Weather and climate forecasting with neural networks: using general circulation models (GCMs) with different complexity as a study ground
<p>Recently, there has been growing interest in the possibility of using neural networks for both weather forecasting and the generation of climate datasets. We use a bottom–up approach for assessing whether it should, in principle, be possible to do this. We use the relatively simple general...
Main Authors: | S. Scher, G. Messori |
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Format: | Article |
Language: | English |
Published: |
Copernicus Publications
2019-07-01
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Series: | Geoscientific Model Development |
Online Access: | https://www.geosci-model-dev.net/12/2797/2019/gmd-12-2797-2019.pdf |
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