Articles | Volume 22, issue 4
https://doi.org/10.5194/hess-22-2073-2018
https://doi.org/10.5194/hess-22-2073-2018
Research article
 | 
04 Apr 2018
Research article |  | 04 Apr 2018

Long-term ensemble forecast of snowmelt inflow into the Cheboksary Reservoir under two different weather scenarios

Alexander Gelfan, Vsevolod Moreydo, Yury Motovilov, and Dimitri P. Solomatine

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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by Editor and Referees) (01 Oct 2017) by Ilias Pechlivanidis
AR by Vsevolod Moreydo on behalf of the Authors (12 Nov 2017)  Author's response   Manuscript 
ED: Referee Nomination & Report Request started (26 Nov 2017) by Ilias Pechlivanidis
RR by Anonymous Referee #2 (29 Dec 2017)
RR by Anonymous Referee #4 (14 Jan 2018)
ED: Publish subject to minor revisions (review by editor) (04 Feb 2018) by Ilias Pechlivanidis
AR by Vsevolod Moreydo on behalf of the Authors (14 Feb 2018)  Author's response   Manuscript 
ED: Publish as is (25 Feb 2018) by Ilias Pechlivanidis
AR by Vsevolod Moreydo on behalf of the Authors (06 Mar 2018)
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Short summary
We describe a forecasting procedure that is based on a semi-distributed hydrological model using two types of weather ensembles for the lead time period: observed weather data, constructed on the basis of the ESP methodology, and synthetic weather data, simulated by a weather generator. We compare the described methodology with the regression-based operational forecasts that are currently in practice and show the increased informational content of the ensemble-based forecasts.