Cloud Phase Discrimination Algorithm Research Based on CALIPSO Data

Abstract

Abstract:

According to cloud particle depolarization theory of polarization lidar, and use of the relationships between layer-integrated attenuated backscatter( ) and layer-integrated depolarization ratio ( ) of a two dimensional threshold and their spatial coherence analysis technique, a cloud phase discrimination algorithm using CALIPSO data was established. The testing retrieval sample of CALIPSO data of China region on March 3, 2010 used for the new algorithm were mainly derived from CALIPSO cloud phase product. The results show the new cloud phase discrimination algorithm based on CALIIPSO data has superior accuracy.

Key words: depolarization, lidar, retrieval, cloud phase

CLC Number:

LIANG Xiao-Fang, MA Jin-Ji. Cloud Phase Discrimination Algorithm Research Based on CALIPSO Data[J]. Journal of Atmospheric and Environmental Optics, 2012, (3): 203-207.

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