山东科学

• 海洋科技与装备 •    

89.0 GHz亮温在海冰密集度的双极化反演算法中的应用研究

张树刚1,厉运周123*,陈萍1,周茂盛1,3,朱琳1,3,赵新华1*   

  1. 1.齐鲁工业大学(山东省科学院) 海洋仪器仪表研究所,山东 青岛 2660612.崂山实验室,山东 青岛 266237; 3.山东省科学院 山东省院士工作站,山东 济南 250014
  • 收稿日期:2025-07-15 接受日期:2025-12-29 上线日期:2026-02-05
  • 通信作者: 厉运周;赵新华 E-mail:lyz@qlu.edu.cn;zhaoxinhua@jou.edu.cn
  • 作者简介:张树刚(1982—),博士,副研究员,研究方向为海洋环境遥感监测。E-mail:zhangshugang6@163.com
  • 基金资助:

    山东省自然科学基金面上基金(ZR2022MD076);山东省自然科学基金青年基金(ZR2021QD160);

    国家重点基础研究发展计划(2011CB00000);国家自然科学基金(5087513260573172)和国家高技术研究发展计划(2011AA06Z228)

Application study of 89.0GHz brightness temperature in the dual-polarized ratio algorithm for retrieving sea ice concentration

ZHANG Shugang1, LI Yunzhou1,2,3*, CHEN Ping1, ZHOU Maosheng1,3, ZHU Lin1,3, ZHAO Xinhua1*   

  1. 1.Institute of Oceanographic Instrumentation, Qilu University of Technology (Shandong Academy of Sciences), Qingdao 266061, China;  2. Laoshan Laboratory, Qingdao 266237, China; 3. Academician Workstation of Shandong Province, Shandong Academy of Sciences, Jinan 250014, China
  • Received:2025-07-15 Accepted:2025-12-29 Online:2026-02-05
  • Contact: LI Yunzhou:ZHAO Xinhua E-mail:lyz@qlu.edu.cn;zhaoxinhua@jou.edu.cn

摘要: 海冰密集度(sea ice concentration ,SIC)是量化极区海冰覆盖的核心参数,在气候研究、海洋研究、航海安全以及遥感监测中发挥至关重要的作用,其全天候、大范围的观测主要依靠被动微波辐射遥感技术。基于水平极化(H)和垂直极化(V)的89.0 GHz的被动微波辐射亮温技术,本文将大气补偿技术应用到SIC双极化反演算法((dual-polarized ratio,DPR)中,实现了6.25 km网格的SIC反演。和已有的SIC反演算法相比,DPR算法是基于被动微波辐射亮温传输方程建立起来的理论算法,其关键是确定海冰的H和V的微波发射率的比值(),其中可以由100%海冰覆盖区域的HV89.0GHz的亮温确定。研究发现SIC大于0.82时,DPR算法不需要进行大气补偿;SIC小于0.82时,DPR算法需要进行大气补偿。此时,由大气补偿引起的SIC误差与气温密切相关,气温越低大气对DPR算法的影响越小,当气温低于-5℃时,大气引起的SIC误差低于10%。评估结果显示在SIC大于0.25时DPR算法整体优于ARTIST Sea Ice(ASI)算法,可以为北极区域海冰监测、气候模型、极地航运安全以及全球能量平衡研究提供更可靠的SIC数据。

关键词: 北极, 海冰密集度, 卫星遥感, 亮温, 大气补偿技术, 双极化反演算法

Abstract: Sea ice concentration (SIC) is a core parameter for quantifying polar sea ice coverage. SIC play a crucial role in climate research, oceanography, maritime safety, and remote sensing monitoring. Its all-weather and large-scale observations primarily rely on passive microwave remote sensing technology.  In this article, the atmospheric correction techniques are used in the dual-polarized ratio algorithm (DPR algorithm) to retrieve SIC from 89.0GHz brightness temperature and the the resolution of SIC is 6.25 km. Compared to existing SIC algorithms, the DPR algorithm is a theoretical method based on the passive microwave brightness temperature radiative transfer equation.The key parameter in the DPR algorithm is the ratio () between horizontal (H) and vertical (V) polarizations for sea ice microwave emissivity. The can be determined by the brightness temperatures at HV89.0 GHz with 100% sea ice-covered regions. The atmospheric effects are implicitly treated as a smooth function in DPR algorithm. Studies show that atmospheric compensation is unnecessary when SIC exceeds 0.82, whereas compensation is required when SIC below 0.82. The SIC error induced by atmospheric compensation exhibits a strong correlation with air temperature. The error decreases with lower temperatures. And when the temperature drops below -5 ℃, the error falls below 10%. The evaluation results indicate that when SIC exceeds 0.25, the DPR algorithm generally outperforms the ARTIST Sea Ice algorithm (ASI algorithm). It is evident that the DPR algorithm can provide more reliable SIC data for Arctic ice monitoring, climate modeling, polar navigation safety, and global energy balance research.

Key words: Arctic,Sea ice concentraion, Satellite remote sensing, Brightness emperature, dual-polarized ratio

中图分类号: 

  • P715

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