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Hairui Hao, Jie Su, Qian Shi, Lele Li. Arctic sea ice concentration retrieval using the DT-ASI algorithm based on FY3B/MWRI data[J]. Acta Oceanologica Sinica. doi: 10.1007/s13131-021-1839-6
Citation: Hairui Hao, Jie Su, Qian Shi, Lele Li. Arctic sea ice concentration retrieval using the DT-ASI algorithm based on FY3B/MWRI data[J]. Acta Oceanologica Sinica. doi: 10.1007/s13131-021-1839-6

Arctic sea ice concentration retrieval using the DT-ASI algorithm based on FY3B/MWRI data

doi: 10.1007/s13131-021-1839-6
Funds:  Program of China under contract No. 2016YFC1402704; the Chinese Natural Science Foundation under contract No. 41941012 and 42076228; the Guangdong Basic and Applied Basic Research Foundation under contract No. 2019A1515110295.
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  • Corresponding author: E-mail: sujie@ouc.edu.cn
  • Received Date: 2021-01-27
  • Accepted Date: 2021-04-02
  • Available Online: 2021-06-28
  • Sea ice concentration (SIC) is one of the most important indicators when monitoring climate changes in the polar region. With the development of the Chinese satellite technology, the Feng Yun (FY) series has been applied to retrieve the sea ice parameters in the polar region. In this paper, to improve the SIC retrieval accuracy from the passive microwave (PM) data of the MWRI (Microwave Radiometer Imager) aboard on the FengYun-3B (FY3B) satellite, the DT-ASI (dynamic tie-point ASI) SIC retrieval algorithm is applied and obtained Arctic SIC data for nearly 10 years (from November 18, 2010 to August 19, 2019). Also, by applying a land spillover correction scheme, the erroneous sea ice along coastlines in melt season is removed. The results of FY3B/DT-ASI are obviously improved compared to that of FY3B/NT2 in both SIC and sea ice extent (SIE), and are highly consistent with the results of similar products of AMSR2/ASI and AMSR2/DT-ASI. Compared with the annual average SIC of FY3B/NT2, our result is reduced by 2.31%. The annual average SIE difference between the two FY3Bs is 1.65×106 km2, of which the DT-ASI algorithm contributes 87.9% and the land spillover method contributes 12.1%. We further select 58 MODIS cloud-free samples in the Arctic region and use the tie-point method to retrieve SIC to verify the accuracy of these SIC products. The root mean square difference (RMSD) and mean absolute difference (MAD) of the FY3B/DT-ASI and MODIS results are 17.2% and 12.7%, which is close to those of two AMSR2 products with 6.25 km resolution and decreased 8% and 7.2% compared with FY3B/NT2. Further, FY3B/DT-ASI has the most significant improvement where the SIC is lower than 60%. A high-quality SIC product can be obtained by using the DT-ASI algorithm and our work will be beneficial to promote the application of Fengyun Satellite.
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