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A Sst-Dependent Geophysical Model Function For Hy-2a Microwave Scatterometer

2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)(2019)

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Abstract
Satellite scatterometer provides an effective approach to obtaining the ocean surface winds on a global scale. However, none of the geophysical model functions(GMF) currently used in wind retrieval takes the effect of sea surface temperature(SST) into account. Many experiments demonstrate that SST indeed have an impact on the behavior of the microwave backscatter of the ocean surface. This paper utilized the co-located backscatter coefficients from HY-2A scatterometer, re-analysis wind speed and direction data of ECMWF(European Center for Medium-Range Weather Forecast), and SST(sea surface temperature) data acquired by WindSat to examine the dependence of radar backscatter coefficient on SST and then derive a SST-dependent geophysical model function(SST-GMF). The validation experiment results indicate that the SST-GMF leads to a smaller wind speed bias at the low(0-10 degrees C) and the high(20-30 degrees C) SST ranges compared to the NSCAT-2 model, resulting in a higher wind speed retrieval precision.
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Key words
Microwave scatterometer, geophysical model function, sea surface temperature, wind retrieval
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