ClimRisk.eu - Open Climate Data up to 2100 for European Regions with a Focus on the Czech Republic

ClimRisk.eu operates across multiple spatial domains, covering both the Czech Republic and the broader European region.

For the Czech Republic, the platform provides highly detailed and accurate information based on localized climate observations and a high-resolution data grid with a spatial step of 0.5 km. In contrast, the European-scale data are derived from coarser input sources, primarily the E-OBS dataset, with a spatial resolution of 10 km.

Climate projections on ClimRisk.eu are based on simulations from the most recent generation of global climate models (GCMs) from the Coupled Model Intercomparison Project Phase 6 (CMIP6). The platform includes four selected Shared Socioeconomic Pathway (SSP) scenarios and an ensemble of seven GCMs. These models were chosen from a larger ensemble of over 20 CMIP6 GCMs to reduce data-processing demands while preserving the key statistical properties of the full set.

Because GCM outputs are subject to systematic biases - arising from the simplifications necessary to model the complex climate system - bias correction is essential for deriving reliable projections. While regional climate model (RCM) outputs can often be corrected using quantile mapping, this is not feasible for GCMs due to their coarse resolution. Instead, ClimRisk.eu employs the Advanced Delta Change (ADC) method, which enables effective bias adjustment of GCM simulations while preserving their physical consistency and multi-variable structure.

ClimRisk.eu offers long-term climatological means of key meteorological parameters (air temperature, precipitation, wind speed, humidity, solar radiation) and a wide range of derived climate indices, including those focused on extremes. It also provides information on the uncertainty associated with future climate projections for any selected location.

To improve the representation of extreme precipitation and localized events, ClimRisk.eu now also incorporates outputs from the ALADIN-Climate/CZ regional climate model, including a convection-permitting prototype (CPP).

This high-resolution RCM enables a more realistic simulation of convective processes and heavy rainfall, thereby improving projections of extreme events. This enhancement is particularly valuable for infrastructure design, local risk assessment, and planning robust adaptation strategies in the Czech Republic.

 

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).