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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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (16 Jan 2019) by Luis Samaniego
AR by Irene Kohn on behalf of the Authors (22 Feb 2019)  Author's response    Manuscript
ED: Publish as is (25 Feb 2019) by Luis Samaniego
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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.