themselves to navigational buoys, floating docks, and pilings. Techniques for collecting these organisms for classroom use are described. General background information on the organisms and a list of common species are included. (JN)

  13. CURRENT DIRECTION, ICE - MOVEMENT - DIRECTION and other data from DRIFTING PLATFORM in the NW Atlantic from 1993-06-10 to 1993-09-23 (NODC Accession 9400065)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Global Positioning System (GPS) tracked drifting buoy data in this accession was collected in NW Atlantic (limit-40 W) between June 10, 1993 and September 23,...

  14. WAVE DIRECTION and Other Data from GILLISS from 19740903 to 19740918 (NODC Accession 7601715)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Ocean wave property data collected from the SAIL Pitch-roll Buoy as part of the 1974 Atlantic Tropical Experiment (GATE) project that was part of the Global...

  15. Global Near Real-Time Temperature and Salinity Profile Data from the GTSPP project from 26 May 2001 to 31 August 2001 (NODC Accession 0000578)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical, current, meteorological, and other data were collected from XBT casts, buoys, and other instruments from a World-Wide distribution. Data were collected...

  16. Saipan 2005 Sea Surface Temperature and Meteorological Enhanced Mooring - CRED CREWS Near Real Time and Historical Data

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Site Saipan, CNMI (15.2375N, 145.72283W) ARGOS Buoy ID 26105 Time series data from this mooring provide high resolution sea surface temperature, and surface...

  17. Evolution Strategies with Optimal Covariance Matrix Update Applied to Sustainable Wave Energy

    DEFF Research Database (Denmark)

    Rodríguez Arbonès, Dídac

    plants requires large financial investments. A common type of wave energy plants are buoy farms. These farms consist of a group of buoys moored to the sea floor. The buoys capture the movement of the waves and pump hydraulic fluid onshore, where a turbine generates power. Constructive and destructive...... power modelling, gradient information is not available and one has to resort to derivative-free optimization methods. Furthermore, not all possible buoy configurations can be implemented. The daily operation of wave energy plants introduces constraints on the layouts that can be achieved in practice......Modern society depends heavily on fossil fuels. We rely on this source of energy for everything, from food and clothing production to daily transportation. Even the Internet is mostly powered by these sources of energy. This reliance has led us to a high-risk situation where all that we take...

  18. Seasonal mixed layer heat balance of the southwestern tropical Indian Ocean

    Digital Repository Service at National Institute of Oceanography (India)

    Foltz, G.R.; Vialard, J.; PraveenKumar, B.; McPhaden, M.J.

    from a long-term moored buoy are used in conjunction with satellite, in situ, and atmospheric reanalysis datasets to analyze the seasonal mixed layer heat balance in the thermocline ridge region of the southwestern tropical Indian Ocean. This region...

  19. METOCEAN Data Systems Drifters (NODC Accession 9900163)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Sea surface temperature data were collected using drifting buoys in the Southern Oceans from 08 November 1997 to 18 February 1998. Data were submitted by Oregon...

  20. Global Near Real-Time Temperature and Salinity Profile Data from the GTSPP project from 15 June 2002 to 29 October 2003 (NODC Accession 0001214)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical, current, meteorological, and other data were collected from XBT casts, buoys, and other instruments from a World-Wide distribution. Data were collected...

  1. 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...

  2. OceanSITES RAMA daily in-situ data

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — OceanSITES daily in-situ data. OceanSITES Global Tropical Moored Buoy Array Research Moored Array for African-Asian-Australian Monsoon Analysis and Prediction (RAMA)...

  3. Results of the Royal Society Joint Air-Sea Interaction Project (JASIN): proceedings of a Royal Society discussion meeting held on 2 and 3 June 1982

    National Research Council Canada - National Science Library

    Charnock, H; Pollard, R. T

    1983-01-01

    ... of the North Atlantic about 150 km across with use of buoys, ships, balloons and aircraft to observe the structure of the upper ocean and the lower atmosphere, and their interaction with each other and with...

  4. Zonal surface wind jets across the Red Sea due to mountain gap forcing along both sides of the Red Sea

    KAUST Repository

    Jiang, Houshuo; Farrar, J. Thomas; Beardsley, Robert C.; Chen, Ru; Chen, Changsheng

    2009-01-01

    [1] Mesoscale atmospheric modeling over the Red Sea, validated by in-situ meteorological buoy data, identifies two types of coastal mountain gap wind jets that frequently blow across the longitudinal axis of the Red Sea: (1) an eastward

  5. Global Near Real-Time Temperature and Salinity Profile Data from the GTSPP project from 07 April 2001 to 29 June 2001 (NODC Accession 0000576)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical, current, meteorological, and other data were collected from XBT casts, buoys, and other instruments from a World-Wide distribution. Data were collected...

  6. Oceanographic and marine meteorological observations in the Northwest Pacific ocean during 1998 (NODC Accession 0000070)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Temperature profile, plankton, and nutrients data were collected using buoy and CTD casts in the Northwest Pacific Ocean. Data were collected from 22 January 1998 to...

  7. Data from moored current meters, temperature and salinity from a historical mooring placed in Hood Canal, Puget Sound, February - April 1980 (NODC Accession 0000680)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical, current, and other data were collected from moored buoys in Hood Canal and the Puget Sound from 08 February 1980 to 10 April 1980. Data were collected by...

  8. Characteristics of waves off Goa, west coast of India

    Digital Repository Service at National Institute of Oceanography (India)

    SanilKumar, V.; AshokKumar, K.; Anand, N.M.

    Directional wave measurements were carried out using Datawell directional waverider buoy off Goa along west coast of India during the south west monsoon period in 1996 and the results are presented. Theoretical joint distribution of wave height...

  9. Longshore currents and sediment trnsport along Kannirajapuram Coast, Tamilnadu, India

    Digital Repository Service at National Institute of Oceanography (India)

    SanilKumar, V.; Chandramohan, P.; AshokKumar, K.; Gowthaman, R.; Pednekar, P.S.

