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Article: Ocean Surface Current Inversion Method for a Doppler Scatterometer

TitleOcean Surface Current Inversion Method for a Doppler Scatterometer
Authors
Keywordsmaximum likelihood estimation (MLE)
Doppler Scatterometer (DopScat)
measurement accuracy
ocean surface current inversion
Issue Date2017
Citation
IEEE Transactions on Geoscience and Remote Sensing, 2017, v. 55, n. 11, p. 6505-6516 How to Cite?
Abstract© 1980-2012 IEEE. The ocean surface current is a very important parameter of ocean dynamic environment. It is connected to global climate change, marine environment forecasting, marine navigation, engineering security, and so on. The observation and prediction of ocean surface current have attracted more and more concern. Doppler Scatterometer (DopScat) is a new type of radar for ocean surface wind and current field remote sensing. The ocean surface current inversion method of DopScat impacts the measurement accuracy directly. In this paper, we establish the simulation model of a DopScat and provide the radial velocity error model. The numerical ocean surface Doppler spectrum model is also introduced and validated with the empirical geophysical model function in C-band (CDOP). The suitable ocean wave elevation spectrum and directional distribution function are selected. What is more, this paper establishes the maximum likelihood estimation (MLE) method to retrieve the ocean surface current and wind simultaneously. The retrieval accuracy for different positions in cross track, different wind speeds, and different current speeds are analyzed. At last, the global ocean current field is observed by DopScat and the ocean current is retrieved. In our simulation, the orbit parameters and observation geometry of DopScat are the same as that of HY-2A scatterometer. The retrieval results show that global current speed standard deviation can be smaller than 0.18 m/s for five days and 0.5 ° ×0.5 ° grid average.
Persistent Identifierhttp://hdl.handle.net/10722/296834
ISSN
2023 Impact Factor: 7.5
2023 SCImago Journal Rankings: 2.403
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorBao, Qingliu-
dc.contributor.authorLin, Mingsen-
dc.contributor.authorZhang, Youguang-
dc.contributor.authorDong, Xiaolong-
dc.contributor.authorLang, Shuyan-
dc.contributor.authorGong, Peng-
dc.date.accessioned2021-02-25T15:16:47Z-
dc.date.available2021-02-25T15:16:47Z-
dc.date.issued2017-
dc.identifier.citationIEEE Transactions on Geoscience and Remote Sensing, 2017, v. 55, n. 11, p. 6505-6516-
dc.identifier.issn0196-2892-
dc.identifier.urihttp://hdl.handle.net/10722/296834-
dc.description.abstract© 1980-2012 IEEE. The ocean surface current is a very important parameter of ocean dynamic environment. It is connected to global climate change, marine environment forecasting, marine navigation, engineering security, and so on. The observation and prediction of ocean surface current have attracted more and more concern. Doppler Scatterometer (DopScat) is a new type of radar for ocean surface wind and current field remote sensing. The ocean surface current inversion method of DopScat impacts the measurement accuracy directly. In this paper, we establish the simulation model of a DopScat and provide the radial velocity error model. The numerical ocean surface Doppler spectrum model is also introduced and validated with the empirical geophysical model function in C-band (CDOP). The suitable ocean wave elevation spectrum and directional distribution function are selected. What is more, this paper establishes the maximum likelihood estimation (MLE) method to retrieve the ocean surface current and wind simultaneously. The retrieval accuracy for different positions in cross track, different wind speeds, and different current speeds are analyzed. At last, the global ocean current field is observed by DopScat and the ocean current is retrieved. In our simulation, the orbit parameters and observation geometry of DopScat are the same as that of HY-2A scatterometer. The retrieval results show that global current speed standard deviation can be smaller than 0.18 m/s for five days and 0.5 ° ×0.5 ° grid average.-
dc.languageeng-
dc.relation.ispartofIEEE Transactions on Geoscience and Remote Sensing-
dc.subjectmaximum likelihood estimation (MLE)-
dc.subjectDoppler Scatterometer (DopScat)-
dc.subjectmeasurement accuracy-
dc.subjectocean surface current inversion-
dc.titleOcean Surface Current Inversion Method for a Doppler Scatterometer-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1109/TGRS.2017.2728824-
dc.identifier.scopuseid_2-s2.0-85028957220-
dc.identifier.volume55-
dc.identifier.issue11-
dc.identifier.spage6505-
dc.identifier.epage6516-
dc.identifier.isiWOS:000413656900039-
dc.identifier.issnl0196-2892-

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