Assimilation method for hydrology models: FEWS Kolubara case study eng The role of the flood early warning system is to provide information on forecasted water levels along river reaches obtained using mathematical models. Accordingly, it is necessary to ensure adequate initial conditions of mathematical models for the forecast period. Initial conditions are provided through the assimilation process, where corrections to input data, states, or model parameters are made based on the difference between observed and modeled values in the pre-forecast period. This paper presents the initial testing results of the proposed assimilation method for a hydrological-hydraulic model within the Kolubara Flood Early Warning System, based on solving an optimization problem using a genetic algorithm. info:eu-repo/semantics/conferenceProceedings Stojadinović, Luka Milašinović, Miloš Janjić, Darko Milivojević, Nikola 15th International Conference on Information Society and Technology, Kopaonik, Serbia, March 9-12 2025 startpage: 71 endpage: 83 https://unilib.phaidrabg.rs/o:8798 2025 flood forecast, assimilation, hydrology, genetic algorithm Information Society of Serbia – ISOS, Belgrade, Serbia application/pdf 798310 bytes http://creativecommons.org/licenses/by-nc-nd/4.0/legalcode