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dc.contributor.authorYu, Lisan  Concept link
dc.contributor.authorJin, Xiangze  Concept link
dc.date.accessioned2015-01-07T19:45:16Z
dc.date.available2015-04-15T09:06:42Z
dc.date.issued2014-10-15
dc.identifier.citationJournal of Geophysical Research: Oceans 119 (2014): 6842–6862en_US
dc.identifier.urihttps://hdl.handle.net/1912/7022
dc.descriptionAuthor Posting. © American Geophysical Union, 2014. This article is posted here by permission of American Geophysical Union for personal use, not for redistribution. The definitive version was published in Journal of Geophysical Research: Oceans 119 (2014): 6842–6862, doi:10.1002/2014JC010194.en_US
dc.description.abstractThis study presented an uncertainty assessment of the high-resolution global analysis of daily-mean ocean-surface vector winds (1987 onward) by the Objectively Analyzed air-sea Fluxes (OAFlux) project. The time series was synthesized from multiple satellite sensors using a variational approach to find a best fit to input data in a weighted least-squares cost function. The variational framework requires the a priori specification of the weights, or equivalently, the error covariances of input data, which are seldom known. Two key issues were investigated. The first issue examined the specification of the weights for the OAFlux synthesis. This was achieved by designing a set of weight-varying experiments and applying the criteria requiring that the chosen weights should make the best-fit of the cost function be optimal with regard to both input satellite observations and the independent wind time series measurements at 126 buoy locations. The weights thus determined represent an approximation to the error covariances, which inevitably contain a degree of uncertainty. Hence, the second issue addressed the sensitivity of the OAFlux synthesis to the uncertainty in the weight assignments. Weight perturbation experiments were conducted and ensemble statistics were used to estimate the sensitivity. The study showed that the leading sources of uncertainty for the weight selection are high winds (>15 ms−1) and heavy rain, which are the conditions that cause divergence in wind retrievals from different sensors. Future technical advancement made in wind retrieval algorithms would be key to further improvement of the multisensory synthesis in events of severe storms.en_US
dc.description.sponsorshipThe project is sponsored by the NASA Ocean Vector Wind Science Team (OVWST) activities under grant NNA10AO86G. The database of 126 buoys was established during the development of the OAFlux surface turbulent latent and sensible heat fluxes under the auspices of the NOAA grant NA09OAR4320129.en_US
dc.format.mimetypeapplication/pdf
dc.language.isoen_USen_US
dc.publisherJohn Wiley & Sonsen_US
dc.relation.urihttps://doi.org/10.1002/2014JC010194
dc.subjectRemote sensing of ocean surface windsen_US
dc.subjectScatterometeren_US
dc.subjectPassive microwave radiometeren_US
dc.subjectError analysisen_US
dc.titleConfidence and sensitivity study of the OAFlux multisensor synthesis of the global ocean surface vector wind from 1987 onwarden_US
dc.typeArticleen_US
dc.description.embargo2015-04-15en_US
dc.identifier.doi10.1002/2014JC010194


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