DOI:
https://doi.org/10.18751/climate/scenarios/ch2025/data/1.0
Name:
Climate CH2025 - Daily Datasets
Version and publication year:
1.0.0 / 2025
Citation:
MeteoSwiss & ETH Zurich (2025): Climate CH2025 - Daily Datasets. Federal Office of Meteorology and Climatology MeteoSwiss, Zurich, https://doi.org/10.18751/climate/scenarios/ch2025/data/1.0
Licence:
The localised Climate CH2025 datasets consist of 30-year daily time series for different global warming levels (GWL) and the reference period 1991–2020 for several climate variables at individual Swiss stations (DAILY-LOCAL) and on a regular 1 km grid covering the area of Switzerland (DAILY-GRIDDED). The data were produced by applying a statistical bias-correction and downscaling method to the original output of all EURO-CORDEX climate model simulations. This data is primarily useful for research purposes or professional consulting. Further information on the available simulations and variables, limitations and a list of available Swiss stations can be found here:
A detailed description of the method and the underlying datasets is provided by the Climate CH2025 Scientific Report (MeteoSwiss & ETH Zurich, 2025; chapters 2 and 6). For questions and advice regarding data usage, please contact us via the contact form.
The DAILY-LOCAL and DAILY-GRIDDED datasets are accessible via the Open Government Data (OGD) platform of MeteoSwiss
The Climate CH2025 datasets are provided under the CC BY 4.0 licence. This includes the right to share (copy and redistribute in any medium or format) and adapt (remix, transform, and build upon for any purpose, even commercially) the data under the condition that the data is correctly cited (see above). Please note also that all material is provided without any warranties and guarantees.
The Climate CH2025 climate scenarios are based on regional climate projections from EURO-CORDEX, the European branch of the CORDEX initiative (Coordinated Regional Climate Downscaling Experiment).
Based on the DAILY-LOCAL and DAILY-GRIDDED daily time series, a further series of datasets has been created. These contain 30-year averaged change signals from seasonal and annual average values as well as climate indicators. They are particularly suitable for practical applications, such as studies to derive adaptation measures. These data are accessible via the Climate CH2025 web atlas.