This report presents the results from the project called " Utilisation of weather radar data in atmospheric and hydrological models" funded by NFR and Energy Norway This report synthesizes the different rainfall products we can provide: radar, kriged data, combination of radar and raingauges data using the Todini method, stochastic simulation conditioned with raingauges, combination of radar and conditioned stochastic simulation. All these product can be produced using open source R scripts. Radar data provides excellent spatial information with a realistic dynamic. It can be used as input into a distributed hydrologic model . Kriging is an optimal interpolation which respects the amount of rain over the studied area. The areal mean of this product can be used as input into lump hydrological model. The expectation of the conditioned simulation can be used as well in this case. Furthermore, this last product respects a temporal correction of the rainfall phenomena. The combination using the Todini method is a fast method to combine both radar and raingauges. It enables to provide quickly long time series to use as input into hydrological model. The conditioned simulation provides several probable scenarios coherent in space and in time. This product enables to take into account some unobserved but probable scenarios. This product is useful for testing extreme non-observed event.