In order to improve the significance of the precipitation forecast, in a second step we analysed the possibility of adding atmospherical predictors, such as the occurrences of specific weather regimes in winter and of blocking situations in summer. Firstly, the occurrences of different weather types using ERA Interim reanalysis and extreme observed SPI-1 are studied to highlight potential relationships. Then , by using Discriminant Analysis, the occurrences of weather regimes in winter or blocking situations in summer are used to predict extreme events of monthly precipitation in Europe. Over several parts of Europe (especially in the Northern part), results show strong links. Due to their spatial structures, extreme dry periods are still better forecasted than the extreme wet periods. Finally a combined method, using the SPI forecast and the predictors, is proposed to produce an early warning of extreme events in Europe.