    The objective of the study was to estimate longshore current and sediment transport from measured wave data and from the observations on the littoral environment. A directional wave rider buoy was deployed at 12m water depth, 11 km off...

  10. Temperature, salinity and other measurements found in dataset OSD taken from the SEIFU MARU (Call Sign JIVB) (Operation dates: 1993 to present), RYOFU MARU (Call sign JGZK; Operation date: 08.1966 - 05.1995) and other platforms in the Coastal N Pacific, North Pacific and other locations from 1964 to 2000 (NODC Accession 0000483)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Temperature profile and nutrients data were collected using bottle, buoy, and CTD casts from several research vessels in the North/South Pacific Ocean from 01...

  11. Physical, meteorological, and other data from FIXED PLATFORM in the North Pacific in support of the North Pacific Study Program from 01 August 1968 to 01 June 1971 (NODC Accession 7200359)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Physical, meteorological , and other data were collected from FIXED PLATFORM from 01 August 1968 to 01 June 1971. Data were collected from buoy BRAVO by Scripps...

  12. WATER TEMPERATURE and Other Data from DRIFTING PLATFORM From TOGA Area - Pacific (30 N to 30 S) from 19891031 to 19940722 (NODC Accession 9600093)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The drifting buoy data in this accession was collected from 766 ARGOS-tracked SVP Lagrangian drifters in TOGA Area - Pacific (30 N to 30 S) as part of Tropical Ocean...

  13. 50 CFR 86.13 - What is boating infrastructure?

    Science.gov (United States)

    2010-10-01

    ... to tie up. These features include, but are not limited to: (a) Mooring buoys (permanently anchored... boats to reach the shore); (i) Restrooms; (j) Retaining walls; (k) Bulkheads; (l) Dockside utilities; (m...

  14. The Coast Guard Proceedings of the Marine Safety and Security Council. Volume 72, Number 2, Summer 2015

    Science.gov (United States)

    2015-01-01

    we will increase maritime situational aware- ness through improved risk-based collection, analysis , and mitigation through improved waterway design...entrance buoys mark the seaward access to a waterway. Buoys can be either unlighted or lighted and display a rhythmic ashing light signal. They can...structures that provide a platform for a rhythmic , ashing light signal. This includes range lights that mark the centerline of a channel, sector

  15. Ocean Profile Measurements During the Seasonal Ice Zone Reconnaissance Surveys Ocean Profiles

    Science.gov (United States)

    2017-01-01

    converted to engineering units by the TSK Converter and recorded on the laptop computer . A backup recording of the raw received signal is made with...S, V, internal waves/mixing Clouds and the Evolution of the SIZ in Beaufort and Chukchi Seas Schweiger Lindsay, Zhang, Maslanik, Lawrence...Atmospheric profiles (dropsondes, micro-aircraft), cloud top/base heights UpTempO buoys for understanding and prediction…. Steele UpTempO buoy

  16. The U.S. Coast Guard’s Deepwater Force Modernization Plan: Can It Be Accelerated? Will It Meet Changing Security Needs?

    Science.gov (United States)

    2004-01-01

    Vehicle WAGB Ice Breaker WHEC High Endurance Cutter (also HEC) WIX Training Cutter WLB Seagoing Buoy Tender WLI Inland Buoy Tender WLIC Inland Construction...Foreign vessel inspections • Living marine resources protection • Marine and environmental science. The USCG website includes web pages for each mission...pp. 6–8 (available on the Web at http://www.uscg.mil/deepwater/. Mission Need. Most USCG Deepwater missions can be broken down into the functional

  17. Review of 2 kW grid connected LOPF tests in Nissum Bredning

    DEFF Research Database (Denmark)

    Margheritini, Lucia

    This report has been prepared by Per Resen and Aalborg University for the ForskVE project 10878: 2 kW grid connected LOPF test buoy. AAU has the role of reviewing and advise on the data analysis, besides compiling this report. The purpose of this project was to document the mechanical power...... production against a target power curve of a 2kW grid connected wave energy buoy in Nissum Bredning at Helligsø....

  18. Data communication for near shore applications

    OpenAIRE

    Stetenfeldt, Andreas

    2017-01-01

    The wave energy conversion concept developed at Uppsala University is based on a buoy at sea level that is connected to a linear generator on the sea bed. The movements of the buoy riding the waves gets converted into electricity by the reciprocal movements of the translator inside the generator. To be able to compensate the negative impact of water level variations on power production, which is especially important at sites with high tidal range, a sea level compensation system to be placed ...

  19. 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...

  20. Robust wavebuoys for the marginal ice zone: Experiences from a large persistent array in the Beaufort Sea

    Directory of Open Access Journals (Sweden)

    Martin J. Doble

    2017-08-01

    Full Text Available An array of novel directional wavebuoys was designed and deployed into the Beaufort Sea ice cover in March 2014, as part of the Office of Naval Research 'Marginal Ice Zone' experiment. The buoys were designed to drift with the ice throughout the year and monitor the expected breakup and retreat of the ice cover, forced by waves travelling into the ice from open water. Buoys were deployed from fast-and-light air-supported ice camps, based out of Sachs Harbour on Canada’s Banks Island, and drifted westwards with the sea ice over the course of spring, summer and autumn, as the ice melted, broke up and finally re-froze. The buoys transmitted heave, roll and pitch timeseries at 1 Hz sample frequency over the course of up to eight months, surviving both convergent ice dynamics and significant waves-in-ice events. Twelve of the 19 buoys survived until their batteries were finally exhausted during freeze-up in late October/November. Ice impact was found to have contaminated a significant proportion of the Kalman-filter-derived heave records, and these bad records were removed with reference to raw x/y/z accelerations. The quality of magnetometer-derived buoy headings at the very high magnetic field inclinations close to the magnetic pole was found to be generally acceptable, except in the case of four buoys which had probably suffered rough handling during transport to the ice. In general, these new buoys performed as expected, though vigilance as to the veracity of the output is required.

  1. Estimation of excitation forces for wave energy converters control using pressure measurements

    Science.gov (United States)

    Abdelkhalik, O.; Zou, S.; Robinett, R.; Bacelli, G.; Wilson, D.

