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CALIPSO lidar ratio retrieval over the ocean
Damien Josset, Raymond Rogers, Jacques Pelon, Yongxiang Hu, Zhaoyan Liu, Ali Omar, Peng-Wang Zhai

CALIPSO lidar ratio retrieval over the ocean

Science & Mathematics Published 2011 Verification Pending

Overview & Synopsis

We are demonstrating on a few cases the capability of CALIPSO to retrieve the 532 nm lidar ratio over the ocean when CloudSat surface scattering cross section is used as a constraint. We are presenting the algorithm used and comparisons with the column lidar ratio retrieved by the NASA airborne high spectral resolution lidar. For the three cases presented here, the agreement is fairly good. The average CALIPSO 532 nm column lidar ratio bias is 13.7% relative to HSRL, and the relative standard deviation is 13.6%. Considering the natural variability of aerosol microphysical properties, this level of accuracy is significant since the lidar ratio is a good indicator of aerosol types. We are discussing dependencies of the accuracy of retrieved aerosol lidar ratio on atmospheric aerosol homogeneity, lidar signal to noise ratio, and errors in the optical depth retrievals. We are obtaining the best result (bias 7% and standard deviation around 6%) for a nighttime case with a relatively constant lidar ratio (in the vertical) indicative of homogeneous aerosol type.

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Document Information

Document Title CALIPSO lidar ratio retrieval over the ocean
Author / Organization Damien Josset, Raymond Rogers, Jacques Pelon, Yongxiang Hu, Zhaoyan Liu, Ali Omar, Peng-Wang Zhai
Subject & Discipline Multidisciplinary Academic Open Research
Categories Science & Mathematics
Publication Year 2011
License / Rights Open Access / Creative Commons
Resource Verification Listed PDF (Verification Pending)
Original Host Website HAL Open Science (hal.science)
File Format application/pdf (Portable Document Format)
Language EN
Catalog ID DOC-132256
Original Source Link Visit Source Page on hal.science »