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temperatures. Given the high albedo and low thermal conductivity, snow is regarded as one of the key reasons for the amplification of\udthe warming in polar regions. The distributions of sea ice and snow depth are essential to the whole thermal conduction in the Arctic.\udThis study focused on the retrieval of snow depth on sea ice from brightness temperatures of the MicroWave Radiometer Imager\ud(MWRI) onboard the FengYun (FY)-3B satellite during the period from December 1, 2010 to April 30, 2011. After cross calibrated to\udthe Advanced Microwave Scanning Radiometer–EOS (AMSR-E) Level 2A data, the MWRI brightness temperatures were applied to\udcalculate the sea ice concentrations based on the Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) algorithm. According\udto the proportional relationship between the snow depth and the surface scattering in 18.7 and 36.5 GHz, the snow depths were derived.\udIn order to eliminate the influence of uncertainties in grain sizes of snow as well as sporadic weather effects, the seven-day averaged\udsnow depths were calculated. Then the results were compared with the snow depths from the AMSR-E Level 3 Sea Ice products. The\udbias of differences between the MWRI and the AMSR-E Level 3 products are ranged between −1.09 and −0.32 cmwhile the standard\uddeviations and the correlation coefficients are ranged from 2.47 to 2.88 cm and from 0.78 to 0.90 for different months. As a result, it\udcould be summarized that FY3B/MWRI showed a promising prospect in retrieving snow depth on sea ice

the international archives of the photogrammetry, remote sensing and spatial information sciences/international archives of the photogrammetry, remote sensing and spatial information sciences

STUDY ON THE RETRIEVAL OF SNOW DEPTH FROM FY3B/MWRI IN THE ATCTIC