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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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| Main Authors: | , , |
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| Formato: | Artigo |
| Idioma: | Inglês |
| Publicado em: |
American Geophysical Union (AGU)
2021-09-01
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| Colecção: | Earth and Space Science |
| Assuntos: | |
| Acesso em linha: | https://doi.org/10.1029/2020EA001490 |
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