Articles | Volume 13, issue 10
https://doi.org/10.5194/gmd-13-5007-2020
https://doi.org/10.5194/gmd-13-5007-2020
Methods for assessment of models
 | 
26 Oct 2020
Methods for assessment of models |  | 26 Oct 2020

A new bias-correction method for precipitation over complex terrain suitable for different climate states: a case study using WRF (version 3.8.1)

Patricio Velasquez, Martina Messmer, and Christoph C. Raible

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Latest update: 02 Dec 2023
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Short summary
This work presents a new bias-correction method for precipitation that considers orographic characteristics, which can be used in studies where the latter strongly changes. The three-step correction method consists of a separation into orographic features, correction of low-intensity precipitation, and application of empirical quantile mapping. Seasonal bias induced by the global climate model is fully corrected. Rigorous cross-validations illustrate the method's applicability and robustness.