Liquid Phase Cloud Microphysical Property Estimates From CALIPSO Measurements

Liquid Phase Cloud Microphysical Property Estimates From CALIPSO Measurements

A neural-network algorithm that uses CALIPSO lidar measurements to infer droplet effective radius, extinction coefficient, liquid-water content, and droplet number concentration for water clouds is described and assessed. These results are verified against values inferred from High-Spectral-Resoluti...

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Bibliographic Details
Main Authors:	Yongxiang Hu, Xiaomei Lu, Peng-Wang Zhai, Chris A. Hostetler, Johnathan W. Hair, Brian Cairns, Wenbo Sun, Snorre Stamnes, Ali Omar, Rosemary Baize, Gorden Videen, Jay Mace, Daniel T. McCoy, Isabel L. McCoy, Robert Wood
Format:	Article
Language:	English
Published:	Frontiers Media S.A. 2021-09-01
Series:	Frontiers in Remote Sensing
Subjects:	CALIPSO water cloud microphysics number concentration water content
Online Access:	https://www.frontiersin.org/articles/10.3389/frsen.2021.724615/full

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