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Applications of SMAP data to retrieval of ocean surface wind and salinity

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dc.contributor.author Yueh, Simon
dc.contributor.author Fore, Alexander
dc.contributor.author Tang, Wenqing
dc.contributor.author Hayashi, Akiko
dc.contributor.author Stiles, Bryan
dc.contributor.author Zhang, Fuqing
dc.contributor.author Weng, Yonghui
dc.contributor.author Reul, Nicolas
dc.date.accessioned 2019-05-30T19:48:18Z
dc.date.available 2019-05-30T19:48:18Z
dc.date.issued 2016-09-26
dc.identifier.citation SPIE Remote Sensing 2016, Edinburgh, Scotland, September 26-29, 2016 en_US
dc.identifier.clearanceno 16-3742
dc.identifier.uri http://hdl.handle.net/2014/46196
dc.description.abstract We have examined the L-band radiometer and radar data from NASA’s Soil Moisture Active Passive (SMAP) mission for ocean research and applications. We find that the SMAP data are in excellent agreement with the geophysical model function (GMF) derived from the Aquarius data up to a wind speed of 20 ms-1. For severe wind conditions, the higher resolution data from SMAP allowed us to assess the sensitivity of L-band radiometer signals to hurricane force winds. We applied the L-band GMF to the retrieval of ocean surface wind and SSS from the SMAP data. Comparison with the European Center for Medium-Range Weather Forecasting, WindSat and RapidSCAT wind speeds suggests that SMAP’s radiometer wind speed reaches an excellent accuracy of about 1.1-1.7 ms-1 below a wind speed of 20 ms-1. We have also found that the maximum wind speed derived from the SMAP radiometer data can reach 140 knots for severe storms and are generally in good agreement with the hurricane track analysis and operational aircraft Stepped Frequency Microwave Radiometer wind speeds. The spatial patterns of the SMAP SSS agree well with climatological distributions, but exhibit several unique spatial and temporal features. en_US
dc.description.sponsorship NASA/JPL en_US
dc.language.iso en_US en_US
dc.publisher Pasadena, CA: Jet Propulsion Laboratory, National Aeronautics and Space Administration, 2016 en_US
dc.subject hurricane en_US
dc.subject microwave remote sensing en_US
dc.subject ocean surface wind en_US
dc.subject sea surface salinity en_US
dc.subject radar en_US
dc.subject radiometer en_US
dc.title Applications of SMAP data to retrieval of ocean surface wind and salinity en_US
dc.type Preprint en_US


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