University of Oxford – Oxford Programme for Sustainable Infrastructure Systems (OPSIS)
Global Resilience Index (GRI) Risk Viewer
AgricultureDroughtsStep 1
Global Change Research Institute CAS
The outputs presented on this website are 500m resolution maps for the Czech Republic and grid layers at the spatial resolution of the E-OBS dataset (approx. 10 km) for the Central Europe region. There are 4 SSP scenarios describing the projected future evolution of the world and a set of 7 CMIP6 GCM models accurately representing the original larger ensemble of about 20 models. Daily data of basic meteorological variables (air temperature, precipitation, wind speed, humidity, sunshine and radiation) are available from which the necessary characteristics can be derived, including those describing extremes.
Provides high-quality climate projections, indicators and hazard information that support climate risk and vulnerability assessments across multiple sectors. By combining climate scenarios, model ensembles and uncertainty information, it helps users build a robust evidence base for adaptation planning and climate-resilient investments.
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