A PHYSICAL METHOD FOR RETRIEVING MICROWAVE LAND SURFACE EMISSIVITY UNDER ALL-WEATHER CONDITIONS
文献类型： 外文期刊
第一作者： Zhou, Fang-Cheng
作者： Zhou, Fang-Cheng;Tang, Shihao;Han, Xiuzhen;Wu, Shengli;Wu, Hua;Li, Zhao-Liang;Wu, Hua;Li, Zhao-Liang;Song, Xiaoning
作者机构：
关键词： land surface temperature; land surface emissivity; CLDAS; CRTM
期刊名称：2019 IEEE INTERNATIONAL GEOSCIENCE AND REMOTE SENSING SYMPOSIUM (IGARSS 2019)
ISSN： 2153-6996
年卷期： 2019 年
页码：
收录情况： SCI
摘要： Microwave land surface emissivity (LSE) is an important parameter for retrievals of land surface and atmospheric characteristics, and it is also crucial as an input parameter for numerical weather prediction model data assimilation. This study develops a method for retrieving all-weather LSE over China based on radiative transfer model through reconstructing spatial-temporal continuous land surface temperature (LST) data using China Land Data Assimilation System (CLDAS). Atmospheric effect is also removed with the relationships among atmospheric transmittances, atmospheric effective radiating temperature, precipitable water vapor (PWV), and cloud liquid water (CLW). The retrieved LSE are preliminarily validated by the simulations of Community Radiative Transfer Model (CRTM) and two LSEs show a determined parameter (R-2) of 0.81 at 18.7 GHz.
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