Identifying meteorological influences on marine low-cloud mesoscale morphology using satellite classifications

<p>Marine low-cloud mesoscale morphology in the southeastern Pacific Ocean is analyzed using a large dataset of classifications spanning 3 years generated by machine learning methods. Meteorological variables and cloud properties are composited by the mesoscale cloud type of the classification...

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Bibliographic Details
Main Authors: J. Mohrmann, R. Wood, T. Yuan, H. Song, R. Eastman, L. Oreopoulos
Format: Article
Language:English
Published: Copernicus Publications 2021-06-01
Series:Atmospheric Chemistry and Physics
Online Access:https://acp.copernicus.org/articles/21/9629/2021/acp-21-9629-2021.pdf