Articles | Volume 22, issue 9
https://doi.org/10.5194/hess-22-4867-2018
https://doi.org/10.5194/hess-22-4867-2018
Research article
 | 
18 Sep 2018
Research article |  | 18 Sep 2018

Cross-validation of bias-corrected climate simulations is misleading

Douglas Maraun and Martin Widmann

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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: Publish subject to revisions (further review by editor and referees) (12 Jul 2018) by Carlo De Michele
AR by Douglas Maraun on behalf of the Authors (28 Jul 2018)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (07 Aug 2018) by Carlo De Michele
RR by Seth McGinnis (08 Aug 2018)
RR by Uwe Ehret (12 Aug 2018)
ED: Publish as is (27 Aug 2018) by Carlo De Michele
AR by Douglas Maraun on behalf of the Authors (05 Sep 2018)
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Short summary
Cross-validation of free-running bias-corrected climate change simulations against observations is misleading, because it is typically dominated by internal variability. In particular, a sensible bias correction may be rejected and a non-sensible bias correction may be accepted. We therefore propose to avoid cross-validation when evaluating bias correction of free-running bias-corrected climate change simulations. Instead, one should evaluate temporal, spatial and process-based aspects.