Development of A Novel Algorithm To Retrieve Sea Surface Temperature From FY-3D MWRI Measurements

Sea surface temperature (SST) plays an important role in tropical cyclogenesis and formation of sea fog and sea breezes. Satellite remote sensing is the only way to obtain a global and continuous coverage of SST. In this paper, a novel method combining microwave sea surface emissivity (SSE) is proposed to retrieve SST from the measurements acquired by Microwave Radiation Imager (MWRI) on Fengyun 3D (FY-3D), which has ten channels at 10.65, 18.7, 23.8, 36.5 and 89.0 GHz with both vertical and horizontal polarizations. The algorithm is applied to FY-3D MWRI data in 2020, and then the derived SSTs are validated against the NOAA iQuam in situ SST data and the Global Precipitation Measurement (GPM) Microwave Imager (GMI) SST product. Against the iQuam in situ data and the GMI SST, the errors of the retrieved SST in the final step are 0.04±1.13 K -0.07±1.18 K, respectively. The result indicates that the SST retrieval algorithm is valid and accurate in the SST retrieval.