Articles | Volume 20, issue 5
Hydrol. Earth Syst. Sci., 20, 2019–2034, 2016
https://doi.org/10.5194/hess-20-2019-2016
Hydrol. Earth Syst. Sci., 20, 2019–2034, 2016
https://doi.org/10.5194/hess-20-2019-2016

Research article 17 May 2016

Research article | 17 May 2016

Precipitation ensembles conforming to natural variations derived from a regional climate model using a new bias correction scheme

Kue Bum Kim 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 (09 Dec 2015) by Bart van den Hurk
AR by Kue Bum Kim on behalf of the Authors (18 Jan 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (27 Jan 2016) by Bart van den Hurk
ED: Publish subject to minor revisions (Editor review) (06 Apr 2016) by Bart van den Hurk
AR by Lorena Grabowski on behalf of the Authors (18 Apr 2016)  Author's response
ED: Publish as is (29 Apr 2016) by Bart van den Hurk
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Short summary
A primary advantage of using model ensembles for climate change impact studies is to represent the uncertainties associated with models through the ensemble spread. Currently, most of the conventional bias correction methods adjust all the ensemble members to one reference observation. As a result, the ensemble spread is degraded during bias correction. However the proposed method is able to correct the bias and conform to the ensemble spread so that the ensemble information can be better used.