    2017-08-01

    Most control algorithms of wave energy converters require prediction of wave elevation or excitation force for a short future horizon, to compute the control in an optimal sense. This paper presents an approach that requires the estimation of the excitation force and its derivatives at present time with no need for prediction. An extended Kalman filter is implemented to estimate the excitation force. The measurements in this approach are selected to be the pressures at discrete points on the buoy surface, in addition to the buoy heave position. The pressures on the buoy surface are more directly related to the excitation force on the buoy as opposed to wave elevation in front of the buoy. These pressure measurements are also more accurate and easier to obtain. A singular arc control is implemented to compute the steady-state control using the estimated excitation force. The estimated excitation force is expressed in the Laplace domain and substituted in the control, before the latter is transformed to the time domain. Numerical simulations are presented for a Bretschneider wave case study.

  2. Real-Time Seismic Data from the Bottom Sea

    Directory of Open Access Journals (Sweden)

    Xavier Roset

    2018-04-01

    Full Text Available An anchored marine seismometer, acquiring real-time seismic data, has been built and tested. The system consists of an underwater seismometer, a surface buoy, and a mooring line that connects them. Inductive communication through the mooring line provides an inexpensive, reliable, and flexible solution. Prior to the deployment the dynamics of the system have been simulated numerically in order to find optimal materials, cables, buoys, and connections under critical marine conditions. The seismometer used is a high sensitivity triaxial broadband geophone able to measure low vibrational signals produced by the underwater seismic events. The power to operate the surface buoy is provided by solar panels. Additional batteries are needed for the underwater unit. In this paper we also present the first results and an earthquake detection of a prototype system that demonstrates the feasibility of this concept. The seismometer transmits continuous data at a rate of 1000 bps to a controller equipped with a radio link in the surface buoy. A GPS receiver on the surface buoy has been configured to perform accurate timestamps on the seismic data, which makes it possible to integrate the seismic data from these marine seismometers into the existing seismic network.

  3. A system for offshore loading/unloading of a flowable medium, especially oil. System for offshore lasting/lossing av et strmbart medium, srlig olje

    Energy Technology Data Exchange (ETDEWEB)

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

    1994-07-04

    The invention deals with a system for transferring a flowable medium, especially oil, to or from a floating vessel. The system comprises a buoyancy unit in the form of a submerged buoy which is anchored to the sea bed and which is connected to at least one transfer line for medium, a downwardly open receiving means arranged on the vessel below the water surface and arranged for receipt and connection of the buoy, a hoisting means for raising the buoy for introduction thereof into the receiving means, and a means for allowing the vessel to turn about a vertical axis through the buoy when this is connected in the receiving means. The receiving means is a module arranged at a submerged location at the outer side of the hull of the vessel, and preferably is built into the low portion of the vessel, and the buoy comprises an outer buoyancy member and centrally therein a rotatably mounted member for the passage of medium. Further, in the inner space of the module there is provided a locking mechanism for releasable locking of the outer buoyancy member to the module, so that the outer member will turn about the central member with turing of the vessel, a coupling unit, which is associated with a tube system provided on the vessel for the transfer of medium, being connected to the central member through a swivel means. 6 figs.

  4. OBS Technologies and permanent seismic Stations at Sea

    Science.gov (United States)

    Makris, J.; Nikolova, S. B.

    2003-04-01

    An off-shore telemetric system was developed during last 2 years. It consists of a buoy unit, OBS with seismic sensor and digitizer at the sea floor and coaxial cable for transferring data from the sea. The buoy unit includes all components for recording and transmitting data to the base station. A solar panel and wind generator are the sources of energy that charge the batteries in the buoy. An Omni directional antenna and a radio modem are used for data transfer. The buoy can be connected also to mobile network or satellite. The Seismic recording unit is SEDIS IV developed in GeoPro GmbH which is a 6 channel data logger equipped with a hard disk of 30 GByte capacity and a flash memory of 0.5 Gbyte which can continuously record at different sampling rate (from 31.25 to 1000sps). The operating system for SEDIS IV is LINUX, with possible data compression, event location and extraction. The data transfer and supply of the power to seismometer and ADC unit in OBS sphere is done through coaxial cable, connecting the buoy unit and OBS. The whole system was tested for a period of one month (October 2002) within frame of Nestor program in Pilos (Greece) and worked successfully.

  5. Real-time petroleum spill detection system

    International Nuclear Information System (INIS)

    Dakin, D.T.

    2001-01-01

    A real-time autonomous oil and fuel spill detection system has been developed to rapidly detect of a wide range of petroleum products floating on, or suspended in water. The system consists of an array of spill detection buoys distributed within the area to be monitored. The buoys are composed of a float and a multispectral fluorometer, which looks up through the top 5 cm of water to detect floating and suspended petroleum products. The buoys communicate to a base station computer that controls the sampling of the buoys and analyses the data from each buoy to determine if a spill has occurred. If statistically significant background petroleum levels are detected, the system raises an oil spill alarm. The system is useful because early detection of a marine oil spill allows for faster containment, thereby minimizing the contaminated area and reducing cleanup costs. This paper also provided test results for biofouling, various petroleum product detection, water turbidity and wave tolerance. The technology has been successfully demonstrated. The UV light source keeps the optic window free from biofouling, and the electronics are fully submerged so there is no risk that the unit could ignite the vapours of a potential oil spill. The system can also tolerate moderately turbid waters and can therefore be used in many rivers, harbours, water intakes and sumps. The system can detect petroleum products with an average thickness of less than 3 micrometers floating on the water surface. 3 refs., 15 figs

  6. 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.

