Abstract
Abstract. Passive microwave (PM) sensors on satellite can monitor sea ice distribution with their strengths of daylight- and weather-independent observations. Microwave Radiation Imager (MWRI) sensor aboard on the Chinese FengYun-3D (FY-3D) satellites was launched in 2017 and provides continuous observation for Arctic sea ice since then. In this study, sea ice concentration (SIC) product is derived from brightness temperature (TB) data of MWRI, based on an Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) dynamic tie points algorithm. Our product is inter-compared with a published MWRI SIC product by the Enhanced NASA Team (NT2) algorithm, and three Advanced Microwave Scanning Radiometer 2 (AMSR2) SIC products by the ASI, Bootstrap (BST) and NT2 algorithm. Results show that MWRI SIC are generally higher than AMSR2 SIC and the median of monthly SIC differences are larger in summer. Regional analysis indicates that the smaller differences between AMSR2 SIC and MWRI-ASI SIC occur in the higher SIC areas, and the biases are within ±5% in the Beaufort Sea, Chukchi Sea, East Siberian Sea, Canadian Archipelago Sea and Central Arctic Sea. There is the smallest SIC difference in the Central Arctic Sea with the biases of −0.77%, −0.60%, and 0.19% for AMSR2-ASI, AMSR2-BST and AMSR2-NT2, respectively. The trends of MWRI and AMSR2 sea ice extent and sea ice area are consistent with correlation coefficients all greater than 0.997. Besides, mean SIC, sea ice extent and sea ice area of MWRI-ASI are closer to those of AMSR2 than those of MWRI-NT2.
Highlights
Sea ice concentration (SIC) plays a vital role in climate system
An ASI dynamic tie points algorithm is attempted to employ to FY-3D Microwave Radiation Imager (MWRI) TB to generate SIC product, which is inter-compared with the published MWRI SIC product by National Satellite Meteorological Center (NSMC) and three Advanced Microwave Scanning Radiometer 2 (AMSR2) SIC products based on the ASI, BST and NT2 algorithm
Quantitative inter-comparisons of sea ice extent and sea ice area calculated from AMSR2-ASI, AMSR2-BST, AMSR2-NT2 and MWRI-ASI, MWRI-NT2 were made during the overlapped period (Table 3)
Summary
Sea ice concentration (SIC) plays a vital role in climate system. Passive microwave (PM) sensors have been employed to detect sea ice distribution for more than four decades, due to the advantages of daylight- and weather-independent observations (Gloersen et al, 1992; Zabel, Jezek, 1994; Meier et al, 2012). The AMSR-E and AMSR2 brightness temperature (TB) data were applied to generate SIC product data set using the Arctic Radiation and Turbulence Interaction Study Sea Ice (ASI) algorithm (Spreen et al, 2008) by the University of Bremen, Institute of Environmental Physics (IUP). The SIC products by applying the NT2 algorithm to TB measured with MWRI were provided by Chinese National Satellite Meteorological Center (NSMC) since June 2011. An ASI dynamic tie points algorithm is attempted to employ to FY-3D MWRI TB to generate SIC product, which is inter-compared with the published MWRI SIC product by NSMC and three AMSR2 SIC products based on the ASI, BST and NT2 algorithm. All the AMSR2 SIC products covered the full year of 2018, while the released NT2 SIC product of MWRI only covered the second half year of 2018, starting from 12th July 2018 to 31th December 2018
Sign-in/Register to view highlights & summary Sign-in/Register to access full text options 
Free) 
Talk to us
Join us for a 30 min session where you can share your feedback and ask us any queries you have
Schedule a call
