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Please use this identifier to cite or link to this item: http://hdl.handle.net/10525/304

Title: Data Assimilation Technique For Flood Monitoring and Prediction
Authors: Kussul, Natalia
Shelestov, Andrii
Skakun, Serhiy
Kravchenko, Oleksii
Keywords: Grid computing
remote sensing
modeling
international Grid projects
Issue Date: 2008
Publisher: Institute of Information Theories and Applications FOI ITHEA
Abstract: This paper focuses on the development of methods and cascade of models for flood monitoring and forecasting and its implementation in Grid environment. The processing of satellite data for flood extent mapping is done using neural networks. For flood forecasting we use cascade of models: regional numerical weather prediction (NWP) model, hydrological model and hydraulic model. Implementation of developed methods and models in the Grid infrastructure and related projects are discussed.
URI: http://hdl.handle.net/10525/304
ISSN: 1313-0463
Appears in Collections:Volume 15 Number 1

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