UNCERTAINTY MODELLING IN RAINFALL-RUNOFF SIMULATIONS BASED ON PARALLEL MONTE CARLO METHOD

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 disc...

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Bibliographic Details
Published in:	Neural Network World Vol. 25; no. 3; pp. 267 - 286
Main Authors:	Golasowski, M, Litschmannova, M, Kuchar, S, Podhorányi, M, Martinovic, J
Format:	Journal Article
Language:	English
Published:	Prague Institute of Information and Computer Technology 01.01.2015 Czech Technical University in Prague, Faculty of Transportation Sciences
Subjects:	Computer simulation Discharge High performance computing Mathematical models Modelling Monte Carlo simulation Precipitation Rain Rivers Runoff Uncertainty Monte Carlo method kernel density estimation high performance computing uncertainty modelling Rainfall-Runoff
ISSN:	1210-0552, 2336-4335
Online Access:	Get full text
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