Records |
Author  |
Lombardi, K. C. |
Title |
Resolving the Diurnal and Synoptic Variance of Scatterometer Vector Wind Observations |
Type |
$loc['typeManuscript'] |
Year |
2004 |
Publication |
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Abbreviated Journal |
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Volume |
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Issue |
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Pages |
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Keywords |
Rotary Spectra, Least Squares Regression, QSCAT, Midori2, Oceanic Winds |
Abstract |
Scatterometer observations of vector winds are used to examine the amplitudes of synoptic and diurnal cycles. Scatterometers have the advantage of providing global coverage over water; however, irregular temporal sampling complicates the analyses. A least squares technique is used in determination of the amplitudes and phases of the diurnal and synoptic cycles on spatial scales of 5°, 15°, and 30°. In open ocean areas and regions with sufficient open water, the magnitudes of the diurnal and synoptic cycles are 1.0 ms-1 and 3.5ms-1, respectively. Diurnal amplitudes are highest in the polar regions and close to land surfaces due to sea breeze effects. The fraction of variance explained by the diurnal cycle is greatest near the equator. Synoptic amplitudes are consistently larger downwind of land from storm tracks and in the southern polar region as the time analyzed is during the southern winter season. |
Address |
Department of Meteorology |
Corporate Author |
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Thesis |
$loc['Master's thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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Funding |
NASA, OSU |
Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
624 |
Permanent link to this record |
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Author  |
May, J |
Title |
Quantifying Variance Due to Temporal and Spatial Difference Between Ship and Satellite Winds |
Type |
$loc['typeManuscript'] |
Year |
2010 |
Publication |
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Abbreviated Journal |
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Issue |
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Pages |
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Keywords |
QuikSCAT, Winds, SAMOS, Error variance, Collocation |
Abstract |
Ocean vector winds measured by the SeaWinds scatterometer onboard the QuikSCAT satellite can be validated with in situ data. Ideally the comparison in situ data would be collocated in both time and space to the satellite overpass; however, this is rarely the case because of the time sampling interval of the in situ data and the sparseness of data. To compensate for the lack of ideal collocations, in situ data that are within a certain time and space range of the satellite overpass are used for comparisons. To determine the total amount of random observational error, additional uncertainty from the temporal and spatial difference must be considered along with the uncertainty associated with the data sets. The purpose of this study is to quantify the amount of error associated with the two data sets, as well as the amount of error associated with the temporal and/or spatial difference between two observations. The variance associated with a temporal difference between two observations is initially examined in an idealized case that includes only Shipboard Automated Meteorological and Oceanographic System (SAMOS) one-minute data. Temporal differences can be translated into spatial differences by using Taylor's hypothesis. The results show that as the time difference increases, the amount of variance increases. Higher wind speeds are also associated with a larger amount of variance. Collocated SeaWinds and SAMOS observations are used to determine the total variance associated with a temporal (equivalent) difference from 0 to 60 minutes. If the combined temporal and spatial difference is less than 25 minutes (equivalent), the variance associated with the temporal and spatial difference is offset by the observational errors, which are approximately 1.0 m2s-2 for wind speeds between 4 and 7 ms-1 and approximately 1.5 m2s-2 for wind speeds between 7 and 12 ms-1. If the combined temporal and spatial difference is greater than 25 minutes (equivalent), then the variance associated with the temporal and spatial difference is no longer offset by the variance associated with observational error in the data sets; therefore, the total variance gradually increases as the time difference increases. |
Address |
Department of Earth Ocean and Atmospheric Science |
Corporate Author |
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Thesis |
$loc['Master's thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
575 |
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Author  |
Nguyen, T. T. |
Title |
Variability of Cross-Slope Flow in the Desoto Canyon Region |
Type |
$loc['typeManuscript'] |
Year |
2014 |
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Keywords |
