Automatic tuning of the Community Atmospheric Model (CAM5) by using short-term hindcasts with an improved downhill simplex optimization method

<p>Traditional trial-and-error tuning of uncertain parameters in global atmospheric general circulation models (GCMs) is time consuming and subjective. This study explores the feasibility of automatic optimization of GCM parameters for fast physics by using short-term hindcasts. An automatic w...

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Bibliographic Details
Main Authors: T. Zhang, M. Zhang, W. Lin, Y. Lin, W. Xue, H. Yu, J. He, X. Xin, H.-Y. Ma, S. Xie, W. Zheng
Format: Article
Language:English
Published: Copernicus Publications 2018-12-01
Series:Geoscientific Model Development
Online Access:https://www.geosci-model-dev.net/11/5189/2018/gmd-11-5189-2018.pdf