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Feasibility analysis of retrieving sea ice concentration by multi-incidence angle brightness temperature at 89 GHz

  • role： First author第一作者
  • Affiliation：

    Key Laboratory of Microwave Remote Sensing, National Space Science Center of the Chinese Academy of Sciences,Beijing 100190, China

    University of Chinese Academy of Sciences, Beijing 100049, China

  • Email：1251691551@qq.com
  • Introduction：吴若男，研究方向为电磁场与微波技术。 E-mail： 1251691551@qq.com
WU Ruonan12,  
  • role： Corresponding author通信作者
  • Affiliation：

    Key Laboratory of Microwave Remote Sensing, National Space Science Center of the Chinese Academy of Sciences,Beijing 100190, China

  • Email：liuhao@mirslab.cn
  • Introduction：刘浩，研究方向为微波遥感技术、空间探测技术等。E-mail： liuhao@mirslab.cn
LIU Hao1*,  
  • Affiliation：

    Key Laboratory of Microwave Remote Sensing, National Space Science Center of the Chinese Academy of Sciences,Beijing 100190, China

    University of Chinese Academy of Sciences, Beijing 100049, China

WU Ji12

Resümee

Passive microwave remote sensing is an important method for observing the sea ice concentration (SIC). The ASI (ARTIST Sea Ice algorithm) can obtain the highest spatial resolution of 6.25 km2 in the current SIC products by using the dual-polarized brightness temperature of AMSR-E at 89 GHz. However, additional auxiliary low-frequency band data are still needed for weather filter. In this work, a new SIC retrieving algorithm based on single-frequency multi-incident angle brightness temperature data has been proposed and studied, which can be applied on an 89 GHz synthetic aperture radiometer. Fully utilizing the multi-incident angle brightness temperature with a synthetic aperture radiometer can separate the information of sea ice and seawater, improve the precision of SIC retrieving, and achieve high spatial resolution. The first step involves creating a simulation system for space-borne observation of sea–ice radiant brightness temperature and using the measured data of the 89 GHz channel from the FY-3C/MWHS to carry out the sensitivity analysis between brightness temperature and angle at 89 GHz. The second step consists of developing an SIC retrieving algorithm based on the angle brightness temperature difference at 89 GHz and completing the preliminary retrieving verification by combining the SIC product of ECMWF and the brightness temperature simulation system. The results show that the SIC retrieval can be realized by using the incident angle brightness temperature difference. Moreover, the minimum root mean square weighted average post-processing by using the combination of multi-incidence angle can minimize the retrieving error of SIC. When the input Gaussian white noise is 2 K, 5% SIC error can be obtained. The final results show that the SIC retrieval with the combination of multi-incidence angle can fully expand the distinction between sea water and sea ice.

Schlüsselwort

multi-incident angle;sea ice concentration;89 GHz Antarctic;Arctic brightness temperature;synthetic aperture microwave radiometer

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