Records |
Author |
Morey, S.L.; Bourassa, M.A.; Dukhovskoy, D.S.; O'Brien, J.J. |
Title |
Modeling studies of the upper ocean response to a tropical cyclone |
Type |
$loc['typeJournal Article'] |
Year |
2006 |
Publication |
Ocean Dynamics |
Abbreviated Journal |
Ocean Dynamics |
Volume |
56 |
Issue |
5-6 |
Pages |
594-606 |
Keywords |
air-sea interaction; tropical cyclones; ocean modeling; air-sea fluxes |
Abstract |
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Series Volume |
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Edition |
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ISSN |
1616-7341 |
ISBN |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
432 |
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Author |
Bourassa, M.A. |
Title |
An improved sea state dependency for surface stress derived from in situ and remotely sensed winds |
Type |
$loc['typeJournal Article'] |
Year |
2004 |
Publication |
Advances in Space Research |
Abbreviated Journal |
Advances in Space Research |
Volume |
33 |
Issue |
7 |
Pages |
1136-1142 |
Keywords |
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Edition |
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ISSN |
0273-1177 |
ISBN |
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Medium |
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Area |
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Expedition |
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Conference |
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Funding |
NASA, NOAA, NSF, FYAP, ONR, OVWST |
Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
463 |
Permanent link to this record |
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Author |
Morey, S.L.; Dukhovskoy, D.S.; Bourassa, M.A. |
Title |
Connectivity of the Apalachicola River flow variability and the physical and bio-optical oceanic properties of the northern West Florida Shelf |
Type |
$loc['typeJournal Article'] |
Year |
2009 |
Publication |
Continental Shelf Research |
Abbreviated Journal |
Continental Shelf Research |
Volume |
29 |
Issue |
9 |
Pages |
1264-1275 |
Keywords |
River plumes; Climate variability; Ocean color; West Florida Shelf; Apalachicola River |
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Series Issue |
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Edition |
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ISSN |
0278-4343 |
ISBN |
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Medium |
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Conference |
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Funding |
NASA, OVWST |
Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
393 |
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Author |
Krishnamurti, T.N.; Jana, S.; Krishnamurti, R.; Kumar, V.; Deepa, R.; Papa, F.; Bourassa, M.A.; Ali, M.M. |
Title |
Monsoonal intraseasonal oscillations in the ocean heat content over the surface layers of the Bay of Bengal |
Type |
$loc['typeJournal Article'] |
Year |
2017 |
Publication |
Journal of Marine Systems |
Abbreviated Journal |
Journal of Marine Systems |
Volume |
167 |
Issue |
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Pages |
19-32 |
Keywords |
Intraseasonal oscillations; Ocean heat content; Bay of Bengal |
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Edition |
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ISSN |
0924-7963 |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
64 |
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Author |
Nedbor-Gross, R.; Dukhovskoy, D.S.; Bourassa, M.A.; Morey, S.L.; Chassignet, E.P. |
Title |
Investigation of the Relationship Between the Yucatan Channel Transport and the Loop Current Area in a Multidecadal Numerical Simulation |
Type |
$loc['typeJournal Article'] |
Year |
2014 |
Publication |
Marine Technology Society Journal |
Abbreviated Journal |
Mar Technol Soc J |
Volume |
48 |
Issue |
4 |
Pages |
15-26 |
Keywords |
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Abstract |
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Corporate Author |
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Publisher |
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Place of Publication |
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Editor |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
0025-3324 |
ISBN |
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Medium |
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Area |
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Expedition |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
145 |
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Author |
Wentz, F.J.; Ricciardulli, L.; Rodriguez, E.; Stiles, B.W.; Bourassa, M.A.; Long, D.G.; Hoffman, R.N.; Stoffelen, A.; Verhoef, A.; O'Neill, L.W.; Farrar, J.T.; Vandemark, D.; Fore, A.G.; Hristova-Veleva, S.M.; Turk, F.J.; Gaston, R.; Tyler, D. |
Title |
Evaluating and Extending the Ocean Wind Climate Data Record |
Type |
$loc['typeJournal Article'] |
Year |
2017 |
Publication |
IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing |
Abbreviated Journal |
IEEE J Sel Top Appl Earth Obs Remote Sens |
Volume |
10 |
Issue |
5 |
Pages |
2165-2185 |
Keywords |
Radar cross section; remote sensing; satellite applications; sea surface; wind |
Abstract |
Satellite microwave sensors, both active scatterometers and passive radiometers, have been systematically measuring near-surface ocean winds for nearly 40 years, establishing an important legacy in studying and monitoring weather and climate variability. As an aid to such activities, the various wind datasets are being intercalibrated and merged into consistent climate data records (CDRs). The ocean wind CDRs (OW-CDRs) are evaluated by comparisons with ocean buoys and intercomparisons among the different satellite sensors and among the different data providers. Extending the OW-CDR into the future requires exploiting all available datasets, such as OSCAT-2 scheduled to launch in July 2016. Three planned methods of calibrating the OSCAT-2 sigmao measurements include 1) direct Ku-band sigmao intercalibration to QuikSCAT and RapidScat; 2) multisensor wind speed intercalibration; and 3) calibration to stable rainforest targets. Unfortunately, RapidScat failed in August 2016 and cannot be used to directly calibrate OSCAT-2. A particular future continuity concern is the absence of scheduled new or continuation radiometer missions capable of measuring wind speed. Specialized model assimilations provide 30-year long high temporal/spatial resolution wind vector grids that composite the satellite wind information from OW-CDRs of multiple satellites viewing the Earth at different local times. |
