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dc.contributor.authorPortabella, M.eng
dc.contributor.authorStoffelen, A.eng
dc.contributor.authorJohannessen, Johnny A.eng
dc.date.accessioned2005-10-04T07:43:48Z
dc.date.available2005-10-04T07:43:48Z
dc.date.issued2002-08-01eng
dc.identifier.citationJournal of Geophysical Research: Oceans 107(C8): 3086en
dc.identifier.issn0148-0227eng
dc.identifier.urihttp://hdl.handle.net/1956/819
dc.description.abstractIn recent years, particular efforts have been made to derive wind fields over the oceans from synthetic aperture radar (SAR) images. In contrast with the scatterometer, the SAR has a higher spatial resolution and therefore has the potential to provide higher resolution wind information. Since there are at least two geophysical parameters (wind speed and wind direction) modulating the single SAR backscatter measurements, the inversion of wind fields from SAR observations has an inherent problem of underdetermination. Moreover, this modulation is highly nonlinear, further complicating the inversion. Lorenc [1986] presented a general statistical approach to solve inversion problems (including underdetermined problems) in meteorological analysis. We propose a SAR wind retrieval method based on this general approach. This simplified method combines the SAR information with some background information coming from high-resolution limited area model to retrieve the most probable wind vector, assuming that all sources of information contain errors and that these are well characterized. We then evaluate two different SAR wind retrieval methods. The first one is commonly used by the SAR community and is based on a combination of a wind streak detection algorithm (wind direction retrieval) and a C band model inversion (wind speed retrieval). The second one is the new method we propose, based on the general statistical approach. We show the potential problems and limitations of using any of these methods and show how the second method can potentially contribute to a significant improvement in SAR wind retrieval. The new method prepares the ground for the assimilation of SAR data in high-resolution numerical weather prediction models.en
dc.format.extent564022 byteseng
dc.format.mimetypeapplication/pdfeng
dc.language.isoengeng
dc.publisherAmerican Geophysical Unioneng
dc.subjectMathematical Geophysicseng
dc.subjectMeteorologyeng
dc.subjectRemote sensingeng
dc.titleToward an optimal inversion method for synthetic aperture radar wind retrievaleng
dc.typeJournal articleeng
dc.rights.holderCopyright 2002 by the American Geophysical Union
dc.type.versionpublishedVersioneng
bora.peerreviewedPeer reviewedeng
bora.journalTitleJournal of Geophysical Research: Oceanseng
bibo.volume107eng
bibo.issueC8eng
bibo.doihttp://dx.doi.org/10.1029/2001JC000925eng
dc.identifier.doihttp://dx.doi.org/10.1029/2001JC000925


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