Articles | Volume 21, issue 10
Hydrol. Earth Syst. Sci., 21, 4989–5007, 2017
https://doi.org/10.5194/hess-21-4989-2017
Hydrol. Earth Syst. Sci., 21, 4989–5007, 2017
https://doi.org/10.5194/hess-21-4989-2017

Research article 06 Oct 2017

Research article | 06 Oct 2017

Effects of different reference periods on drought index (SPEI) estimations from 1901 to 2014

Myoung-Jin Um 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) (23 Dec 2016) by Stacey Archfield
AR by Yeonjoo Kim on behalf of the Authors (30 Dec 2016)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (12 Jan 2017) by Stacey Archfield
RR by Anonymous Referee #1 (28 Jan 2017)
RR by Anonymous Referee #2 (09 Feb 2017)
ED: Reconsider after major revisions (further review by Editor and Referees) (28 Feb 2017) by Stacey Archfield
AR by Yeonjoo Kim on behalf of the Authors (13 Apr 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (13 May 2017) by Stacey Archfield
RR by Anonymous Referee #3 (06 Jun 2017)
RR by Anonymous Referee #4 (30 Jun 2017)
ED: Publish subject to revisions (further review by Editor and Referees) (18 Jul 2017) by Stacey Archfield
AR by Yeonjoo Kim on behalf of the Authors (11 Aug 2017)  Author's response    Manuscript
ED: Publish subject to technical corrections (29 Aug 2017) by Stacey Archfield
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Short summary
This study aims to understand how different reference periods (i.e., calibration periods) of climate data for estimating the drought index influence regional drought assessments. Specifically, we investigate the influence of different reference periods on historical drought characteristics such as trends, frequency, intensity and spatial extents using the Standard Precipitation Evapotranspiration Index (SPEI) estimated from the two widely used global datasets.