Using High Performance Computing for Online Flood Monitoring and Prediction

The main goal of this article is to describe the online flood monitoring and prediction system Floreon primarily developed for the Moravian-Silesian region in the Czech Republic and the basic process it uses for running automatic rainfall-runoff and hydrodynamic simulations along with their calibration and uncertainty modeling. It takes a long time to execute such process sequentially, which is not acceptable in the online scenario, so the use of a high performance computing environment is proposed for all parts of the process to shorten their duration. Finally, a case study on the Ostravice River catchment is presented that shows actual durations and their gain from the parallel implementation. Keywords—Flood prediction process, High performance computing, Online flood prediction system, Parallelization.