Articles | Volume 19, issue 6
Research article
02 Jun 2015
Research article |  | 02 Jun 2015

Comparing bias correction methods in downscaling meteorological variables for a hydrologic impact study in an arid area in China

G. H. Fang, J. Yang, Y. N. Chen, and C. Zammit


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 (30 Jan 2015) by Bettina Schaefli
AR by Svenja Lange on behalf of the Authors (14 Apr 2015)  Author's response
ED: Referee Nomination & Report Request started (23 Apr 2015) by Bettina Schaefli
RR by Markus Muerth (05 May 2015)
ED: Publish subject to minor revisions (Editor review) (06 May 2015) by Bettina Schaefli
AR by Gonghuan Fang on behalf of the Authors (08 May 2015)  Author's response    Manuscript
ED: Publish as is (08 May 2015) by Bettina Schaefli
Short summary
This study compares the effects of five precipitation and three temperature correction methods on precipitation, temperature, and streamflow through loosely coupling RCM (RegCM) and a distributed hydrological model (SWAT) in terms of frequency-based indices and time-series-based indices. The methodology and results can be used for other regions and other RCM and hydrologic models, and for impact studies of climate change on water resources at a regional scale.