Articles | Volume 22, issue 4
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


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) (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
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.