%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 }