极地研究

极地研究 ›› 2025, Vol. 37 ›› Issue (3): 437-452.DOI: 10.13679/j.jdyj.20240007

• 研究论文 • 上一篇    下一篇

基于FY-3D/MWRI数据的北极夏季海冰密集度反演优化方法研究

夏常伟1,2,3,4, 王鑫1,2,3, 叶玉芳1,2,3, 陈卓奇1,2,3   

  1. 1中山大学测绘科学与技术学院, 广东 珠海 519082; 
    2南方海洋科学与工程广东省实验室(珠海), 广东 珠海 519082; 
    3极地环境立体观测与应用教育部重点实验室(中山大学), 广东 珠海 519082;
    4中国人民解放军61175部队，江苏 南京 210049

  • 收稿日期:2024-01-15 修回日期:2024-03-26 出版日期:2025-09-30 发布日期:2025-09-25
  • 通讯作者: 叶玉芳
  • 基金资助:
    广东省自然科学基金面上项目、南方海洋科学与工程广东省实验室(珠海)创新团队建设项目和风云卫星应用先行计划项目

Enhanced Arctic summer sea ice concentration retrieval from FY-3D / MWRI

XIA Changwei1,2,3,4, WANG Xin1,2,3, YE Yufang1,2,3, CHEN Zhuoqi1,2,3   

  1. 1School of Geospatial Engineering and Science, Sun Yat-sen University, Zhuhai 519082, China;
    2Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai), Zhuhai 519082, China;
    3Key Laboratory of Comprehensive Observation of Polar Environment(Sun Yat-sen University), Ministry of Education, Zhuhai 519082, China; 
    461175 Troops of PLA, Nanjing 210049, China
  • Received:2024-01-15 Revised:2024-03-26 Online:2025-09-30 Published:2025-09-25

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摘要： 海冰密集度是描述海冰特征的重要参数, 准确获取海冰密集度对研究全球气候变化具有重要意义。针对北极夏季海冰密集度反演精度较低的问题, 本文通过对微波辐射传输模型中的海冰发射率和初始海冰密集度进行优化估算, 改善了微波辐射传输模型对夏季观测亮温的大气校正效果, 从而优化被动微波海冰密集度的反演结果, 本研究采用2019年6—9月的FY-3D/MWRI亮温数据, 分别利用优化前和优化后的ASI2算法(ASI2和ASI2E), 结合固定系点(FTP)与动态系点(DTP), 分别获得了4套夏季北极海冰密集度数据(ASI2-FTP、ASI2-DTP、ASI2E-FTP、ASI2E-DTP), 并利用14景MODIS影像对结果进行了精度验证。研究结果表明, 本研究提出的优化方法可有效提高北极夏季海冰密集度的反演精度, 其中该优化方法对基于固定系点的反演改进尤为明显, 其优化后的均方根误差(root mean square error, ERMSE)由21.9%减小到15.43%, 偏差(bias, |Bbias|)由−12.40%下降到−6.01%。4种反演方法中, 基于动态系点的算法优化后(ASI2E-DTP)表现尤为明显, 其ERMSE和Bbias分别为14.33%和−4.53%。

关键词: 海冰密集度, ASI2算法, FY-3D/MWRI, 大气校正, 北极

Abstract: Sea ice concentration is an important parameter to describe the characteristics of sea ice. It is of great significance to obtain accurate sea ice concentration for the study of global climate change. In this study, we improves the atmospheric correction effect of summer observed brightness temperature by optimizing the estimation of sea ice emissivity and initial sea ice concentration in the microwave radiative transfer model, thereby optimizing the retrieval results of sea ice concentration using passive microwaves. Based on the FY-3D/MWRI brightness temperature data from June to September 2019, four sets of Arctic sea ice concentration data (ASI2-FTP, ASI2-DTP, ASI2E-FTP, ASI2E-DTP) were obtained by using the original and enhanced ASI2 algorithm (ASI2 and ASI2E) combined with fixed tie points and dynamic tie points (FTP and DTP). The results were evaluated by 14 MODIS images. The enhanced method can effectively improve the Arctic sea ice concentration retrieval in summer, which is particularly effective for the method based on fixed tie points. After enhancement, the root mean square error decreased from 21.9 % to 15.43 %, and the bias reduced from –12.40 % to –6.01 %. Among the four methods, the enhanced algorithm based on dynamic tie points (ASI2E-DTP) performs best, with a root mean square error of 14.33 % and a bias of –4.53 %.

Key words: sea ice concentration, ASI2 algorithm, FY-3D/MWRI, atmospheric correction, Arctic