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Proceedings of the International Association of Hydrological Sciences An open-access publication for refereed proceedings in hydrology

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Proc. IAHS, 369, 115-120, 2015
© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.
11 Jun 2015
Ensemble seasonal forecast of extreme water inflow into a large reservoir
A. N. Gelfan1,2, Yu. G. Motovilov1,2, and V. M. Moreido1 1Water Problems Institute of RAS, Moscow, Russia
2P.P. Shirshov Institute of Oceanology of RAS, Moscow, Russia
Abstract. An approach to seasonal ensemble forecast of unregulated water inflow into a large reservoir was developed. The approach is founded on a physically-based semi-distributed hydrological model ECOMAG driven by Monte-Carlo generated ensembles of weather scenarios for a specified lead-time of the forecast (3 months ahead in this study). Case study was carried out for the Cheboksary reservoir (catchment area is 374 000 km2) located on the middle Volga River. Initial watershed conditions on the forecast date (1 March for spring freshet and 1 June for summer low-water period) were simulated by the hydrological model forced by daily meteorological observations several months prior to the forecast date. A spatially distributed stochastic weather generator was used to produce time-series of daily weather scenarios for the forecast lead-time. Ensemble of daily water inflow into the reservoir was obtained by driving the ECOMAG model with the generated weather time-series. The proposed ensemble forecast technique was verified on the basis of the hindcast simulations for 29 spring and summer seasons beginning from 1982 (the year of the reservoir filling to capacity) to 2010. The verification criteria were used in order to evaluate an ability of the proposed technique to forecast freshet/low-water events of the pre-assigned severity categories.

Citation: Gelfan, A. N., Motovilov, Yu. G., and Moreido, V. M.: Ensemble seasonal forecast of extreme water inflow into a large reservoir, Proc. IAHS, 369, 115-120,, 2015.
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