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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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Volume 22, issue 1
Hydrol. Earth Syst. Sci., 22, 143–157, 2018
https://doi.org/10.5194/hess-22-143-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Special issue: Sub-seasonal to seasonal hydrological forecasting

Hydrol. Earth Syst. Sci., 22, 143–157, 2018
https://doi.org/10.5194/hess-22-143-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 09 Jan 2018

Research article | 09 Jan 2018

Does objective cluster analysis serve as a useful precursor to seasonal precipitation prediction at local scale? Application to western Ethiopia

Ying Zhang et al.
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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) (02 Jun 2017) by Q.J. Wang
AR by Anna Wenzel on behalf of the Authors (17 Jul 2017)  Author's response
ED: Referee Nomination & Report Request started (20 Jul 2017) by Q.J. Wang
RR by Anonymous Referee #2 (28 Jul 2017)
RR by Anonymous Referee #1 (04 Aug 2017)
ED: Reconsider after major revisions (further review by Editor and Referees) (09 Aug 2017) by Q.J. Wang
AR by Svenja Lange on behalf of the Authors (20 Sep 2017)  Author's response
ED: Referee Nomination & Report Request started (24 Sep 2017) by Q.J. Wang
RR by Anonymous Referee #1 (02 Oct 2017)
RR by Anonymous Referee #2 (19 Oct 2017)
ED: Publish subject to minor revisions (review by editor) (25 Oct 2017) by Q.J. Wang
AR by Svenja Lange on behalf of the Authors (02 Nov 2017)  Author's response
ED: Publish as is (12 Nov 2017) by Q.J. Wang
Publications Copernicus
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Short summary
The study proposes advancing local-level seasonal rainfall predictions by first conditioning on regional-level predictions, as defined through cluster analysis. This statistical approach is applied to western Ethiopia, where lives and livelihoods are vulnerable to its high spatial–temporal rainfall variability, particularly given the high reliance on rain-fed agriculture. The statistical model improves in skills versus the non-clustered case or dynamical models for some critical regions.
The study proposes advancing local-level seasonal rainfall predictions by first conditioning on...
Citation