Sea Ice Concentration Products over Polar Regions with Chinese FY3C/MWRI Data

Polar sea ice affects atmospheric and ocean circulation plays an important role in global climate change. Long time series concentrations (SIC) are parameter for research. This study presents SIC retrieval algorithm based on brightness temperature (Tb) data from the FY3C Microwave Radiation Imager (MWRI) over polar region. With Tb of Special Sensor Imager/Sounder (SSMIS) as a reference, monthly calibration models were established time–space matching linear regression. After calibration, correlation between F17/SSMIS FY3C/MWRI at different channels was improved. Then, products Arctic Antarctic 2016–2019 retrieved with NASA team (NT) method. Atmospheric effects reduced using two weather filters mask. A minimum concentration array used procedure land-to-ocean spillover effect. Compared product National Snow Ice Data Center (NSIDC), average relative difference extent found to be acceptable, values ?0.27 ± 1.85 0.53 1.50, respectively. To decrease error fixed tie points (FTPs), by NT method dynamic (DTPs) original FY3C/MWRI. The evaluated ship observation data, synthetic aperture radar (SAR) cover products, Round Robin Package (RRDP). In comparison bias DTP is 4% much better than that FTP (9%). Evaluation results SAR closed RRDP show similar trend FTPs DTPs. Using DTPs present seasonal change types improved accuracy, especially melting season. lays foundation release long operational Chinese FY3 satellites.