Articles | Volume 18, issue 23
https://doi.org/10.5194/gmd-18-9293-2025
https://doi.org/10.5194/gmd-18-9293-2025
Development and technical paper
 | 
02 Dec 2025
Development and technical paper |  | 02 Dec 2025

Calibrating the GAMIL3-1° climate model using a derivative-free optimization method

Wenjun Liang, Simon Frederick Barnard Tett, Lijuan Li, Coralia Cartis, Danya Xu, Wenjie Dong, and Junjie Huang

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Short summary
Predicting climate accurately is challenging due to uncertainties in model parameters. This study introduced an automated approach to refine key parameters, focusing on processes like cloud formation and atmospheric circulation. Testing adjustments to 10 and 20 parameters improved the model’s accuracy and stability, reducing errors in long-term simulations. This faster, more reliable method enhances climate models, supporting better future predictions and aiding global decision-making.
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