Uncertainty modelling in Rainfall-Runoff simulations based on parallel Monte Carlo method

Martin Golasowski, Martina Litschmannová, Štěpán Kuchař, Michal Podhorányi, Jan Martinovič

Abstract


This article describes statistical evaluation of the computational model for precipitation forecast and proposes a method for uncertainty modelling of rainfall-runoff models in the Floreon+ system based on this evaluation. The Monte-Carlo simulation method is used for estimating possible river discharge and provides several confidence intervals that can support the decisions in operational disaster management. Experiments with other parameters of the model and their influence on final river discharge are also discussed.

Keywords


rainfall-runoff; uncertainty modelling; kernel density estimation; Monte Carlo method; high performance computing

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References


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DOI: http://dx.doi.org/10.14311/NNW.2015.%25x

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