Articles | Volume 18, issue 18
https://doi.org/10.5194/gmd-18-6177-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-6177-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Methods for assessment of models
| 
22 Sep 2025
Methods for assessment of models |
| 22 Sep 2025
| 22 Sep 2025
Linear Meta-Model optimization for regional climate models (LiMMo version 1.0)
Institute of Coastal Systems, Helmholtz-Zentrum Hereon, Geesthacht, Germany
Andreas Will
Atmospheric Processes, BTU Cottbus-Senftenberg, Cottbus, Germany
Beate Geyer
Institute of Coastal Systems, Helmholtz-Zentrum Hereon, Geesthacht, Germany
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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.
This study introduces a new method that helps improve the accuracy of climate models by...
