Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 19, issue 10
Articles | Volume 19, issue 10
https://doi.org/10.5194/gmd-19-4385-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-19-4385-2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 19, issue 10
Methods for assessment of models
 | 
21 May 2026
Methods for assessment of models |  | 21 May 2026

Meta-modelling of carbon fluxes from crop and grassland multi-model outputs

Roland Hollós, Nándor Zrinyi, Zoltán Barcza, Gianni Bellocchi, Renáta Sándor, János Ruff, and Nándor Fodor

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Short summary
This work builds upon and extends previous multi-model ensemble studies by introducing five meta-modelling approaches to predict ecosystem-scale C fluxes. Our results show that meta-models consistently outperform both the multi-model median and the best individual process-based models, improving explained variance and substantially reducing bias, even for challenging fluxes such as total ecosystem respiration and net ecosystem exchange.
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