Retrieval Atmospheric Aerosol Optical Depth over China from AVHRR by Multiple Regression Method

Abstract

Abstract:

An algorithm has been developed to retrieve aerosol optical depth (AOD) from AVHRR over land for climate change studies. The multiple regression method was employed by using spatially and temporally collocated MODIS AOD and AVHRR Level1b measurements to generate regression coefficients from 2008 through 2011. Validation with AERONET AOD measurements and comparison with MODIS AOD product have been conducted to evaluate the uncertainty of AVHRR AOD retrievals over land from 2003 - 2007. It is found that the distribution pattern of the seasonal mean AOD is reasonable. The AOD from AVHRR has a tendency to be consistent with that from MYD04 and the correlation coefficients are larger than 0.7 for Beijing, Pearl River Delta, Yangtze River Delta and Sichuan Basin areas. Compared AVHRR with AERONET in Beijing and Xianghe, the correlation coefficients are larger than 0.6. These results show that the multiple regression method has the potential to retrieve a long-term AOD climatology data from AVHRR over land. Error sources about this retrieving algorithm were also discussed.

Key words: aerosol optical depth, multiple regression method, AVHRR, MODIS, AERONET

CLC Number:

P407.1

GAO Ling, LI Jun, CHEN Lin, ZHANG Li-Yang. Retrieval Atmospheric Aerosol Optical Depth over China from AVHRR by Multiple Regression Method[J]. Journal of Atmospheric and Environmental Optics, 2015, 10(4): 286-294.

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