Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 12
Articles | Volume 19, issue 12
https://doi.org/10.5194/gmd-19-5531-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-5531-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 12
Development and technical paper
 | 
26 Jun 2026
Development and technical paper |  | 26 Jun 2026

A systematic atmospheric parameter optimization method to improve ENSO simulation in the ICON XPP Earth system model

Dakuan Yu, Dietmar Dommenget, Holger Pohlmann, and Wolfgang A. Müller

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Short summary
We developed a new method to improve how a leading climate model simulates El Niño, a major driver of global weather extremes. By testing how the model responds to small changes in key atmospheric settings, we identified which processes matter most and adjusted them systematically. This approach makes the model’s behavior closer to observations and shows a promising path for building more reliable climate predictions.
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