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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
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2169-9275
ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 172
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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
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 2169-9275
ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 108
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Author Bourassa, M.A. ; Legler, D.M. ; O'Brien, J.J. ; Smith, S.R.
Title SeaWinds validation with research vessels Type $loc['typeJournal Article']
Year 2003 Publication Journal of Geophysical Research: Oceans Abbreviated Journal J. Geophys. Res.
Volume 108
Issue C2
Pages
Keywords remote sensing ; SeaWinds ; validation ; ocean ; winds
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0148-0227
ISBN Medium
Area Expedition Conference
Funding NASA, NSF, ONR
Approved $loc['no']
Call Number COAPS @ mfield @
Serial 484
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Author Hilburn, K.A.
Title Development of scatterometer-derived surface pressures for the Southern Ocean Type $loc['typeJournal Article']
Year 2003 Publication Journal of Geophysical Research Abbreviated Journal J. Geophys. Res.
Volume 108
Issue C7
Pages
Keywords scatterometer ; surface pressure ; variational techniques ; Southern Ocean ; SeaWinds ; QuikSCAT
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0148-0227
ISBN Medium
Area Expedition Conference
Funding NASA, NOAA, ONR
Approved $loc['no']
Call Number COAPS @ mfield @
Serial 477
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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
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 1545-598X
ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 465
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Author Bourassa, MA ; Weissman, DE
Title The development and application of a sea surface stress model function for the QuikSCAT and ADEOS-II SeaWinds scatterometers Type $loc['typeConference Article']
Year 2003 Publication IEEE International Symposium on Geoscience and Remote Sensing (IGARSS) Abbreviated Journal
Volume Issue Pages 239-241
Keywords component ; surface stress ; SeaWinds ; scatterometer ; validation
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference 23rd International Geoscience and Remote Sensing Symposium (IGARSS 2003)
Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 485
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Author Dukhovskoy, D ; Bourassa, M
Title Comparison of ocean surface wind products in the perspective of ocean modeling of the Nordic Seas Type $loc['typeConference Article']
Year 2011 Publication OCEANS 2011 Abbreviated Journal
Volume Issue Pages
Keywords scatterometer winds ; Arctic Ocean ; ocean modeling
Abstract
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference MTS/IEEE OCEANS Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 315
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Author Hoffman, R.N. ; Privé, N. ; Bourassa, M.
Title Comments on “Reanalyses and Observations: What's the Difference?” Type $loc['typeJournal Article']
Year 2017 Publication Bulletin of the American Meteorological Society Abbreviated Journal Bull. Amer. Meteor. Soc.
Volume 98
Issue 11
Pages 2455-2459
Keywords GEOPHYSICAL DATA ; marine surface winds ; energy and water cycles
Abstract Are there important differences between reanalysis data and familiar observations and measurements? If so, what are they? This essay evaluates four possible answers that relate to: the role of inference, reliance on forecasts, the need to solve an ill-posed inverse problem, and understanding of errors and uncertainties. The last of these is argued to be most significant. The importance of characterizing uncertainties associated with results—whether those results are observations or measurements, analyses or reanalyses, or forecasts—is emphasized.
Address
Corporate Author Thesis
Publisher Place of Publication Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN 0003-0007
ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ rl18 @
Serial 990
Permanent link to this record
Author Lombardi, K. C.
Title Resolving the Diurnal and Synoptic Variance of Scatterometer Vector Wind Observations Type $loc['typeManuscript']
Year 2004 Publication Abbreviated Journal
Volume Issue Pages
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 Thesis $loc['Master's thesis']
Publisher Florida State University
Place of Publication Tallahassee, FL
Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Funding NASA, OSU
Approved $loc['no']
Call Number COAPS @ mfield @
Serial 624
Permanent link to this record
Author May, J
Title Quantifying Variance Due to Temporal and Spatial Difference Between Ship and Satellite Winds Type $loc['typeManuscript']
Year 2010 Publication Abbreviated Journal
Volume Issue Pages
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 Thesis $loc['Master's thesis']
Publisher Florida State University
Place of Publication Tallahassee, FL
Editor
Language Summary Language Original Title
Series Editor Series Title Abbreviated Series Title
Series Volume Series Issue Edition
ISSN ISBN Medium
Area Expedition Conference
Funding Approved $loc['no']
Call Number COAPS @ mfield @
Serial 575
Permanent link to this record
