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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 王鑫 叶玉芳 陈卓奇

极地研究2025,Vol.37Issue(3):437-452,16.
极地研究2025,Vol.37Issue(3):437-452,16.DOI:10.13679/j.jdyj.20240007

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

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

夏常伟 1王鑫 2叶玉芳 2陈卓奇2

作者信息

  • 1. 中山大学测绘科学与技术学院,广东 珠海 519082||南方海洋科学与工程广东省实验室(珠海),广东 珠海 519082||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||中国人民解放军 61175 部队,江苏 南京 210049
  • 2. 中山大学测绘科学与技术学院,广东 珠海 519082||南方海洋科学与工程广东省实验室(珠海),广东 珠海 519082||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
  • 折叠

摘要

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 concen-tration data(ASI2-FTP,ASI2-DTP,ASI2E-FTP,ASI2E-DTP)were obtained by using the original and en-hanced 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%.

关键词

海冰密集度/ASI2算法/FY-3D/MWRI/大气校正/北极

Key words

sea ice concentration/ASI2 algorithm/FY-3D/MWRI/atmospheric correction/Arctic

引用本文复制引用

夏常伟,王鑫,叶玉芳,陈卓奇..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[J].极地研究,2025,37(3):437-452,16.

基金项目

广东省自然科学基金面上项目(2022A1515011545)、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(311021008)和风云卫星应用先行计划项目(FY-APP-2022.0201)资助 (2022A1515011545)

极地研究

OA北大核心

1007-7073

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