Process‐Based Climate Model Development Harnessing Machine Learning: II. Model Calibration From Single Column to Global

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...

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Bibliographic Details
Main Authors: Frédéric Hourdin, Daniel Williamson, Catherine Rio, Fleur Couvreux, Romain Roehrig, Najda Villefranque, Ionela Musat, Laurent Fairhead, F. Binta Diallo, Victoria Volodina
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2021-06-01
Series:Journal of Advances in Modeling Earth Systems
Online Access:https://doi.org/10.1029/2020MS002225

Internet

https://doi.org/10.1029/2020MS002225

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