Filling MODIS AOD China Land Missing Data Regions Based on Reflectance Statistical Model

Abstract

Abstract:

In view of the limitation of MODIS aerosol products and the lack of values caused by thick clouds, an Ordinary Kriging-Natural proximity interpolation method based on reflectance statistical model is proposed. The response of MODIS blue band apparent reflectance to surface reflectivity and aerosol optical depth(AOD) is simulated by using 6S radiation transfer model. A statistical model of reflectivity and AOD is established. The MOD04_L2 and reflectivity data of regional aerosol products in China in November 2017 are used to do the experiment, and the time-space matching AERONET data was used for cross-validation. The results show that the MOD04_L2 missing data of China regions is better with this method, more than 60% of the interpolation results are within the expected error limits, which not only effectively solves the problem of missing effective data of AOD in low reflectivity regions, but also is not affected by the improper assumption of aerosol type.

Key words: reflectivity statistical model, MODIS aerosol optical depth missing data, interpolation; weighted fusion

CLC Number:

P426

LU En-Ming, XIAO Dong-Sheng, LIU Fu-Zhen. Filling MODIS AOD China Land Missing Data Regions Based on Reflectance Statistical Model[J]. Journal of Atmospheric and Environmental Optics, 2018, 13(5): 378-387.

References

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