On the Forecast of Long-Term Changes in the Hydrological Regime of Rivers Using the Results of Climate Modeling


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A method is proposed for probabilistic forecasting of river flow under non-stationary conditions based on the Bayesian approach and using the results of climatic system modeling. A forecast is given for the minimal discharge of the Volga basin rivers based on the correlation between variations of winter runoff and increments in winter air temperatures. The effect of the inter-model dispersion of the predicted air temperature on the results of river flow forecasting is examined.

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M. Bolgov

Water Problems Institute, Russian Academy of Sciences

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Email: bolgov@iwp.ru
俄罗斯联邦, Moscow, 119333

I. Filippova

Water Problems Institute, Russian Academy of Sciences

Email: bolgov@iwp.ru
俄罗斯联邦, Moscow, 119333

E. Korobkina

Water Problems Institute, Russian Academy of Sciences

Email: bolgov@iwp.ru
俄罗斯联邦, Moscow, 119333

M. Trubetskova

Water Problems Institute, Russian Academy of Sciences

Email: bolgov@iwp.ru
俄罗斯联邦, Moscow, 119333

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