cross-slope flow; DeSoto Canyon region; Loop Current's impact; mesoscale circulation; upwelling and downwelling; wind-driven upwelling |
Abstract |
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Address |
Department of Earth, Ocean, and Atmospheric Science |
Corporate Author |
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Thesis |
$loc['Master's thesis'] |
Publisher |
Florida State University |
Place of Publication |
Tallahassee, FL |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
167 |
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Author  |
Nof, D.; Jia, Y.; Chassignet, E.; Bozec, A. |
Title |
Fast Wind-Induced Migration of Leddies in the South China Sea |
Type |
$loc['typeJournal Article'] |
Year |
2011 |
Publication |
Journal of Physical Oceanography |
Abbreviated Journal |
J. Phys. Oceanogr. |
Volume |
41 |
Issue |
9 |
Pages |
1683-1693 |
Keywords |
Eddies; Seas; gulfs; bays; Wind stress; Numerical analysis/modeling; Monsoons |
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ISSN |
0022-3670 |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
324 |
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Author  |
Nyadjro, E.S.; Jensen, T.G.; Richman, J.G.; Shriver, J.F. |
Title |
On the Relationship Between Wind, SST, and the Thermocline in the Seychelles-Chagos Thermocline Ridge |
Type |
$loc['typeJournal Article'] |
Year |
2017 |
Publication |
IEEE Geoscience and Remote Sensing Letters |
Abbreviated Journal |
IEEE Geosci. Remote Sensing Lett. |
Volume |
14 |
Issue |
12 |
Pages |
2315-2319 |
Keywords |
Altimetry; HYbrid Coordinate Ocean Model (HYCOM); Indian Ocean Dipole (IOD); ocean-atmosphere coupling; Rossby waves; sea surface temperature (SST); thermocline depth; winds |
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Edition |
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ISSN |
1545-598X |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
465 |
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Author  |
Paget, A.C.; Bourassa, M.A.; Anguelova, M.D. |
Title |
Comparing in situ and satellite-based parameterizations of oceanic whitecaps |
Type |
$loc['typeJournal Article'] |
Year |
2015 |
Publication |
Journal of Geophysical Research: Oceans |
Abbreviated Journal |
J. Geophys. Res. Oceans |
Volume |
120 |
Issue |
4 |
Pages |
2826-2843 |
Keywords |
whitecap fraction; foam fraction; whitecap coverage; breaking waves; actively breaking waves; air-sea interaction processes; in situ whitecap observations scatterometers; QuikSCAT; WindSat; microwave radiometry; passive remote sensing; satellite oceanography |
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ISSN |
2169-9275 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
108 |
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Author  |
Smith, S.R.; Lopez, N.; Bourassa, M.A. |
Title |
SAMOS air-sea fluxes: 2005-2014 |
Type |
$loc['typeJournal Article'] |
Year |
2016 |
Publication |
Geoscience Data Journal |
Abbreviated Journal |
Geosci. Data J. |
Volume |
3 |
Issue |
1 |
Pages |
9-19 |
Keywords |
air-sea flux; marine meteorology; marine climatology; heat flux; wind stress |
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ISSN |
2049-6060 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
52 |
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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 |
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Language |
English |
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ISSN |
1939-1404 |
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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  |
Yu, L.; Jin, X. |
Title |
Confidence and sensitivity study of the OAFlux multisensor synthesis of the global ocean surface vector wind from 1987 onward |
Type |
$loc['typeJournal Article'] |
Year |
2014 |
Publication |
Journal of Geophysical Research: Oceans |
Abbreviated Journal |
J. Geophys. Res. Oceans |
Volume |
119 |
Issue |
10 |
Pages |
6842-6862 |
Keywords |
remote sensing of ocean surface winds; scatterometer; passive microwave radiometer; error analysis |
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Series Editor |
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ISSN |
2169-9275 |
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$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
172 |
Permanent link to this record |
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Author  |
Yu, L.; Jin, X. |
Title |
Insights on the OAFlux ocean surface vector wind analysis merged from scatterometers and passive microwave radiometers (1987 onward) |
Type |
$loc['typeJournal Article'] |
Year |
2014 |
Publication |
Journal of Geophysical Research: Oceans |
Abbreviated Journal |
J. Geophys. Res. Oceans |
Volume |
119 |
Issue |
8 |
Pages |
5244-5269 |
Keywords |
remote sensing; climate record of ocean surface vector wind; scatterometer; passive microwave radiometer; mesoscale air-sea interaction |
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ISSN |
2169-9275 |
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Approved |
$loc['no'] |
Call Number |
COAPS @ mfield @ |
Serial |
173 |
Permanent link to this record |