A Benchmark to Test Generalization Capabilities of Deep Learning Methods to Classify Severe Convective Storms in a Changing Climate

Abstract This is a test case study assessing the ability of deep learning methods to generalize to a future climate (end of 21st century) when trained to classify thunderstorms in model output representative of the present‐day climate. A convolutional neural network (CNN) was trained to classify str...

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Huvudupphovsmän: Maria J. Molina, David John Gagne, Andreas F. Prein
Materialtyp: Artigo
Språk:Inglês
Publicerad: American Geophysical Union (AGU) 2021-09-01
Serie:Earth and Space Science
Ämnen:
benchmark
convection
deep learning
climate change
machine learning
thunderstorms
Länkar:https://doi.org/10.1029/2020EA001490
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