Low-level liquid cloud properties during ORACLES retrieved using airborne polarimetric measurements and a neural network algorithm

Low-level liquid cloud properties during ORACLES retrieved using airborne polarimetric measurements and a neural network algorithm

<p>In this study we developed a neural network (NN) that can be used to retrieve cloud microphysical properties from multiangular and multispectral polarimetric remote sensing observations. This effort builds upon our previous work, which explored the sensitivity of neural network input, archi...

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Bibliographic Details
Main Authors:	D. J. Miller, M. Segal-Rozenhaimer, K. Knobelspiesse, J. Redemann, B. Cairns, M. Alexandrov, B. van Diedenhoven, A. Wasilewski
Format:	Article
Language:	English
Published:	Copernicus Publications 2020-06-01
Series:	Atmospheric Measurement Techniques
Online Access:	https://www.atmos-meas-tech.net/13/3447/2020/amt-13-3447-2020.pdf

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