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Hydrology and Earth System Sciences An interactive open-access journal of the European Geosciences Union
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HESS | Articles | Volume 22, issue 1
Hydrol. Earth Syst. Sci., 22, 529–546, 2018
https://doi.org/10.5194/hess-22-529-2018
© 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, 529–546, 2018
https://doi.org/10.5194/hess-22-529-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 3.0 License.

Research article 22 Jan 2018

Research article | 22 Jan 2018

A conceptual prediction model for seasonal drought processes using atmospheric and oceanic standardized anomalies: application to regional drought processes in China

Zhenchen Liu 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) (25 May 2017) by Maria-Helena Ramos
AR by Hai He on behalf of the Authors (10 Jun 2017)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (12 Jun 2017) by Maria-Helena Ramos
RR by Anonymous Referee #1 (07 Jul 2017)
RR by Anonymous Referee #2 (20 Jul 2017)
ED: Publish subject to minor revisions (further review by Editor) (20 Jul 2017) by Maria-Helena Ramos
AR by Hai He on behalf of the Authors (28 Jul 2017)  Author's response    Manuscript
ED: Publish subject to technical corrections (19 Nov 2017) by Maria-Helena Ramos
Publications Copernicus
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Short summary
Process prediction of seasonal drought is the goal of our study. We developed a drought prediction model based on atmospheric–oceanic anomalies. It is essentially the synchronous statistical relationship between atmospheric–oceanic anomalies and precipitation anomalies, forced by seasonal climate forecast models. It can predict seasonal drought development very well, despite its weakness in drought severity.
Process prediction of seasonal drought is the goal of our study. We developed a drought...
Citation