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Hatching indicates regions where the multi- model mean signal is less than 1 standard deviation of internal variability. Stippling indicates regions where the multi- model mean signal is greater than 2 standard deviations of internal variability and where 90% of models agree on the sign of change.
The map shows the observed and projected climate change and impacts for the main biogeographical regions in Europe
The map is based on gridded data and shows the results of a multi-hazard assessment, considering the following seven hazards: heat waves, cold waves, droughts, wildfires, river floods, coastal floods and windstorms. The maps shows by how many hazards each grid cell is projected to be affected.
The map shows the farming systems in Europe and location of MASCUR regional pilot studies based on the NUTS level 1.
This map shows the projected impacts of climate change on electricity production from four different sources in four European regions. Green denotes positive impacts whereas red denotes negative impacts.
Polygons have been created for the CCIV-2016 report. The polygons have no clear definition and should not be regarded as defined legal boundaries.
The map base are the climatic regions in Europe. The map considers 6 extreme weather events and their probability of occurrence in future (2050 and beyond), and their probability of impacting on transport infrastructure (3 threshold levels: 33%, 66%, 99%).
The map provides a simple overview which EEA member countries have conducted detailed studies, general studies or no studies on the vulnerability of the transport sector to climate change.
Stations available in the European Climate Assessment and Datasets (ECA&D) (with different lengths of records) for daily mean temperature and daily precipitation amount. Green dots represent downloadable data and red dots present station used in addition in gridded products.
The map shows the estimated climate vulnerability, and the EU imports from outside the EU (largest import countries only)
For references, please go to https://www.eea.europa.eu/data-and-maps/find/global or scan the QR code.
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