A Long-Term Forecast Model of Spring Runoff: The Case of the Belaya River


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The results of long-term forecasting of the spring runoff in the Belaya River basin based on the water-balance model are presented. The structure and parameters of the water-balance model equations are optimized by the Levenberg-Marquardt algorithm with restrictions imposed on the input data values. The obtained values of the equation coefficients are checked according to the Δ/σ criterion adopted in the hydrometeorological service. The reliability of the forecasting procedure is assessed by statistical calculations of the stability of their parameters and test calculations on the independent sample. All equations obtained during the numerical experiment can be suitable for making forecasts.

作者简介

D. Vasil’ev

Ufa State Aviation Technical University; Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences

编辑信件的主要联系方式.
Email: vasilevdy@ugatu.su
俄罗斯联邦, Ufa, 450008; Moscow, 119017

V. Vodopyanov

Ufa State Aviation Technical University

Email: vasilevdy@ugatu.su
俄罗斯联邦, Ufa, 450008

G. Zayzeva

Bashkir Department of Hydrometeorology and Environmental Monitoring of the Russian Hydrometeorological Service

Email: vasilevdy@ugatu.su
俄罗斯联邦, Ufa, 450105

Sh. Zakirzyanov

Ufa State Aviation Technical University

Email: vasilevdy@ugatu.su
俄罗斯联邦, Ufa, 450008

V. Semenov

Obukhov Institute of Atmospheric Physics, Russian Academy of Sciences; Institute of Geography, Russian Academy of Sciences

Email: vasilevdy@ugatu.su
俄罗斯联邦, Moscow, 119017 ; Moscow

Zh. Sivokhip

Steppe Institute, Ural Branch, Russian Academy of Sciences

Email: vasilevdy@ugatu.su
俄罗斯联邦, Orenburg, 460000

A. Chibilev

Steppe Institute, Ural Branch, Russian Academy of Sciences

Email: vasilevdy@ugatu.su
俄罗斯联邦, Orenburg, 460000

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