Forecasting Ice Jam Peak Levels of the Sukhona River near Veliky Ustyug

M. V. Georgievskiia, *, A. V. Babkina, N. I. Goroshkovaa, A. V. Strizhenoka, and D. A. Semenovaa

aState Hydrological Institute, St. Petersburg, 199053 Russia

email: *mgeorgievsky@hotmail.com

Received 21 March, 2023

Abstract— The paper presents the analysis, modeling, and forecasting of the time series of the ice jam peak water level of the Sukhona River near Veliky Ustyug, taking into account the predictors selected by the multiple regression technique. A methodology based on the multiple regression that uses the results of modeling by the method developed by V.A. Buzin as a separate predictor is proposed. This approach has improved the forecast skill and forecast results. The observed and predicted values are significantly correlated.

Keywords: water level, ice jam, ice thickness, ice jam flood, ice jam peak level forecast, linear and multiple regression

DOI: 10.3103/S1068373923120063