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Machine Learning Approach to Investigating the Relative Importance of Meteorological and Aerosol-Related Parameters in Determining Cloud Microphysical Properties Cover

Machine Learning Approach to Investigating the Relative Importance of Meteorological and Aerosol-Related Parameters in Determining Cloud Microphysical Properties

Open Access
|Jan 2024

Authors

Frida A.-M. Bender

frida@misu.su.se

Department of Meteorology, and Bolin Centre for Climate Research, Stockholm University

Tobias Lord

tobiaslord@hotmail.com

Department of Meteorology, and Bolin Centre for Climate Research, Stockholm University

Anna Staffansdotter

anna_staffansdotter@hotmail.com

Department of Meteorology, and Bolin Centre for Climate Research, Stockholm University

Verena Jung

v-jung@gmx.de

Department of Meteorology, and Bolin Centre for Climate Research, Stockholm University

Sabine Undorf

sabineu@pik-potsdam.de

Department of Meteorology, and Bolin Centre for Climate Research, Stockholm University, SE; Potsdam Institute for Climate Impact Research
Language: English
Page range: 1 - 18
Submitted on: Jan 9, 2023
Accepted on: Dec 13, 2023
Published on: Jan 10, 2024
Published by: Stockholm University Press
In partnership with: Paradigm Publishing Services

© 2024 Frida A.-M. Bender, Tobias Lord, Anna Staffansdotter, Verena Jung, Sabine Undorf, published by Stockholm University Press
This work is licensed under the Creative Commons Attribution 4.0 License.