Articles | Volume 23, issue 3
https://doi.org/10.5194/hess-23-1339-2019
https://doi.org/10.5194/hess-23-1339-2019
Research article
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11 Mar 2019
Research article | Highlight paper |  | 11 Mar 2019

Effects of univariate and multivariate bias correction on hydrological impact projections in alpine catchments

Judith Meyer, Irene Kohn, Kerstin Stahl, Kirsti Hakala, Jan Seibert, and Alex J. Cannon

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Short summary
Several multivariate bias correction methods have been developed recently, but only a few studies have tested the effect of multivariate bias correction on hydrological impact projections. This study shows that incorporating or ignoring inter-variable relations between air temperature and precipitation can have a notable effect on the projected snowfall fraction. The effect translated to considerable consequences for the glacio-hydrological responses and streamflow components of the catchments.