Articles | Volume 22, issue 1
https://doi.org/10.5194/hess-22-529-2018
https://doi.org/10.5194/hess-22-529-2018
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, Guihua Lu, Hai He, Zhiyong Wu, and Jian He

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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) (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
AR by Hai He on behalf of the Authors (26 Nov 2017)  Manuscript 
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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.