  7. Real-Time Seismic Data from the Bottom Sea.

    Science.gov (United States)

    Roset, Xavier; Trullols, Enric; Artero-Delgado, Carola; Prat, Joana; Del Río, Joaquin; Massana, Immaculada; Carbonell, Montserrat; Barco de la Torre, Jaime; Toma, Daniel Mihai

    2018-04-08

    An anchored marine seismometer, acquiring real-time seismic data, has been built and tested. The system consists of an underwater seismometer, a surface buoy, and a mooring line that connects them. Inductive communication through the mooring line provides an inexpensive, reliable, and flexible solution. Prior to the deployment the dynamics of the system have been simulated numerically in order to find optimal materials, cables, buoys, and connections under critical marine conditions. The seismometer used is a high sensitivity triaxial broadband geophone able to measure low vibrational signals produced by the underwater seismic events. The power to operate the surface buoy is provided by solar panels. Additional batteries are needed for the underwater unit. In this paper we also present the first results and an earthquake detection of a prototype system that demonstrates the feasibility of this concept. The seismometer transmits continuous data at a rate of 1000 bps to a controller equipped with a radio link in the surface buoy. A GPS receiver on the surface buoy has been configured to perform accurate timestamps on the seismic data, which makes it possible to integrate the seismic data from these marine seismometers into the existing seismic network.

  8. Designing a point-absorber wave energy converter for the Mediterranean Sea

    International Nuclear Information System (INIS)

    Archetti, Renata; Moreno Miquel, Adria; Antonini, Alessandro; Passoni, Giuseppe; Bozzi, Silvia; Gruosso, Giambattista; Scarpa, Francesca; Bizzozero, Federica; Giassi, Marianna

    2015-01-01

    This work aims to assess the potential for wave energy production in the Italian seas by the deployment of arrays of heaving point absorbers, specifically optimized for mild climates. We model a single-body WEC, consisting of a cylindrical heaving buoy, attached to a linear electric generator placed on the seabed. The model includes both hydrodynamic and electromechanical forces. The results show that the best buoy-generator configuration at the selected sites (Alghero and Mazara del Vallo) is given by a 6 to 10 kW device and with a buoy with diameter between 4 and 5 m. This device can be brought to resonance, increasing the performances, by adding a submerged sphere. These results are encouraging and enlarge the perspective on wave energy production in the Italian seas. [it

  9. Evaluating Surface Radiation Fluxes Observed From Satellites in the Southeastern Pacific Ocean

    Science.gov (United States)

    Pinker, R. T.; Zhang, B.; Weller, R. A.; Chen, W.

    2018-03-01

    This study is focused on evaluation of current satellite and reanalysis estimates of surface radiative fluxes in a climatically important region. It uses unique observations from the STRATUS Ocean Reference Station buoy in a region of persistent marine stratus clouds 1,500 km off northern Chile during 2000-2012. The study shows that current satellite estimates are in better agreement with buoy observations than model outputs at a daily time scale and that satellite data depict well the observed annual cycle in both shortwave and longwave surface radiative fluxes. Also, buoy and satellite estimates do not show any significant trend over the period of overlap or any interannual variability. This verifies the stability and reliability of the satellite data and should make them useful to examine El Niño-Southern Oscillation variability influences on surface radiative fluxes at the STRATUS site for longer periods for which satellite record is available.

  10. Technologies for the marking of fishing gear to identify gear components entangled on marine animals and to reduce abandoned, lost or otherwise discarded fishing gear.

    Science.gov (United States)

    He, Pingguo; Suuronen, Petri

    2018-04-01

    Fishing gears are marked to establish and inform origin, ownership and position. More recently, fishing gears are marked to aid in capacity control, reduce marine litter due to abandoned, lost or otherwise discarded fishing gear (ALDFG) and assist in its recovery, and to combat illegal, unreported and unregulated (IUU) fishing. Traditionally, physical marking, inscription, writing, color, shape, and tags have been used for ownership and capacity purposes. Buoys, lights, flags, and radar reflectors are used for marking of position. More recently, electronic devices have been installed on marker buoys to enable easier relocation of the gear by owner vessels. This paper reviews gear marking technologies with focus on coded wire tags, radio frequency identification tags, Automatic Identification Systems, advanced electronic buoys for pelagic longlines and fish aggregating devices, and re-location technology if the gear becomes lost. Copyright © 2018 Elsevier Ltd. All rights reserved.

  11. DRIFTER Web App Development Support

    Science.gov (United States)

    Davis, Derrick D.; Armstrong, Curtis D.

    2015-01-01

    During my 2015 internship at Stennis Space Center (SSC) I supported the development of a web based tool to enable user interaction with a low-cost environmental monitoring buoy called the DRIFTER. DRIFTERs are designed by SSC's Applied Science and Technology Projects branch and are used to measure parameters such as water temperature and salinity. Data collected by the buoys help verify measurements by NASA satellites, which contributes to NASA's mission to advance understanding of the Earth by developing technologies to improve the quality of life on or home planet. My main objective during this internship was to support the development of the DRIFTER by writing web-based software that allows the public to view and access data collected by the buoys. In addition, this software would enable DRIFTER owners to configure and control the devices.

  12. Modeling and Simulation of a Wave Energy Converter INWAVE

    Directory of Open Access Journals (Sweden)

    Seung Kwan Song

    2017-01-01

    Full Text Available INGINE Inc. developed its own wave energy converter (WEC named INWAVE and has currently installed three prototype modules in Jeju Island, Korea. This device is an on-shore-type WEC that consists of a buoy, pulleys fixed to the sea-floor and a power take off module (PTO. Three ropes are moored tightly on the bottom of the buoy and connected to the PTO via the pulleys, which are moving back and forth according to the motion of the buoy. Since the device can harness wave energy from all six degrees of movement of the buoy, it is possible to extract energy efficiently even under low energy density conditions provided in the coastal areas. In the PTO module, the ratchet gears convert the reciprocating movement of the rope drum into a uni-directional rotation and determine the transmission of power from the relation of the angular velocities between the rope drum and the generator. In this process, the discontinuity of the power transmission occurs and causes the modeling divergence. Therefore, we introduce the concept of the virtual torsion spring in order to prevent the impact error in the ratchet gear module, thereby completing the PTO modeling. In this paper, we deal with dynamic analysis in the time domain, based on Newtonian mechanics and linear wave theory. We derive the combined dynamics of the buoy and PTO modules via geometric relation between the buoy and mooring ropes, then suggest the ratchet gear mechanism with the virtual torsion spring element to reduce the dynamic errors during the phase transitions. Time domain simulation is carried out under irregular waves that reflect the actual wave states of the installation area, and we evaluate the theoretical performance using the capture width ratio.

