Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data

Aerosol and Cloud Detection Using Machine Learning Algorithms and Space-Based Lidar Data

Clouds and aerosols play a significant role in determining the overall atmospheric radiation budget, yet remain a key uncertainty in understanding and predicting the future climate system. In addition to their impact on the Earth’s climate system, aerosols from volcanic eruptions, wildfires, man-mad...

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Bibliographic Details
Main Authors: John E. Yorks, Patrick A. Selmer, Andrew Kupchock, Edward P. Nowottnick, Kenneth E. Christian, Daniel Rusinek, Natasha Dacic, Matthew J. McGill
Format: Article
Language:English
Published: MDPI AG 2021-05-01
Series:Atmosphere
Subjects:
lidar
aerosol
cloud
machine learning
Online Access:https://www.mdpi.com/2073-4433/12/5/606

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