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%0 Conference Paper
%1 2017AGUFM.A41H2384E
%A Evans, M. J.
%A Keller, C. A.
%B AGU Fall Meeting Abstracts
%D 2017
%K climate forecasting pde randomforest todo:read
%P A41H-2384
%T Machine learning of atmospheric chemistry. Applications to a global chemistry transport model.
%V 2017
@inproceedings{2017AGUFM.A41H2384E,
added-at = {2020-11-08T12:57:47.000+0100},
adsnote = {Provided by the SAO/NASA Astrophysics Data System},
adsurl = {https://ui.adsabs.harvard.edu/abs/2017AGUFM.A41H2384E},
author = {{Evans}, M. J. and {Keller}, C. A.},
biburl = {https://www.bibsonomy.org/bibtex/2f7bcfae0dc9e843c0476a7073dacdb85/annakrause},
booktitle = {AGU Fall Meeting Abstracts},
eid = {A41H-2384},
interhash = {09eebeac3fcb155ac6108125427d89fd},
intrahash = {f7bcfae0dc9e843c0476a7073dacdb85},
keywords = {climate forecasting pde randomforest todo:read},
month = dec,
pages = {A41H-2384},
timestamp = {2020-11-08T12:58:02.000+0100},
title = {{Machine learning of atmospheric chemistry. Applications to a global chemistry transport model.}},
volume = 2017,
year = 2017
}