Process‐Based Climate Model Development Harnessing Machine Learning: II. Model Calibration From Single Column to Global
Abstract We demonstrate a new approach for climate model tuning in a realistic situation. Our approach, the mathematical foundations and technical details of which are given in Part I, systematically uses a single‐column configuration of a global atmospheric model on test cases for which reference l...
Main Authors: | , , , , , , , , , |
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Format: | Article |
Language: | English |
Published: |
American Geophysical Union (AGU)
2021-06-01
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Series: | Journal of Advances in Modeling Earth Systems |
Online Access: | https://doi.org/10.1029/2020MS002225 |