Evaluation of Machine Learning Classifiers for Predicting Deep Convection

Abstract The realistic representation of convection in atmospheric models is paramount for skillful predictions of hazardous weather as well as climate, yet climate models especially suffer from large uncertainties in the parameterization of clouds and convection. In this work, we examine the use of...

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Bibliographic Details
Main Authors: Peter Ukkonen, Antti Mäkelä
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2019-06-01
Series:Journal of Advances in Modeling Earth Systems
Subjects:
Online Access:https://doi.org/10.1029/2018MS001561