Using Deep Neural Networks as Cost‐Effective Surrogate Models for Super‐Parameterized E3SM Radiative Transfer
Author:
Affiliation:
1. National Center for Computational SciencesOak Ridge National Laboratory Oak Ridge TN USA
2. Computational Earth SciencesOak Ridge National Laboratory Oak Ridge TN USA
Publisher
American Geophysical Union (AGU)
Subject
General Earth and Planetary Sciences,Geophysics
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2018GL081646
Reference31 articles.
1. Machine Learning Predictions of a Multiresolution Climate Model Ensemble
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5. E3SM Project(2018).Energy Exascale Earth System Model (E3SM).https://dx.doi.org/10.11578/E3SM/dc.20180418.36
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