  13. Wave Power Demonstration Project at Reedsport, Oregon

    Energy Technology Data Exchange (ETDEWEB)

    Mekhiche, Mike [Principal Investigator; Downie, Bruce [Project Manager

    2013-10-21

    Ocean wave power can be a significant source of large‐scale, renewable energy for the US electrical grid. The Electrical Power Research Institute (EPRI) conservatively estimated that 20% of all US electricity could be generated by wave energy. Ocean Power Technologies, Inc. (OPT), with funding from private sources and the US Navy, developed the PowerBuoy to generate renewable energy from the readily available power in ocean waves. OPT's PowerBuoy converts the energy in ocean waves to electricity using the rise and fall of waves to move the buoy up and down (mechanical stroking) which drives an electric generator. This electricity is then conditioned and transmitted ashore as high‐voltage power via underwater cable. OPT's wave power generation system includes sophisticated techniques to automatically tune the system for efficient conversion of random wave energy into low cost green electricity, for disconnecting the system in large waves for hardware safety and protection, and for automatically restoring operation when wave conditions normalize. As the first utility scale wave power project in the US, the Wave Power Demonstration Project at Reedsport, OR, will consist of 10 PowerBuoys located 2.5 miles off the coast. This U.S. Department of Energy Grant funding along with funding from PNGC Power, an Oregon‐based electric power cooperative, was utilized for the design completion, fabrication, assembly and factory testing of the first PowerBuoy for the Reedsport project. At this time, the design and fabrication of this first PowerBuoy and factory testing of the power take‐off subsystem are complete; additionally the power take‐off subsystem has been successfully integrated into the spar.

  14. A concise account of techniques available for shipboard sea state estimation

    DEFF Research Database (Denmark)

    Nielsen, Ulrik Dam

    2017-01-01

    This article gives a review of techniques applied to make sea state estimation on the basis of measured responses on a ship. The general concept of the procedures is similar to that of a classical wave buoy, which exploits a linear assumption between waves and the associated motions. In the frequ......This article gives a review of techniques applied to make sea state estimation on the basis of measured responses on a ship. The general concept of the procedures is similar to that of a classical wave buoy, which exploits a linear assumption between waves and the associated motions...

  15. 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.

  16. Utilization of space technology for terrestrial solar power applications

    Science.gov (United States)

    Yasui, R. K.; Patterson, R. E.

    1974-01-01

    A description is given of the evolution of photovoltaic power systems designed and built for terrestrial applications, giving attention to problem areas which are currently impeding the further development of such systems. The rooftop testing of surplus solar panels is considered along with solar powered seismic observatories, solar powered portable radio sets, and design considerations identified from past experience. Present activities discussed are related to a solar powered on-shore beacon flasher system, a solar powered buoy, and a solar powered beacon flasher buoy.

  17. Assessment and Analysis of QuikSCAT Vector Wind Products for the Gulf of Mexico: A Long-Term and Hurricane Analysis

    Directory of Open Access Journals (Sweden)

    Eurico D’Sa

    2008-03-01

    Full Text Available The northern Gulf of Mexico is a region that has been frequently impacted in recent years by natural disasters such as hurricanes. The use of remote sensing data such as winds from NASA’s QuikSCAT satellite sensor would be useful for emergency preparedness during such events. In this study, the performance of QuikSCAT products, including JPL’s latest Level 2B (L2B 12.5 km swath winds, were evaluated with respect to buoy-measured winds in the Gulf of Mexico for the period January 2005 to February 2007. Regression analyses indicated better accuracy of QuikSCAT’s L2B DIRTH, 12.5 km than the Level 3 (L3, 25 km wind product. QuikSCAT wind data were compared directly with buoy data keeping a maximum time interval of 20 min and spatial interval of 0.1° (≈10 km. R2 values for moderate wind speeds were 0.88 and 0.93 for L2B, and 0.75 and 0.89 for L3 for speed and direction, respectively. QuikSCAT wind comparisons for buoys located offshore were better than those located near the coast. Hurricanes that took place during 2002-06 were studied individually to obtain regressions of QuikSCAT versus buoys for those events. Results show QuikSCAT’s L2B DIRTH wind product compared well with buoys during hurricanes up to the limit of buoy measurements. Comparisons with the National Hurricane Center (NHC best track analyses indicated QuikSCAT winds to be lower than those obtained by NHC, possibly due to rain contamination, while buoy measurements appeared to be constrained at high wind speeds. This study has confirmed good agreement of the new QuikSCAT L2B product with buoy measurements and further suggests its potential use during extreme weather conditions in the Gulf of Mexico.

  18. Multiyear ice transport and small scale sea ice deformation near the Alaska coast measured by air-deployable Ice Trackers

    Science.gov (United States)

    Mahoney, A. R.; Kasper, J.; Winsor, P.

    2015-12-01

    Highly complex patterns of ice motion and deformation were captured by fifteen satellite-telemetered GPS buoys (known as Ice Trackers) deployed near Barrow, Alaska, in spring 2015. Two pentagonal clusters of buoys were deployed on pack ice by helicopter in the Beaufort Sea between 20 and 80 km offshore. During deployment, ice motion in the study region was effectively zero, but two days later the buoys captured a rapid transport event in which multiyear ice from the Beaufort Sea was flushed into the Chukchi Sea. During this event, westward ice motion began in the Chukchi Sea and propagated eastward. This created new openings in the ice and led to rapid elongation of the clusters as the westernmost buoys accelerated away from their neighbors to the east. The buoys tracked ice velocities of over 1.5 ms-1, with fastest motion occurring closest to the coast indicating strong current shear. Three days later, ice motion reversed and the two clusters became intermingled, rendering divergence calculations based on the area enclosed by clusters invalid. The data show no detectable difference in velocity between first year and multiyear ice floes, but Lagrangian timeseries of SAR imagery centered on each buoy show that first year ice underwent significant small-scale deformation during the event. The five remaining buoys were deployed by local residents on prominent ridges embedded in the landfast ice within 16 km of Barrow in order to track the fate of such features after they detached from the coast. Break-up of the landfast ice took place over a period of several days and, although the buoys each initially followed a similar eastward trajectory around Point Barrow into the Beaufort Sea, they rapidly dispersed over an area more than 50 km across. With rapid environmental and socio-economic change in the Arctic, understanding the complexity of nearshore ice motion is increasingly important for predict future changes in the ice and the tracking ice-related hazards

