基于FY-4A卫星数据反演气溶胶光学厚度及分析应用

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Abstract FY-4A is among the new generation of geostationary meteorological satellite in China. Advanced Geostationary Radiation Imager (AGRI) is one of the main sensors boarding on FY-4A. In order to investigate the reliability of the Aerosol Optical Depth (AOD) retrieval using FY-4A measurements, the dark target algorithm was carried out to perform the AOD over Beijing-Tianjin-Hebei region of Feb. 23~26 and Oct. 27~30, 2019. For further study, the inversions were validated with the AERONET ground-network observations. The results are indicated that:Based on the response function library of FY-4A, the dark target algorithm leads to a better understanding of the aerosol spatial distribution over Beijing-Tianjin-Hebei region; The maximum of AOD was mainly in the central and southern part of Beijing-Tianjin-Hebei region, and gradually decreases along the surrounding suburbs; By comparing the retrieval values with the ground-based AERONET observations during the same period, the correlation coefficient was 0.869 and the RMSE was 0.221. It is shown that the AOD retrieval values are in good agreement with the observed values, and the AOD retrieval of FY-4A satellite is reliable.

Key words： AOD dark target algorithm FY-4A/AGRI Aerosol Robotic Network (AERONET)

Received: 15 April 2020

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X513

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	XU Meng-jie
	BAO Yan-song
	XU Dan
	LU Qi-feng
	ZHANG Xing-ying

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XU Meng-jie,BAO Yan-song,XU Dan等. Retrieval of aerosol optical depth based on FY-4A satellite data and its analysis and application[J]. CHINA ENVIRONMENTAL SCIENCECE, 2020, 40(12): 5162-5168.

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http://www.zghjkx.com.cn/EN/ OR http://www.zghjkx.com.cn/EN/Y2020/V40/I12/5162

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