Use of a snowmelt model for weekly flood forecast for a major reservoir in Lithuania

• Published in: Annals of Glaciology
• Main Authors: Simaitytė Volskienė, Jurgita, Bocchiola, Daniele, Augutis, Juozas, Rosso, Renzo
• Format: Article in Journal/Newspaper
• Language: English
• Published: 2008
• Subjects: Reservoir; Hydropower system; Forecast; Straipsnis Clarivate Analytics Web of Science / Article in Clarivate Analytics Web of Science (S1); Matematika / Mathematics (N001); Annals of Glaciology
• Online Access: https://doi.org/10.3189/172756408787814988

A snowmelt model is used for the weekly forecast of daily discharges in the Kaunas reservoir, Lithuania. The results are used to feed a risk-based decision-making model developed by the first author for dam operation during floods. Physically based calibration of a degree-day model is carried out and coupled with flow routing using Nash's instantaneous unit hydrograph theory. Temperature forecast is used as the driving variable. Due to the relative smoothness of snowmelt over time and the considerable basin size, the model provides cceptable results. Kalman filtering is then used to merge the estimates from the snowmelt model with those from an ARIMA flow model, resulting in better forecasting than that using each method alone. Uncertainty analysis of the snowmelt-model results is then carried out, snowing considerable influence of the main parameter degree-day and ofsoil moisture conditions. Therefore these must be accurately estimated for forecasting purposes during flood events Lietuvos energetikos institutas Vytauto Didžiojo universitetas