Retrieving the microphysical characteristics of cirrus clouds from lidar data by depolarization and color ratios

Alexander Konoshonkin; Natalia Kustova; Anatoli Borovoi; Yurii Balin; Ignatii Samokhvalov

doi:10.1117/12.2067198

Translator Disclaimer

21 October 2014 Retrieving the microphysical characteristics of cirrus clouds from lidar data by depolarization and color ratios

Alexander Konoshonkin; Natalia Kustova; Anatoli Borovoi; Yurii Balin; Ignatii Samokhvalov

Author Affiliations +

Proceedings Volume 9242, Remote Sensing of Clouds and the Atmosphere XIX; and Optics in Atmospheric Propagation and Adaptive Systems XVII; 92420I (2014) https://doi.org/10.1117/12.2067198
Event: SPIE Remote Sensing, 2014, Amsterdam, Netherlands

Abstract

The paper focuses on retrieving the microphysical characteristics of cirrus clouds from lidar data. The beam-splitting algorithm developed by the authors within framework of physical optics approximation has been used to solve the problem of light scattering by the hexagonal ice crystals. The paper presents the color ratio, depolarization ratio, and lidar ratio that have been calculated for the first time for quasi-horizontally and randomly oriented hexagonal ice particles. The lidar experimental data measuring simultaneously the depolarization ratio and color ratio in cirrus clouds are also presented.

Citation Download Citation

Alexander Konoshonkin, Natalia Kustova, Anatoli Borovoi, Yurii Balin, and Ignatii Samokhvalov "Retrieving the microphysical characteristics of cirrus clouds from lidar data by depolarization and color ratios", Proc. SPIE 9242, Remote Sensing of Clouds and the Atmosphere XIX; and Optics in Atmospheric Propagation and Adaptive Systems XVII, 92420I (21 October 2014); https://doi.org/10.1117/12.2067198

ACCESS THE FULL ARTICLE