  19. Time-Series Measurements of Atmospheric and Oceanic CO2 and O2 in the Western Gulf of Maine

    Science.gov (United States)

    2008-09-01

    is 2 meters in diameter and 3.5 m tall with a Surlyn foam flotation collar (Gilman Corporation). The Surlyn foam was cut with two chines so that...the flotation in the lightweight foam, the buoy with full 978-1-4244-2620-1/08/$25.00 ©2008 IEEE Report Documentation Page Form ApprovedOMB No. 0704...deployments, necessitating routine servicing (buoy pulled on deck in good weather and cleaned) (Figure 8). Modifications to a 90/10 copper -nickel

  20. Physical and meteorological data from the Tropical Atmosphere Ocean (TAO) array in the tropical Pacific Ocean

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — The Tropical Atmosphere Ocean (TAO) Array of 55 moored buoys spans the tropical Pacific from longitudes 165°E to 95°W between latitudes of approximately 8°S and...

  1. Evaluation of OSCAR ocean surface current product in the tropical ...

    Indian Academy of Sciences (India)

    Next, the evaluation has been carried out by comparing the OSCAR currents with currents measured by moored buoys ... measurements, to derive the surface current prod- uct, known ... ogy of surface currents based on drifter data. The ... and prediction (RAMA). ..... of satellite derived forcings on numerical ocean model sim-.

  2. 36 CFR 327.20 - Unauthorized structures.

    Science.gov (United States)

    2010-07-01

    ... 36 Parks, Forests, and Public Property 3 2010-07-01 2010-07-01 false Unauthorized structures. 327... CHIEF OF ENGINEERS § 327.20 Unauthorized structures. The construction, placement, or existence of any structure (including, but not limited to, roads, trails, signs, non-portable hunting stands or blinds, buoys...

  3. On the Effects of Unsteady Flow Conditions on the Performance of a Cross Flow Hydrokinetic Turbine

    Science.gov (United States)

    2017-05-22

    Energy Renewable Energy ...Continental United States PNNL- 20963 Renewable and Sustainable Energy Reviews Sea Loads on Ships and Offshore Structures Aerodynamic Characteristics of Seven...of Marine Energy BEI Sensors Ocean Engineering Mechanics: With Applications US Department of Commerce, National Oceanic and Atmospheric Administration, National Weather Service, National Data Buoy Center.

  4. Journal of Earth System Science | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    This paper describes the variability in the diurnal range of SST in the north Indian Ocean using in situ measurements and tests the suitability of simple regression models in estimating the diurnal range.SST measurements obtained from 1556 drifting and 25 moored buoys were used to determine the diurnal range of SSTs.

  5. Indian Ocean surface winds from NCMRWF analysis as compared

    Indian Academy of Sciences (India)

    The quality of the surface wind analysis at the National Centre for Medium Range Weather Forecasts (NCMRWF), New Delhi over the tropical Indian Ocean and its improvement in 2001 are examined by comparing it with in situ buoy measurements and satellite derived surface winds from NASA QuikSCAT satellite (QSCT) ...

  6. 77 FR 50926 - Security Zones; Certain Dangerous Cargo Vessels, Tampa, FL

    Science.gov (United States)

    2012-08-23

    ... (LPG), and ammonium nitrate. The security zones will start at buoys 3 and 4 in Tampa Bay ``F'' cut... propane gas, and ammonium nitrate. The security zones prohibit any vessel from entering within 500 yards.... We seek any comments or information that may lead to the discovery of a significant environmental...

  7. 33 CFR 165.T14-204 - Safety Zone; fixed mooring balls, south of Barbers Pt Harbor Channel, Oahu, Hawaii.

    Science.gov (United States)

    2010-07-01

    ..., south of Barbers Pt Harbor Channel, Oahu, Hawaii. 165.T14-204 Section 165.T14-204 Navigation and... Pt Harbor Channel, Oahu, Hawaii. (a) Location. The following area is a safety zone: All waters... position is approximately 2,500 yards south of Barbers Point Harbor channel buoy #2, Oahu, Hawaii. This...

  8. 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.

  9. Partial pressure (or fugacity) of carbon dioxide, salinity, oxygen and other variables collected from time series observations using Battelle Seaology pCO2 monitoring system (MApCO2) from MOORING Maria_Island_42S_148E deployment in the Tasman Sea, Pacific Ocean from 2012-04-17 to 2012-10-18 (NCEI Accession 0165305)

    Data.gov (United States)

    National Oceanic and Atmospheric Administration, Department of Commerce — Measurements in the data set are made with a Battelle Seaology pCO2 monitoring system (MApCO2), a Seabird SBE16plusV2 CTD, mounted on a surface buoy similar to the...

  10. 33 CFR 148.5 - How are terms used in this subchapter defined?

    Science.gov (United States)

    2010-07-01

    ... anchored in calm water free of wind, current, or tide conditions that would cause the tanker to move. Hose... ocean bottom when the tanker is underway, anchored, or moored, and subject to actual wind, waves... submerged turret loading buoys that can pump oil or natural gas and that has one or more of the following...

  11. 78 FR 69049 - Takes of Marine Mammals Incidental to Specified Activities; Taking Marine Mammals Incidental to...

    Science.gov (United States)

    2013-11-18

    ... leading to the connecting Algonquin Pipeline Lateral. When the LNG vessel is on the buoy, wind and current... depending upon currents, winds, waves and other forces acting on the vessel at the time of the work... a 90-foot vessel powered with a 1,200 horsepower diesel engine with a four-pump seawater cooling...

