To cover the range of possible future climate changes, two emission scenarios have been used: RCP 2.6 and RCP 8.5 (⁠IPCC⁠ 5th Assessment Report, 2013).

The regionalization of the climate scenarios was conducted using the regional climate model STARS developed at PIK. The input for STARS was the average temperature development over Germany between the years 2011 and 2100 as projected by 21 GCMs.

For each RCP-scenario (RCP 8.5 and RCP 2.6)*, the largest (high), smallest (low) and median temperature increase was determined. For each of the three temperature developments, the temperature trend for each of the reference stations was calculated and used as input for the STARS model.  Finally, for each RCP scenario three model runs were conducted with a 1000 realizations each. From those 1000 realizations, 100 were selected based on the weighted trend of the climatological water balance. Those data sets are the basis for the climatological analysis as well as input data for the simulations of climate impacts.

The regional climate impact has been identified nationwide concerning the sectors agriculture, forestry and water balance. This was done by using a model chain developed at PIK. The links of the model chain are: "STARS STAtistical Analoge Resampling Scheme", "SWIM Soil and Water Intergrated Model", "IRMA Integrated Regional Assessment Model" and "4C-FORESEE Forest Ecosystems in a Changing Environment".

Minimum temperature, global radiation, water balance, duration of sunshine, snow depth, duration of snow days >10 cm and >30cm, number of snow days >10cm and >30cm, summer days and duration, days without precipitation, hot days and duration, frost days and duration, ice days and durations and duration of days with heavy precipitation

Reference periods for 1901-2100;

decades will be considered: in addition the difference of decades is selectable

Climate impacts concerning the following sectors and corresponding parameters will be visualized:

• Agriculture: Huglin Index, wine budburst, wine flowering, wine ripening, wine harvest ripe, late frost risk, yield winter wheat, yield silage maize, yield winter rye, aspen short-rotation coppice, black locust short-rotation coppice
• Forestry: bud burst (beech, oak, birch), fire danger index, drought index (beech, Douglas fir, oak, spruce, pine), NPP and stem increment (beech, Douglas fir, oak, spruce, pine)
• Water: evapotranspiration, ground water recharge, total runoff
• Energy: photovoltaic
• health and tourism: hot and humid days, swimming days

The online platform serves as a tool for the development of adaptation measures.