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Figure File ZIP archive Data-package.zip
 
Briefing Eionet core data flows 2021
The European Environment Information and Observation Network (Eionet) is a partnership network of the EEA and its member and cooperating countries. This briefing presents the results of data collected in 2021 for 11 Eionet core data flows. It summarises the evaluation of hundreds of data deliveries received from reporting countries. The purpose of the briefing is to show progress against agreed reporting criteria (timeliness and data quality), allowing countries to identify and prioritise the resources they need for regular reporting procedures. The provision of high-quality data by Eionet is fundamental for the EEA to achieve its mission to provide timely, targeted, relevant and reliable information to policy-making agents and the public.
Figure Potential quiet areas in Europe based upon the quietness suitability index (QSI)
The quietness suitability index (QSI) provides the overview with the highest (QSI=1) and lowest (QSI=0) proportion of potential quiet areas in Europe.
Figure File Potential quiet areas in Europe based upon the quietness suitability index (QSI)
 
Image PNG image 107316_MAP4.5-MAP-Potential-quiet-areas-in-Europe-based-upon_v2.eps.75dpi.png
 
Image TIFF image 107316_MAP4.5-MAP-Potential-quiet-areas-in-Europe-based-upon_v2.eps.75dpi.tif
 
Image GIF image 107316_MAP4.5-MAP-Potential-quiet-areas-in-Europe-based-upon_v2.eps.75dpi.gif
 
Image PNG image 107316_MAP4.5-MAP-Potential-quiet-areas-in-Europe-based-upon_v2.eps.zoom.png
 
Figure File PostScript document Potential quiet areas in Europe based upon the quietness suitability index (QSI)
 
External Data Spec Potential quiet areas in Europe, based upon Quietness Suitability Index (QSI) and Natura 2000 protected areas
 
Figure File ZIP archive Map-package.zip
 
External Data Spec Vulnerability deciles (direct link to dataset not available)
The vulnerability index is composed of six socioeconomic variables: GDP per capita, proportion of adults with higher education, proportion of elderly, proportion of artitifical surfaces, proportion of elderly living alone, overweight prevalence. Each variable was normalised - spatially and temperally - using a linear min-max rescaling. The variables received equal weight before summation. The vulnerability index was computed under current (2015) socioeconomic conditions (the baseline) and under four Shared Socioeconomic Pathways (SSPs) for the year 2050. Population and GDP projections were retrieved from the Joint Research Centre at a 0.1° spatial resolution. Projections of artificial surfaces were produced in the IMPRESSIONS project for a 10' lat-lon spatial grid using a regional urban growth model parametrised with assumptions of age group-specific residential preferences under the four European SSPs. Age-specific population projections at NUTS-2 level were retreieved from the IMPRESSIONS project and further downscaled ona 0.1° spatial grid. Education projections were retrieved from quantification of the global SSPs at national scale and further downscaled to NUTS-2 level and finally disaggregated to a 0.1° spatial grid assuming a homogeneous proportion of people with higher education within each NUTS-2 region. Projections of overweight prevalence and of the proportion of elderly living alone are based on expert-based modelling approach. More information on the methodology can be found in https://doi.org/10.1016/j.gloplacha.2018.09.013.
External Data Spec Number of summer heat wave days (HWs) (direct link to dataset not available)
Heat waves are defined as periods with at least 6 consecutive days where daily maximum temperature exceeds a given threshold during the summer period (June-July-August), set as the 90th percentile of daily maximum temperature for the baseline period (1986-2005). Heat wave days were computed for seven high-resolution (0.11°) regional climate model simulations from EURO-CORDEX and then averaged over the 2-year summer periods by calculating the multi-model-median values. The variability across the different model simulations is displayed through the interquartile range which is shown in the legend. 
Organisation University of Twente - Johannes Flacke
 
Figure File Map package (update)
 
Briefing European bathing water quality in 2023
From the Atlantic to the Mediterranean, most of Europe’s bathing waters are of excellent quality for swimming when assessed against the two specific health relevant parameters (Escherichia coli – or E. coli – and intestinal enterococci) as required under the Bathing Water Directive (EU, 2006). This briefing provides information on the quality of Europe’s bathing waters, and is complemented by a map viewer to help citizens take informed decisions on where to bathe. The briefing is published in the context of the Zero pollution action plan and is based on analysis of data reported by EU Members States for the 2020-2023 bathing seasons.
Image JPEG image hansmartinfussel.jpg
 
Image JPEG image julieberckmans.jpg
 
Image JPEG image mariannedonstychsen.jpg
 
Image JPEG image ElineVanuytrecht.jpg