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Using High Performance Computing for Online Flood Monitoring and Prediction

Authors: Stepan Kuchar, Michal Podhoranyi, Martin Golasowski, Radim Vavrik, Boris Sir, Jan Martinovic

Abstract:

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: parallelization, flood prediction process, online flood prediction system, High performance computing

Digital Object Identifier (DOI): doi.org/10.5281/zenodo.1100428

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