Shandong Science

   

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

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

CLC Number: 

  • P715

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