ClimRisk.eu – new climate proofing tool for Central Europe

ClimRisk.eu is a new web portal about climate change projections and underlying data needed for climate proofing. ClimRisk.eu is designed for investors planning their investments to withstand the future climate conditions. It is intended to help the public organizations to formulate their policies and plan specific adaptation measures. It is also a tool for companies and private entities to comply with the EU requirements to assess the sustainability of investments (EU Regulation 2021/1060, the so-called EU Taxonomy). ClimRisk.eu also serves as the data source for individuals and broad public and their climate-related personal interests.

ClimRisk.eu works over two domains: Czech Republic and Central Europe. Information for the Czech Republic is based on more detailed and accurate data inputs, e.g. climate observations and it is derived from high resolution data grid of 0.5 km step. The data on the Central European domain is built on the less detailed data sources and thus the spatial resolution reaches only 10 km. Climate projections are delivered for four selected Shared Socioeconomic Pathways (SSP) scenarios and ensemble of seven Coupled Model Intercomparison Project Phase 6 global climate models (GCMs). The set of seven  GCMs was taken from a larger ensemble consisted of more than 20 CMIP6 GCMs and its choice was done to reduce the effort needed to process all data while keeping the statistical properties of the original ensemble of more than 20 GCMs.ClimRisk.eu offers long-term means of meteorological parameters (air temperature, precipitation, wind speed, humidity, solar radiation) as well as important climate indices including those focused on extremes. Information on the range of uncertainty related to climate projection for a given territory is also included at ClimRisk.eu.

Analysis of future climate conditions is based on simulations of the most recent generation of global climate models (GCM). Given the outputs of climate models are associated with systematic errors (due to the necessary simplification of the complex real-world processes), they need to be corrected in order to obtain meaningful results about the simulated properties of the climate system. In case of GCM it is not possible to apply correction methods suitable for RCMs, like quantile mapping. In this case this is made possible by the Advanced Delta Change ("ADC") method.