Articles | Volume 22, issue 10
https://doi.org/10.5194/hess-22-5125-2018
https://doi.org/10.5194/hess-22-5125-2018
Research article
 | 
04 Oct 2018
Research article |  | 04 Oct 2018

Season-ahead forecasting of water storage and irrigation requirements – an application to the southwest monsoon in India

Arun Ravindranath, Naresh Devineni, Upmanu Lall, and Paulina Concha Larrauri

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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) (23 Jul 2018) by Lixin Wang
AR by Arun Ravindranath on behalf of the Authors (26 Jul 2018)  Author's response    Manuscript
ED: Referee Nomination & Report Request started (26 Jul 2018) by Lixin Wang
RR by Anonymous Referee #2 (08 Aug 2018)
RR by Anonymous Referee #1 (13 Aug 2018)
ED: Publish as is (31 Aug 2018) by Lixin Wang
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Short summary
We present a framework for forecasting water storage requirements in the agricultural sector and an application of this framework to water risk assessment in India. Our framework involves defining a crop-specific water stress index and applying a particular statistical forecasting model to predict seasonal water stress for the crop of interest. The application focused on forecasting crop water stress for potatoes grown during the monsoon season in the Satara district of Maharashtra.