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Title: Could Machine Learning Break the Convection Parameterization Deadlock?

Authors:
ORCiD logo [1] ; ORCiD logo [2] ; ORCiD logo [3] ;  [1] ; ORCiD logo [2]
  1. Earth and Environmental Engineering, Columbia University, New York NY USA
  2. Earth System Science, University of California, Irvine CA USA
  3. Faculty of Physics, LMU Munich, Munich Germany
Publication Date:
Grant/Contract Number:
SC00-12548; SC0012152
Type:
Published Article
Journal Name:
Geophysical Research Letters
Additional Journal Information:
Journal Name: Geophysical Research Letters Journal Volume: 45 Journal Issue: 11; Journal ID: ISSN 0094-8276
Publisher:
American Geophysical Union (AGU)
Sponsoring Org:
USDOE
Country of Publication:
United States
Language:
English
OSTI Identifier:
1452657
Alternate Identifier(s):
OSTI ID: 1452658

Gentine, P., Pritchard, M., Rasp, S., Reinaudi, G., and Yacalis, G.. Could Machine Learning Break the Convection Parameterization Deadlock?. United States: N. p., Web. doi:10.1029/2018GL078202.
Gentine, P., Pritchard, M., Rasp, S., Reinaudi, G., & Yacalis, G.. Could Machine Learning Break the Convection Parameterization Deadlock?. United States. doi:10.1029/2018GL078202.
Gentine, P., Pritchard, M., Rasp, S., Reinaudi, G., and Yacalis, G.. 2018. "Could Machine Learning Break the Convection Parameterization Deadlock?". United States. doi:10.1029/2018GL078202.
@article{osti_1452657,
title = {Could Machine Learning Break the Convection Parameterization Deadlock?},
author = {Gentine, P. and Pritchard, M. and Rasp, S. and Reinaudi, G. and Yacalis, G.},
abstractNote = {},
doi = {10.1029/2018GL078202},
journal = {Geophysical Research Letters},
number = 11,
volume = 45,
place = {United States},
year = {2018},
month = {6}
}