Machine Learning Approach to Investigating the Relative Importance of Meteorological and Aerosol-Related Parameters in Determining Cloud Microphysical Properties
Aerosol effects on cloud properties are notoriously difficult to disentangle from variations driven by meteorological factors. Here, a machine learning model is trained on reanalysis data and satellite retrievals to predict cloud microphysical properties, as a way to illustrate the relative importan...
Main Authors: | , , , , |
---|---|
Format: | Article |
Language: | English |
Published: |
Stockholm University Press
2024-01-01
|
Series: | Tellus: Series B, Chemical and Physical Meteorology |
Subjects: | |
Online Access: | https://account.b.tellusjournals.se/index.php/su-j-tbcpm/article/view/1868 |