Address |
Jet Propulsion Laboratory, Pasadena, CA 91109 USA |
Corporate Author |
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Thesis |
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Publisher |
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Place of Publication |
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Editor |
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Language |
English |
Summary Language |
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Original Title |
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Series Editor |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
1939-1404 |
ISBN |
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Conference |
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Funding |
PMID:28824741; PMCID:PMC5562405 |
Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
68 |
Permanent link to this record |
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Author |
Fairall, C.W., Barnier, B., Berry, D.I, Bourassa, M.A., Bradley, E.F., Clayson, C.A., de Leeuw, G., Drennan, W.M., Gille, S.T., Gulev, S.K., Kent, E.C., McGillis, W.R., Quartly, G.D., Ryabinin, V., Smith, S.R., Weller, R.A., Yelland, M.J. and Zhang, H-M. |
Title |
Observations to Quantify Air-Sea Fluxes and Their Role in Climate Variability and Predictability |
Type |
$loc['typeConference Article'] |
Year |
2010 |
Publication |
Proceedings of OceanObs'09: Sustained Ocean Observations and Information for Society, Vol. 2 |
Abbreviated Journal |
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Volume |
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Issue |
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Pages |
299-313 |
Keywords |
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Abstract |
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Address |
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Corporate Author |
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Publisher |
European Space Agency |
Place of Publication |
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Editor |
Hall, J., Harrison, D.E. and Stammer, D. (eds.) |
Language |
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Series Editor |
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Edition |
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ISSN |
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ISBN |
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Area |
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Expedition |
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Conference |
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Funding |
NOAA, COD, NASA, NEWS |
Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
270 |
Permanent link to this record |
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Author |
Armstrong, E.M.; Bourassa, M.A.; Cram, T.A.; DeBellis, M.; Elya, J.; Greguska III, F.R.; Huang, T.; Jacob, J.C.; Ji, Z.; Jiang, Y.; Li, Y.; Quach, N.; McGibbney, L.; Smith, S.; Tsontos, V.M.; Wilson, B.; Worley, S.J.; Yang, C.; Yam, E. |
Title |
An Integrated Data Analytics Platform |
Type |
$loc['typeJournal Article'] |
Year |
2019 |
Publication |
Frontiers in Marine Science |
Abbreviated Journal |
Front. Mar. Sci. |
Volume |
6 |
Issue |
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Pages |
354 |
Keywords |
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Abstract |
An Integrated Science Data Analytics Platform is an environment that enables the confluence of resources for scientific investigation. It harmonizes data, tools and computational resources to enable the research community to focus on the investigation rather than spending time on security, data preparation, management, etc. OceanWorks is a NASA technology integration project to establish a cloud-based Integrated Ocean Science Data Analytics Platform for big ocean science at NASA’s Physical Oceanography Distributed Active Archive Center (PO.DAAC) for big ocean science. It focuses on advancement and maturity by bringing together several NASA open-source, big data projects for parallel analytics, anomaly detection, in situ to satellite data matchup, quality-screened data subsetting, search relevancy, and data discovery. Our communities are relying on data available through distributed data centers to conduct their research. In typical investigations, scientists would (1) search for data, (2) evaluate the relevance of that data, (3) download it, and (4) then apply algorithms to identify trends, anomalies, or other attributes of the data. Such a workflow cannot scale if the research involves a massive amount of data or multi-variate measurements. With the upcoming NASA Surface Water and Ocean Topography (SWOT) mission expected to produce over 20PB of observational data during its 3-year nominal mission, the volume of data will challenge all existing Earth Science data archival, distribution and analysis paradigms. This paper discusses how OceanWorks enhances the analysis of physical ocean data where the computation is done on an elastic cloud platform next to the archive to deliver fast, web-accessible services for working with oceanographic measurements. |
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Original Title |
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Series Editor |
