Gridded data of daily mean temperature with 5 km horizontal resolution covering river basins of Germany and neighbouring countries from 1951 until 2006 provided by the hydrometeorology of Deutscher Wetterdienst. More details about the data set can be found in Frick et al. 2014, MetZ For data requests please send an e-mail to hydromet@dwd.de

Gridded data of daily mean relative humidity with 5 km horizontal resolution covering river basins of Germany and neighbouring countries from 1951 until 2006 provided by the hydrometeorology of Deutscher Wetterdienst. More details about the data set can be found in Frick et al. 2014, MetZ For data requests please send an e-mail to hydromet@dwd.de

Gridded data of daily precipitation with 1 or 5 km horizontal resolution for covering river basins of Germany and neighbouring countries from 1951 until 2006 provided by the hydrometeorology of Deutscher Wetterdienst. More details about the data set can be found in Rauthe et al. 2013, MetZ, DOI:10.1127/0941-2948/2013/0436 For data requests please send an e-mail to hydromet@dwd.de

Gridded data of daily data with 1 or 5 km horizontal resolution for covering river basins of Germany and neighbouring countries from 1951 until 2006 provided by the hydrometeorology of Deutscher Wetterdienst. The three data sets have the following status/version at the moment: precipitation: v.2.0 temperature: v1.01 relative humidity v1.01 For data requests please send an e-mail to hydromet@dwd.de

Objective weather types of Deutscher Wetterdienst derived from different Reanalysis and Global Climate Model simulations for the control run (1951-2000) and the projection period (2000-2100). Furthermore, the NAO-index is also provided. On the one hand, the dataset is useful for evaluation of representative circulation statistics in Central Europe, on the other hand, for the analysis of future weather types due to climate change. Added temperature and precipitation data allow to study the weather type effectiveness for these important climate parameters.

Objective weather types of Deutscher Wetterdienst derived from different Reanalysis and Global Climate Model simulations for the control run (1951-2000) and the projection period (2000-2100). Forthermore, the NAO-index is also provided. On the one hand, the dataset is useful for evaluation of representative circulation statistics in Central Europe, on the other hand, for the analysis of future weather types due to climate change. Added temperature and precipitation data allow to study the weather type effectiveness for these important climate parameters.