Mining environmental data in hydrological scenarios

We present data mining methods which are used in a hydro-meteorological scenarios within the FP7 project ADMIRE¹. The scenarios uses data mining techniques instead of more common physical models in order to predict phenomena which are not being ordinarily solved in Slovakia-water temperature, discharge wave propagation downstream of a major water reservoir and short-term rainfall prediction by analyzing radar imagery. These scenarios are one of a set of use cases, which form the Flood Forecasting Simulation Cascade - a pilot application of ADMIRE project. We describe the variables used in data mining training of these scenarios and also an introduction to the data integration methodology approach we have devised.