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- Publisher Website: 10.1109/IGARSS.2016.7730205
- Scopus: eid_2-s2.0-85007442968
- WOS: WOS:000388114604146
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Conference Paper: Sea surface wind speed inversion using low incident NRCS
Title | Sea surface wind speed inversion using low incident NRCS |
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Authors | |
Keywords | wind speed inversion mean square slop GMF model low incident angle NRCS |
Issue Date | 2016 |
Citation | International Geoscience and Remote Sensing Symposium (IGARSS), 2016, v. 2016-November, p. 4619-4622 How to Cite? |
Abstract | © 2016 IEEE. As the launch of radars, such as the Precipitation Radar (PR) on Tropical Rainfall Measuring Mission (TRMM)[1] satellite and the Surface Wave Investigation and Monitoring (SWIM) on China France Oceanography SATellite (CFOSAT)[2], that operate in low incident angles, more and more NRCS data at low incident angle will be obtained. In order to retrieve the sea surface wind speed using low incident angle NRCS, the empirical GMF of NRCS with wind speed is established. The empirical nadir reflection coefficient R(0)2 are calculated and the empirical relationship between mean square slop s(u) and wind speed is established. The mean square slop s(u) can be retrieved by fitting the NRCS at certain incident angles with the theoretical Gaussian GMF model. Then the wind speeds are calculated using the empirical corresponding relation between mean square slop and wind speed. The retrieved wind speeds are compared with Tao and NDBC buoy. The results show that the standard deviation (STD) and bias of retrieved wind speeds are smaller than 1.7m/s and 0.1m/s respectively. |
Persistent Identifier | http://hdl.handle.net/10722/296813 |
ISI Accession Number ID |
DC Field | Value | Language |
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dc.contributor.author | Bao, Qingliu | - |
dc.contributor.author | Zhang, Youguang | - |
dc.contributor.author | An, Wentao | - |
dc.contributor.author | Cui, Limin | - |
dc.contributor.author | Lang, Shuyan | - |
dc.contributor.author | Lin, Mingsen | - |
dc.contributor.author | Gong, Peng | - |
dc.date.accessioned | 2021-02-25T15:16:44Z | - |
dc.date.available | 2021-02-25T15:16:44Z | - |
dc.date.issued | 2016 | - |
dc.identifier.citation | International Geoscience and Remote Sensing Symposium (IGARSS), 2016, v. 2016-November, p. 4619-4622 | - |
dc.identifier.uri | http://hdl.handle.net/10722/296813 | - |
dc.description.abstract | © 2016 IEEE. As the launch of radars, such as the Precipitation Radar (PR) on Tropical Rainfall Measuring Mission (TRMM)[1] satellite and the Surface Wave Investigation and Monitoring (SWIM) on China France Oceanography SATellite (CFOSAT)[2], that operate in low incident angles, more and more NRCS data at low incident angle will be obtained. In order to retrieve the sea surface wind speed using low incident angle NRCS, the empirical GMF of NRCS with wind speed is established. The empirical nadir reflection coefficient R(0)2 are calculated and the empirical relationship between mean square slop s(u) and wind speed is established. The mean square slop s(u) can be retrieved by fitting the NRCS at certain incident angles with the theoretical Gaussian GMF model. Then the wind speeds are calculated using the empirical corresponding relation between mean square slop and wind speed. The retrieved wind speeds are compared with Tao and NDBC buoy. The results show that the standard deviation (STD) and bias of retrieved wind speeds are smaller than 1.7m/s and 0.1m/s respectively. | - |
dc.language | eng | - |
dc.relation.ispartof | International Geoscience and Remote Sensing Symposium (IGARSS) | - |
dc.subject | wind speed inversion | - |
dc.subject | mean square slop | - |
dc.subject | GMF model | - |
dc.subject | low incident angle NRCS | - |
dc.title | Sea surface wind speed inversion using low incident NRCS | - |
dc.type | Conference_Paper | - |
dc.description.nature | link_to_subscribed_fulltext | - |
dc.identifier.doi | 10.1109/IGARSS.2016.7730205 | - |
dc.identifier.scopus | eid_2-s2.0-85007442968 | - |
dc.identifier.volume | 2016-November | - |
dc.identifier.spage | 4619 | - |
dc.identifier.epage | 4622 | - |
dc.identifier.isi | WOS:000388114604146 | - |