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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 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 | ||||
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| 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 | ||||
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| 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 | ||||
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| 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 | ||||
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| 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 | ||||
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| 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 | ||||
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| 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. | ||||
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| 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 | |||
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| 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 | |
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| Funding | Approved | $loc['no'] | |||
| Call Number | COAPS @ mfield @ | Serial | 575 | ||
| Permanent link to this record | |||||
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