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measures if a drought situation becomes more likely is part of the project. The approach will be transferred into a concept for the adaptation of operation rules taking into account competing uses and target conflicts. The approach uses hydro-meteorological indices to identify the need for counter actions at an early stage. Based on this, necessary individual and site- specific solutions can be worked out for each reservoir. It is envisaged to integrate the course of action identified during the research project into a guideline for Germany. German water authorities and a wide range of reservoir operators from Germany are involved in the research project. The project ends in spring 2019. 2. DATABASE Observation data on precipitation, run-off and climate data such as temperature, evaporation or sunshine duration was provided for the project from the participating reservoir operators. The data was collected from monitoring stations located in the study area for the period from 1970 to 2016 with a temporal resolution of one day. Forecast data on precipitation was obtained from the National Oceanic and Atmospheric Administration (NOAA) [1]. Since May 2011, NOAA issues long-term forecasts of monthly values. This is a relatively short period, so that the data still lack extreme values or extreme events respectively. NOAA data is given in a grid format with a resolution of approximately 0.94 degrees. In the context of bias correction, it had to be determined with which ground stations (see Fig. 1) and observed values the NOAA data can best be correlated in order to be able to recognize and correct any bias. 385