Arctic sea ice concentration retrieval using the DT-ASI algorithm based on FY-3B/MWRI data

被引:2
|
作者
Hao, Hairui [1 ,2 ]
Su, Jie [1 ,2 ,3 ]
Shi, Qian [1 ,4 ]
Li, Lele [5 ]
机构
[1] Ocean Univ China, Key Lab Phys Oceanog, Minist Educ, Qingdao 266100, Peoples R China
[2] Univ Corp Polar Res, Beijing 100875, Peoples R China
[3] Pilot Natl Lab Marine Sci & Technol Qingdao, Qingdao 266237, Peoples R China
[4] Southern Marine Sci & Engn Guangdong Lab Zhuhai, Zhuhai 519082, Peoples R China
[5] Ocean Univ China, Fac Informat Sci & Engn, Qingdao 266100, Peoples R China
基金
中国国家自然科学基金;
关键词
DT-ASI; FY-3B; MWRI; sea ice concentration; MODIS; TIME-SERIES; TEMPERATURE; PARAMETERS; SURFACE; COVER;
D O I
10.1007/s13131-021-1839-6
中图分类号
P7 [海洋学];
学科分类号
0707 ;
摘要
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 FengYun (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 Microwave Radiation Imager (MWRI) aboard on the FengYun-3B (FY-3B) Satellite, the dynamic tie-point (DT) Arctic Radiation and Turbulence Interaction Study (ARTIST) Sea Ice (ASI) (DT-ASI) SIC retrieval algorithm is applied and obtained Arctic SIC data for nearly 10 a (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 FY-3B/DT-ASI are obviously improved compared to that of FY-3B/NT2 (NASA-Team2) in both SIC and sea ice extent (SIE), and are highly consistent with the results of similar products of AMSR2 (Advanced Microwave Scanning Radiometer 2)/ASI and AMSR2/DT-ASI. Compared with the annual average SIC of FY-3B/NT2, our result is reduced by 2.31%. The annual average SIE difference between the two FY-3Bs is 1.65x10(6) km(2), of which the DT-ASI algorithm contributes 87.9% and the land spillover method contributes 12.1%. We further select 58 MODIS (Moderate-resolution Imaging Spectroradiometer) 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 FY-3B/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 FY-3B/NT2. Further, FY-3B/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.
引用
收藏
页码:176 / 188
页数:13
相关论文
共 50 条
  • [21] CGAN Based Improved ASI Retrieval Algorithm for Antarctic Sea Ice Concentration
    Wang, Xingdong
    Zhao, Yue
    Yang, Shuhui
    Wang, Yuhua
    Shangguan, Donghui
    FRONTIERS IN MARINE SCIENCE, 2022, 9
  • [22] Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data
    Zhongnan Yan
    Xiaoping Pang
    Qing Ji
    Yizhuo Chen
    Chongxin Luo
    Pei Fan
    Zeyu Liang
    Acta Oceanologica Sinica, 2023, 42 : 105 - 117
  • [23] Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data
    Zhongnan Yan
    Xiaoping Pang
    Qing Ji
    Yizhuo Chen
    Chongxin Luo
    Pei Fan
    Zeyu Liang
    ActaOceanologicaSinica, 2023, 42 (12) : 105 - 117
  • [24] Retrieval of snow depth on Antarctic sea ice from the FY-3D MWRI data
    Yan, Zhongnan
    Pang, Xiaoping
    Ji, Qing
    Chen, Yizhuo
    Luo, Chongxin
    Fan, Pei
    Liang, Zeyu
    ACTA OCEANOLOGICA SINICA, 2023, 42 (12) : 105 - 117
  • [25] Sea ice concentration inversion based on data screening and ASI algorithm
    Wang, Xingdong
    Sun, Zehao
    Guo, Zhi
    Zhao, Yanchuang
    Wang, Yuhua
    MEASUREMENT, 2025, 244
  • [26] Tropical Cyclone Rainfall Estimates from FY-3B MWRI Brightness Temperatures Using the WS Algorithm
    Zhang, Ruanyu
    Wang, Zhenzhan
    Hilburn, Kyle A.
    REMOTE SENSING, 2018, 10 (11):
  • [27] AN EXTENSION OF MICROWAVE VEGETATION INDICES FOR SHORT VEGETATION COVERED SURFACES USING FY-3B/MWRI DATA
    Li, Yunqing
    Shi, Jiancheng
    IGARSS 2018 - 2018 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM, 2018, : 7601 - 7604
  • [28] Sea Ice Concentration Products over Polar Regions with Chinese FY3C/MWRI Data
    Shi, Lijian
    Liu, Sen
    Shi, Yingni
    Ao, Xue
    Zou, Bin
    Wang, Qimao
    REMOTE SENSING, 2021, 13 (11)
  • [29] Snow Depth Inversion Using the Localized HUT Model Based on FY-3B MWRI Data in the Farmland of Heilongjiang Province, China
    Lili Wu
    Xiaofeng Li
    Kai Zhao
    Xingming Zheng
    Journal of the Indian Society of Remote Sensing, 2017, 45 : 89 - 100
  • [30] Snow Depth Inversion Using the Localized HUT Model Based on FY-3B MWRI Data in the Farmland of Heilongjiang Province, China
    Wu, Lili
    Li, Xiaofeng
    Zhao, Kai
    Zheng, Xingming
    JOURNAL OF THE INDIAN SOCIETY OF REMOTE SENSING, 2017, 45 (01) : 89 - 100