Data Assimilation Technique For Flood Monitoring and Prediction


Autoria(s): Kussul, Natalia; Shelestov, Andrii; Skakun, Serhiy; Kravchenko, Oleksii
Data(s)

09/04/2009

09/04/2009

2008

Resumo

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.

Identificador

1313-0463

http://hdl.handle.net/10525/304

Idioma(s)

en

Publicador

Institute of Information Theories and Applications FOI ITHEA

Palavras-Chave #Grid computing #remote sensing #modeling #international Grid projects
Tipo

Article