Articles | Volume 19, issue 11
https://doi.org/10.5194/gmd-19-4961-2026
https://doi.org/10.5194/gmd-19-4961-2026
Development and technical paper
 | 
12 Jun 2026
Development and technical paper |  | 12 Jun 2026

Iterative run-time bias corrections in an atmospheric GCM (LMDZ v6.3)

Gerhard Krinner, Aude Champouillon, Juliette Blanchet, and Frédérique Chéruy

Data sets

Krinner et al., Iterative run-time bias corrections in an atmospheric GCM (LMDZ v6.3) - LMDZ configuration files, output data and analysis scripts G. Krinner https://doi.org/10.5281/zenodo.16363996

Model code and software

Krinner et al., Iterative run-time bias corrections in an atmospheric GCM (LMDZ v6.3) - model infrastructure and code G. Krinner https://doi.org/10.5281/zenodo.17381281

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Short summary
Although the scientific community has made much progress over the last decades, climate models still do not perfectly simulate the present climate. Therefore, the model outputs are usually corrected for these errors. This article presents a method to apply successive stages of repeated error correction that lead to a better simulation of the present climate than in previous studies, in which the same correction method had been applied only once.
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