EMS Annual Meeting Abstracts
Vol. 23, EMS2026-518, 2026, updated on 22 Jun 2026
https://doi.org/10.5194/ems2026-518
EMS Annual Meeting 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Oral | Tuesday, 08 Sep, 15:15–15:30 (CEST)| Room Mission 2
ClimRisk.eu: Regional climate projections for Europe 
Petr Skalák1,2, Petr Štěpánek1, Jan Balek1,2, Pavel Zahradníček1, Radka Penčevová1,2, Jan Meitner1, Aleš Farda1, Milan Fischer1,2, and Miroslav Trnka1,2
Petr Skalák et al.
  • 1Global Change Research Institute CAS, Brno, Czech Republic (skalak.p@czechglobe.cz)
  • 2Mendel University in Brno, Institute of Agrosystems and Bioclimatology, Brno, Czech Republic

ClimRisk.eu is a web-map tool for climate change assessment in Europe. ClimRisk allows users to explore climate projections interactively and download data for any specific location across Europe. Originally launched in 2004 as the platform for climate proofing in the Czech Republic and Central Europe, it is now aiming to cover the continental Europe. ClimRisk connects observational data with climate model projections and delivers information on the level of NUTS III region or even finer spatial scale of several hundreds of km2. The underlying data inputs offer even more detailed horizontal resolution ranging from 0,5 km (Czech Republic) to ca 5 km (Europe).

ClimRisk is built on the combination of Copernicus/ECMWF CERRA reanalysis and CMIP6 global climate models. From the wide ensemble of 30 CMIP6 GCMs only 7 models were chosen for the ClimRisk based on the model validation and considering the range of the climate change signal for major climate variables from the entire CMIP6 ensemble. Four Shared Socioeconomic Pathways (SSP) scenarios are considered, and the climate projections are presented either for individual scenarios or their combination. In addition to CMIP6 GCMs, the new convection-permitting regional climate model ALADIN-Climate/CZ is included to improve representation of local processes and extreme precipitation.

For users, the platform provides long-term climatological means of key meteorological variables, including air temperature, precipitation, wind speed, humidity, and solar radiation, together with a wide range of derived climate indices, including those related to extreme events. Additional variables such as soil moisture (derived using the SoilClim model) are also available, making the platform suitable for applications in forestry, agriculture, and hydrological impact studies. The platform also provides information on the uncertainty associated with future climate projections for any selected location.

Acknowledgements.
We acknowledge support from AdAgriF – Advanced methods of greenhouse gases emission reduction and sequestration in agriculture and forest landscape for climate change mitigation (CZ.02.01.01/00/22_008/0004635) and the PERUN project (SS02030040) co-funded by the Technology Agency of the Czech Republic and the Ministry of the Environment under the Programme Environment for Life (Program Prostředí pro život).

How to cite: Skalák, P., Štěpánek, P., Balek, J., Zahradníček, P., Penčevová, R., Meitner, J., Farda, A., Fischer, M., and Trnka, M.: ClimRisk.eu: Regional climate projections for Europe , EMS Annual Meeting 2026, Utrecht, Netherlands, 6–11 Sep 2026, EMS2026-518, https://doi.org/10.5194/ems2026-518, 2026.