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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Latest update: 27 Feb 2024
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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.