Articles | Volume 18, issue 18
https://doi.org/10.5194/gmd-18-6177-2025
https://doi.org/10.5194/gmd-18-6177-2025
Methods for assessment of models
 | 
22 Sep 2025
Methods for assessment of models |  | 22 Sep 2025

Linear Meta-Model optimization for regional climate models (LiMMo version 1.0)

Sergei Petrov, Andreas Will, and Beate Geyer

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Short summary
This study introduces a new method that helps improve the accuracy of climate models by automatically selecting the best parameters to match real-world observations. Instead of manually adjusting many parameters, the method uses a mathematical tool to find the most appropriate settings for the model. It can be especially helpful for researchers who introduce new physical parameters into climate models to assess their impact on model results and optimize them along with the old ones.
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