  12. An Investigation of Momentum Exchange Parameterizations and Atmospheric Forcing for the Coastal Mixing and Optics Program

    Science.gov (United States)

    1998-09-01

    Stenner , 1996.] Figure 2.2. Coastal Mixing and Optics central 3 m discus buoy. [From Baumgartner and Anderson, 1997 (Figure 4).] 12 2.2.2. SoNIC...Meteorology, 78, 247-290. Stenner , R., 1996: Coastal Mixing and Optics Experimental Site (http://wavelet.apl.washington.edu/CMO/CMO_bath.html). Thiermann

  13. No habitat correlation of zooxanthellae in the coral genus Madracis on a Curacao reef

    NARCIS (Netherlands)

    Diekmann, O.E; Bak, R.P M; Tonk, L; Stam, W.T.; Olsen, J.L.

    2002-01-01

    Symbiotic dinoflagellates belonging to the genus Symbiodinium (zooxanthellae) play an important role in ecological specialization and physiological adaptation in corals, We examined the diversity and depth distribution of zooxanthellae in 5 morphospecies of Madracis at the Buoy I study-reef on

  14. 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...

  15. Rurality and resilience in education: place-based partnerships and ...

    African Journals Online (AJOL)

    In an ongoing longitudinal intervention study (STAR)1 we found that, although similarities existed in the way teachers promoted resilience, rural schools (in comparison to other STAR case schools) took longer to implement strategies to buoy support and found it difficult to sustain such support. Using rurality we wanted to ...

  16. Calibration and Validation of Inertial Measurement Unit for Wave Resolving Drifters

    Science.gov (United States)

    2013-12-01

    B. NAVAL RELEVANCE Safety and cost effectiveness are concerns for the U.S. Navy, as well. Investing significant capital and man-hours into...insulation, and Velcro ) are non-magnetic, which will be noteworthy later as we discuss the sensors. The WRD-B is a hollow spherical buoy 0.254m (10”) in

  17. 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

  18. Observed development of the vertical structure of the marine boundary layer during the LASIE experiment in the Ligurian Sea

    DEFF Research Database (Denmark)

    Sempreviva, Anna Maria; Schiano, M.E.; Pensieri, S.

    2010-01-01

    sensors mounted on the buoy ODAS Italia1 located in the centre of the Gulf of Genoa. The evolution of the height (zi) of the MABL was monitored using radiosondes and a ceilometer on board of the N/O Urania. Here, we present the database and an uncommon case study of the evolution of the vertical structure...

  19. Seasonal Variation of Diurnal Cycle of Rainfall in the Eastern Equatorial Indian Ocean

    Digital Repository Service at National Institute of Oceanography (India)

    RameshKumar, M.R.; Pednekar, S.; Katsumata, M.; Antony, M.K.; Kuroda, Y.; Unnikrishnan, A.S.

    The diurnal cycle of rainfall over the eastern equatorial Indian Ocean is studied for the period 23rd October 2001 to 31st October 2003 using the hourly data from the Triton buoy positioned at 1.5°S and 90°E. An analysis of the active and weak...

  20. KSC Weather and Research

    Science.gov (United States)

    Maier, Launa; Huddleston, Lisa; Smith, Kristin

    2016-01-01

    This briefing outlines the history of Kennedy Space Center (KSC) Weather organization, past research sponsored or performed, current organization, responsibilities, and activities, the evolution of weather support, future technologies, and an update on the status of the buoys located offshore of Cape Canaveral Air Force Station and KSC.

  1. In pursuit of repute

    International Nuclear Information System (INIS)

    Haddon, M.

    1997-01-01

    This article traces the emergence of reputation management at Shell after the abandonment of the planned sinking of the Brent Spar oil storage buoy due to public opinion aroused mainly by the successful Greenpeace campaign. The appointment of a reputation manager at Shell, and evaluation of investment proposals for their impact on Shell's reputation are reported. (UK)

  2. 33 CFR 110.145 - Narragansett Bay, R.I.

    Science.gov (United States)

    2010-07-01

    ... area. Fixed mooring piles or stakes will not be allowed. (2) Anchorage B. Off the west shore of... mooring piles or stakes will not be allowed. (ii) Anchorage X-1, Naval explosives and ammunition handling... buoys for marking anchors or moorings in place will be allowed in this area. Fixed mooring piles or...

  3. The impact of a grain of sand: increasing production speed in flexible risers generates significant savings in gas production

    NARCIS (Netherlands)

    Bokhorst, E. van; Blokland, H.

    2012-01-01

    Deep-sea oil and gas production normally involves the use of flexible risers that comprise a metal carcass with a large number of enveloping layers that safeguard the integrity of the pipe system. The flexible risers are hung from a floating platform and may be supported by several floating buoys to

  4. A component of the Indian Climate Research Programme (ICRP)

    Indian Academy of Sciences (India)

    The Indian Climate Research Programme (ICRP) focuses on the study of climate variability and its impact on agriculture. To address the role of the Bay of Bengal in monsoon variability, a process study was organised during July-August 1999, deploying research ships, buoys, INSAT, coastal radar and conventional ...

  5. Myanmar Report on Observance of Standards and Codes : Accounting and Auditing Module

    OpenAIRE

    World Bank

    2017-01-01

    Since launching fundamental political and economic reforms in 2011, Myanmar has been undergoing a major transformation aimed at increasing openness, empowerment and inclusion. The economic transition has witnessed an acceleration in growth, buoyed by improved macroeconomic management, increased gas production and exports, and stronger performance in the non-gas sectors as the economy opene...

  6. Eight years of wind measurements from scatterometer for wind resource mapping in the Mediterranean Sea

    DEFF Research Database (Denmark)

    Furevik, Birgitte R.; Sempreviva, Anna Maria; Cavaleri, Luigi

    2011-01-01

    that the scatterometer is able to provide similar long-term statistics as available from buoy data, such as annual and monthly wind indexes. Such statistics is useful to give an overview of the climatology in the different areas. The correlation between QuikScat and in situ observations is degraded towards the coast...

