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| Author | Nguyen, T. T. | ||||
| Title | Variability of Cross-Slope Flow in the Desoto Canyon Region | Type | $loc['typeManuscript'] | ||
| Year | 2014 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | |||
| Keywords | cross-slope flow; DeSoto Canyon region; Loop Current's impact; mesoscale circulation; upwelling and downwelling; wind-driven upwelling | ||||
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| Address | Department of Earth, Ocean, and Atmospheric Science | ||||
| Corporate Author | Thesis | $loc['Master's thesis'] | |||
| Publisher | Florida State University | Place of Publication | Tallahassee, FL | Editor | |
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| Series Volume | Series Issue | Edition | |||
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| Area | Expedition | Conference | |||
| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 167 | ||
| Permanent link to this record | |||||
| 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 | ||||
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| Language | English | Summary Language | Original Title | ||
| Series Editor | Series Title | Abbreviated Series Title | |||
| Series Volume | Series Issue | Edition | |||
| ISSN | 1939-1404 | ISBN | Medium | ||
| Area | Expedition | Conference | |||
| Funding | PMID:28824741; PMCID:PMC5562405 | Approved | $loc['no'] | ||
| Call Number | COAPS @ mfield @ | Serial | 68 | ||
| Permanent link to this record | |||||
| Author | Bourassa, M.A., and P.J. Hughes | ||||
| Title | Surface Heat Fluxes and Wind Remote Sensing | Type | $loc['typeBook Chapter'] | ||
| Year | 2018 | Publication | Abbreviated Journal | ||
| Volume | Issue | Pages | 245-270 | ||
| Keywords | HEAT; OCEAN SURFACE; WINDS; SCATTEROMETERS; FLUXE; STRESS; RESPONSES | ||||
| Abstract | The exchange of heat and momentum through the air-sea surface are critical aspects of ocean forcing and ocean modeling. Over most of the global oceans, there are few in situ observations that can be used to estimate these fluxes. This chapter provides background on the calculation and application of air-sea fluxes, as well as the use of remote sensing to calculate these fluxes. Wind variability makes a large contribution to variability in surface fluxes, and the remote sensing of winds is relatively mature compared to the air sea differences in temperature and humidity, which are the other key variables. Therefore, the remote sensing of wind is presented in greater detail. These details enable the reader to understand how the improper use of satellite winds can result in regional and seasonal biases in fluxes, and how to calculate fluxes in a manner that removes these biases. Examples are given of high-resolution applications of fluxes, which are used to indicate the strengths and weakness of satellite-based calculations of ocean surface fluxes. | ||||
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| Publisher | GODAE OceanView | Place of Publication | Tallahassee, FL | Editor | Chassignet, E. P., A. Pascual, J. Tintoré, and J. Verron |
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ user @ | Serial | 947 | ||
| Permanent link to this record | |||||
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