Articles | Volume 21, issue 6
Hydrol. Earth Syst. Sci., 21, 2649–2666, 2017
https://doi.org/10.5194/hess-21-2649-2017
Hydrol. Earth Syst. Sci., 21, 2649–2666, 2017
https://doi.org/10.5194/hess-21-2649-2017

Research article 06 Jun 2017

Research article | 06 Jun 2017

Scaled distribution mapping: a bias correction method that preserves raw climate model projected changes

Matthew B. Switanek et al.

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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) (14 Feb 2017) by Erwin Zehe
AR by Matthew Switanek on behalf of the Authors (24 Mar 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (24 Mar 2017) by Erwin Zehe
RR by András Bárdossy (20 Apr 2017)
RR by Uwe Ehret (24 Apr 2017)
ED: Publish as is (25 Apr 2017) by Erwin Zehe
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Short summary
The commonly used bias correction method called quantile mapping assumes a constant function of error correction values between modeled and observed distributions. Our article finds that this function cannot be assumed to be constant. We propose a new bias correction method, called scaled distribution mapping, that does not rely on this assumption. Furthermore, the proposed method more explicitly accounts for the frequency of rain days and the likelihood of individual events.