Articles | Volume 26, issue 9
https://doi.org/10.5194/hess-26-2319-2022
https://doi.org/10.5194/hess-26-2319-2022
Research article
 | 
03 May 2022
Research article |  | 03 May 2022

Impact of bias nonstationarity on the performance of uni- and multivariate bias-adjusting methods: a case study on data from Uccle, Belgium

Jorn Van de Velde, Matthias Demuzere, Bernard De Baets, and Niko E. C. Verhoest

Model code and software

R package R2D2 M. Vrac and S. Thao https://doi.org/10.5281/zenodo.4021981

h-cel/ImpactofBiasNonstationarity: Impact of bias nonstationarity: calculations (2.0) J. Van de Velde https://doi.org/10.5281/zenodo.6501634

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Short summary
An important step in projecting future climate is the bias adjustment of the climatological and hydrological variables. In this paper, we illustrate how bias adjustment can be impaired by bias nonstationarity. Two univariate and four multivariate methods are compared, and for both types bias nonstationarity can be linked with less robust adjustment.