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%0 Journal Article
%1 rasp2018deep
%A Rasp, Stephan
%A Pritchard, Michael S
%A Gentine, Pierre
%D 2018
%I National Acad Sciences
%J Proceedings of the National Academy of Sciences
%K adam climate
%N 39
%P 9684--9689
%T Deep learning to represent subgrid processes in climate models
%U https://www.pnas.org/content/pnas/early/2018/09/05/1810286115.full.pdf
%V 115
@article{rasp2018deep,
added-at = {2019-05-03T13:51:44.000+0200},
author = {Rasp, Stephan and Pritchard, Michael S and Gentine, Pierre},
biburl = {https://www.bibsonomy.org/bibtex/2411873da6114fc67aa8423c3f5218f29/msteininger},
interhash = {4e61a4a505335969ca4eedc40b23b4f7},
intrahash = {411873da6114fc67aa8423c3f5218f29},
journal = {Proceedings of the National Academy of Sciences},
keywords = {adam climate},
number = 39,
pages = {9684--9689},
publisher = {National Acad Sciences},
timestamp = {2019-05-03T13:51:44.000+0200},
title = {Deep learning to represent subgrid processes in climate models},
url = {https://www.pnas.org/content/pnas/early/2018/09/05/1810286115.full.pdf},
volume = 115,
year = 2018
}