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%0 Journal Article
%1 gmd-12-2797-2019
%A Scher, S.
%A Messori, G.
%D 2019
%J Geoscientific Model Development
%K climate deeplearning todo:read
%N 7
%P 2797--2809
%R 10.5194/gmd-12-2797-2019
%T Weather and climate forecasting with neural networks: using general circulation models (GCMs) with different complexity as a study ground
%U https://gmd.copernicus.org/articles/12/2797/2019/
%V 12
@article{gmd-12-2797-2019,
added-at = {2021-02-03T15:45:25.000+0100},
author = {Scher, S. and Messori, G.},
biburl = {https://www.bibsonomy.org/bibtex/2914fef9adcfbda57f7cceba11092c746/annakrause},
doi = {10.5194/gmd-12-2797-2019},
interhash = {15b61ce601d02799f20bd9d29e63c098},
intrahash = {914fef9adcfbda57f7cceba11092c746},
journal = {Geoscientific Model Development},
keywords = {climate deeplearning todo:read},
number = 7,
pages = {2797--2809},
timestamp = {2021-12-17T10:51:26.000+0100},
title = {Weather and climate forecasting with neural networks: using general circulation models (GCMs) with different complexity as a study ground},
url = {https://gmd.copernicus.org/articles/12/2797/2019/},
volume = 12,
year = 2019
}