Articles | Volume 18, issue 20
https://doi.org/10.5194/gmd-18-8017-2025
https://doi.org/10.5194/gmd-18-8017-2025
Methods for assessment of models
 | 
29 Oct 2025
Methods for assessment of models |  | 29 Oct 2025

Intercomparison of bias correction methods for precipitation of multiple GCMs across six continents

Young Hoon Song and Eun-Sung Chung

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Latest update: 30 Oct 2025
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Short summary
This study assessed three methods for correcting daily precipitation data: Quantile Delta Mapping, Empirical Quantile Mapping (EQM), and Detrended Quantile Mapping (DQM) using 11 GCMs. EQM performed best overall, offering reliable corrections and lower uncertainty. The best bias correction method for each grid is selected differently depending on the weighting case. The best bias correction method can vary depending on factors such as climate and terrain.
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