Articles | Volume 22, issue 1
Hydrol. Earth Syst. Sci., 22, 287–303, 2018
https://doi.org/10.5194/hess-22-287-2018

Special issue: Sub-seasonal to seasonal hydrological forecasting

Hydrol. Earth Syst. Sci., 22, 287–303, 2018
https://doi.org/10.5194/hess-22-287-2018

Research article 15 Jan 2018

Research article | 15 Jan 2018

Regression-based season-ahead drought prediction for southern Peru conditioned on large-scale climate variables

Eric Mortensen 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: Publish subject to revisions (further review by Editor and Referees) (25 Sep 2017) by Fredrik Wetterhall
AR by Anna Wenzel on behalf of the Authors (01 Nov 2017)  Author's response
ED: Publish subject to minor revisions (review by editor) (09 Nov 2017) by Fredrik Wetterhall
ED: Referee Nomination & Report Request started (16 Nov 2017) by Fredrik Wetterhall
RR by Shaun Harrigan (21 Nov 2017)
ED: Publish subject to technical corrections (21 Nov 2017) by Fredrik Wetterhall
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Short summary
Some do not realize the intrinsic importance of water until there is no water left. This is the reality faced by people in southern Peru, a dry area of the world where several economic activities and cities vie for scarce water resources. With the developed season-ahead precipitation prediction model, stakeholders and decision makers in this region will have another tool in their belt to respond to and plan for the negative impacts brought on by drought.