  7. Comparison of AMSR-2 wind speed and sea surface temperature ...

    Indian Academy of Sciences (India)

    The SST–wind relation is analyzed using data both from the buoy and satellite. As a result, the low- SST is associated with low-wind condition (positive slope) in the northern part of the Bay of Bengal (BoB), while low SST values are associated with high wind conditions (negative slope) over the southern BoB. Moreover, the ...

  8. TNP

    African Journals Online (AJOL)

    denise

    and unstable direction, indicating either the presence of horizontal turbulence or a current reversal. Current and wind were poorly ... 2002. GPS antenna. Radio antenna. Radio transmitter. GPS housing. Spar buoy. Aluminium spar. Rubber shock-cords. Safety chains. PVC canvas. Steel rings. 10 kg steel weight. 0.6 m. 6 m.

  9. 50 CFR 679.24 - Gear limitations.

    Science.gov (United States)

    2010-10-01

    ... vessel regulated under this part shall be marked with the following: (i) The vessel's name; and (ii) The... material standards: (i) Buoy bag line weather exception. In winds exceeding 45 knots (storm or Beaufort 9... mainline to 9.8 in (0.25 m) above the waterline in the absence of wind. (5) Have streamers constructed of...

  10. A Fourier Approximation Method for the Multi-Pump Multi-Piston Power Take-Off System

    NARCIS (Netherlands)

    Wei, Yanji; Barradas Berglind, Jose de Jesus; Muhammad Zaki Almuzakki, M.; van Rooij, Marijn; Wang, Ruoqi; Jayawardhana, Bayu; Vakis, Antonis I.

    2018-01-01

    In this work, a frequency-domain method for the numerical solution of the nonlinear dynamics of a wave energy converter with a pumping system is presented. To this end, a finite Fourier series is used to describe the nonlinear force components, i.e., the pumping force. The dynamics of the buoy and

  11. Mechanical design and modeling of a single-piston pump for the novel power take-off system of a wave energy converter

    NARCIS (Netherlands)

    Vakis, Antonis I.; Anagnostopoulos, John S.

    2016-01-01

    A multi-pump, multi-piston power take-off wave energy converter ((MPPTO)-P-2 WEC) has been proposed for use with a novel renewable energy harvester termed the Ocean Grazer. The (MPPTO)-P-2 WEC utilizes wave motion to pump via buoys connected to pistons working fluid within a closed circuit and store

  12. Journal of Earth System Science | Indian Academy of Sciences

    Indian Academy of Sciences (India)

    ... 2003 pp 61-77. Indian Ocean surface winds from NCMRWF analysis as compared to QuikSCAT and moored buoy winds ... Skills of different mesoscale models over Indian region during monsoon season: Forecast errors · Someshwar Das ... pp 247-258. Improvements in medium range weather forecasting system of India.

  13. Trends of wave height and period in the Central Arabian Sea from 1996 to 2012: A study based on satellite altimeter data

    Digital Repository Service at National Institute of Oceanography (India)

    Hithin, N.K.; SanilKumar, V.; Shanas, P.R.

    The variability of annual maximum and annual mean significant wave height (SWH) and wave period in the Central Arabian Sea is studied using satellite altimeter data from 1996 to 2012 at a deep water (water depth~3500 m) buoy location (15.5°N, 69...

  14. An interactive software package for validating satellite data

    Digital Repository Service at National Institute of Oceanography (India)

    Muraleedharan, P.M.; Pankajakshan, T.

    to be highly correlated (r = 0.75) with the satellite data. Very good correlation (r = 0.80) is obtained for wind speed measured from both Moored buoy and Autonomous Weather Station. Night time SSTs are found to be closer to the satellite values for wind speed...

  15. Communicating Wave Energy: An Active Learning Experience for Students

    Science.gov (United States)

    Huynh, Trongnghia; Hou, Gene; Wang, Jin

    2016-01-01

    We have conducted an education project to communicate the wave energy concept to high school students. A virtual reality system that combines both hardware and software is developed in this project to simulate the buoy-wave interaction. This first-of-its-kind wave energy unit is portable and physics-based, allowing students to conduct a number of…

  16. Climate Prediction Center - ENSO FAQ

    Science.gov (United States)

    data buoys used to monitor ocean temperatures? What is climate variability? A prominent aspect of our Niño or La Niña? During an El Niño or La Niña, the changes in Pacific Ocean temperatures affect Pacific. Changes in the ocean surface temperatures affect tropical rainfall patterns and atmospheric winds

  17. Environmental statement for Applications Technology Satellite program

    Science.gov (United States)

    1971-01-01

    The experiments, environmental impact, and applications of data collected by ATS are discussed. Data cover communications, navigation, meteorology, data collection (including data from small unattended remote stations such as buoys, seismology and hydrology monitors, etc.), geodesy, and scientific experiments to define the environment at synchronous orbit, and to monitor emissions from the sun.

  18. Equipment Grafting in Telecommunication Industry (Case Study ...

    African Journals Online (AJOL)

    The growth and pace of any industry is a veritable estimation of its viability. The telecommunications industry all over the world is ever burgeoning. Its growth is buoyed by development and technologies. These innovations do not necessarily have to instantaneously supplant the old rather they are procedurally applied to the ...

  19. Download this PDF file

    African Journals Online (AJOL)

    The latter are typical of the. Gates (1952) majority of the Kuri animals on the islands. They are thought to be some form of adaptation (i.e. for swimming in the. 2421. 314. Gates (1952) aquatic milieu). Some people consider Kuri animals with this. 1260. Epstein (1971) type of horns as the only pure Kuri. Although the buoy-.

  20. 75 FR 39915 - Marine Mammals; File No. 15483

    Science.gov (United States)

    2010-07-13

    ...) migrating past the coast of central Oregon between January and mid- April away from wave energy buoys, which... categorically excluded from the requirement to prepare an environmental assessment or environmental impact... angustirostris) annually during the experiment. In compliance with the National Environmental Policy Act of 1969...