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Series Title |
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Abbreviated Series Title |
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Series Volume |
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Series Issue |
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Edition |
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ISSN |
2296-7745 |
ISBN |
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Medium |
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Funding |
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Approved |
$loc['no'] |
Call Number |
COAPS @ user @ |
Serial |
1042 |
Permanent link to this record |
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Author |
Villas Bôas, A.B.; Ardhuin, F.; Ayet, A.; Bourassa, M.A.; Brandt, P.; Chapron, B.; Cornuelle, B.D.; Farrar, J.T.; Fewings, M.R.; Fox-Kemper, B.; Gille, S.T.; Gommenginger, C.; Heimbach, P.; Hell, M.C.; Li, Q.; Mazloff, M.R.; Merrifield, S.T.; Mouche, A.; Rio, M.H.; Rodriguez, E.; Shutler, J.D.; Subramanian, A.C.; Terrill, E.J.; Tsamados, M.; Ubelmann, C.; van Sebille, E. |
Title |
Integrated Observations of Global Surface Winds, Currents, and Waves: Requirements and Challenges for the Next Decade |
Type |
$loc['typeJournal Article'] |
Year |
2019 |
Publication |
Frontiers in Marine Science |
Abbreviated Journal |
Front. Mar. Sci. |
Volume |
6 |
Issue |
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Pages |
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Keywords |
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Abstract |
Ocean surface winds, currents, and waves play a crucial role in exchanges of momentum, energy, heat, freshwater, gases, and other tracers between the ocean, atmosphere, and ice. Despite surface waves being strongly coupled to the upper ocean circulation and the overlying atmosphere, efforts to improve ocean, atmospheric, and wave observations and models have evolved somewhat independently. From an observational point of view, community efforts to bridge this gap have led to proposals for satellite Doppler oceanography mission concepts, which could provide unprecedented measurements of absolute surface velocity and directional wave spectrum at global scales. This paper reviews the present state of observations of surface winds, currents, and waves, and it outlines observational gaps that limit our current understanding of coupled processes that happen at the air-sea-ice interface. A significant challenge for the coming decade of wind, current, and wave observations will come in combining and interpreting measurements from (a) wave-buoys and high-frequency radars in coastal regions, (b) surface drifters and wave-enabled drifters in the open-ocean, marginal ice zones, and wave-current interaction �hot-spots,� and (c) simultaneous measurements of absolute surface currents, ocean surface wind vector, and directional wave spectrum from Doppler satellite sensors. |
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Series Editor |
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Series Title |
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Series Issue |
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Edition |
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ISSN |
2296-7745 |
ISBN |
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Approved |
$loc['no'] |
Call Number |
COAPS @ user @ |
Serial |
1064 |
Permanent link to this record |
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Author |
Huang, T.; Armstrong, E.M.; Bourassa, M.A.; Cram, T.A.; Elya, J.; Greguska, F.; Jacob, J.C.; Ji, Z.; Jiang, Y.; Li, Y.; Quach, N.T.; McGibbney, L.J.; Smith, S.R.; Wilson, B.D.; Worley S.J.; Yang, C. |
Title |
An Integrated Data Analytics Platform |
Type |
$loc['typeJournal Article'] |
Year |
2019 |
Publication |
Marine Science |
Abbreviated Journal |
Mar. Sci. |
Volume |
6 |
Issue |
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Pages |
|
Keywords |
big data, Cloud computing, Ocean science, data analysis, Matchup, anomaly detection, open source |
Abstract |
An Integrated Science Data Analytics Platform is an environment that enables the confluence of resources for scientific investigation. It harmonizes data, tools and computational resources to enable the research community to focus on the investigation rather than spending time on security, data preparation, management, etc. OceanWorks is a NASA technology integration project to establish a cloud-based Integrated Ocean Science Data Analytics Platform for big ocean science at NASA�s Physical Oceanography Distributed Active Archive Center (PO.DAAC) for big ocean science. It focuses on advancement and maturity by bringing together several NASA open-source, big data projects for parallel analytics, anomaly detection, in situ to satellite data matchup, quality-screened data subsetting, search relevancy, and data discovery.
Our communities are relying on data available through distributed data centers to conduct their research. In typical investigations, scientists would (1) search for data, (2) evaluate the relevance of that data, (3) download it, and (4) then apply algorithms to identify trends, anomalies, or other attributes of the data. Such a workflow cannot scale if the research involves a massive amount of data or multi-variate measurements. With the upcoming NASA Surface Water and Ocean Topography (SWOT) mission expected to produce over 20PB of observational data during its 3-year nominal mission, the volume of data will challenge all existing Earth Science data archival, distribution and analysis paradigms. This paper discusses how OceanWorks enhances the analysis of physical ocean data where the computation is done on an elastic cloud platform next to the archive to deliver fast, web-accessible services for working with oceanographic measurements. |
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$loc['no'] |
Call Number |
COAPS @ user @ |
Serial |
1038 |
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