To meet these user needs, MeteoSwiss and ETH Zurich have developed a method for subsampling members from a climate model ensemble of the CH2018 climate scenarios (Sikorska-Senoner et al. 2024). The methodology is based on initial analyses conducted as part of the CH2018 climate scenarios (Strassmann and Fischer, Chapter 10.4 in the CH2018 Technical Report). The ensemble sub-selection developed on the basis of CH2018 has now been updated for the new Swiss climate scenarios, Klima CH2025 (MeteoSwiss and ETH Zurich, 2025a).
The method selects ensemble members based on the strength of the climate change signal (CCS), which has been calculated for a range of climate indicators. For each application and each GWL
(Global Warming Level) three representative ensemble members are selected, representing the median (50th percentile), the strongest (95th percentile) and the weakest (5th percentile) CCS. This sub-selection allows the spread of the complete climate model ensemble to be represented to a certain extent. In principle, the use of the complete ensemble is recommended. The sub-selection should only be used if this is not possible.
Users can choose between seven predefined application cases covering the whole of Switzerland, as well as the five major regions of Switzerland and various geographical areas. The simulations or ensemble members selected via the sub-selection can be used for both the DAILY-GRIDDED and DAILY-LOCAL datasets from Climate CH2025. The pre-calculated tables and graphs are available in the CH2025 Web Atlas, i.e. CH2025: Ensemble Sub-selection. A sub-selection for an expert case is also available on request.
The detailed methodology of the original ensemble sub-selection based on the earlier CH2018 climate scenarios is described in Sikorska-Senoner et al. (2024). A summary of the ensemble sub-selection, updated for the CH2025 climate scenarios, can be found in «Guide for users».
Application cases