%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 }