Context A climatological heatwave is a prolonged period of extremely high temperature for a particular region that exceeds a maximum threshold. Heatwaves have consequences for health, agriculture, power, wildfire and infrastructure.

Definition The annual number of heatwave days is based on the climatological definition of a heatwave. A climatological heatwave is considered to be a period of at least 3 consecutive days on which the daily maximum temperature exceeds the 99th percentile of the daily maximum temperatures of the May to September season for the control period of 1971 to 2000.

Data Sources The climatological heatwave statistics are calculated using bias-adjusted EURO-CORDEX data for two CMIP5 scenarios with different possible future greenhouse gas emissions: RCP4.5 (medium emissions) and RCP8.5 (high emissions). The data covers the period 1971 to 2099 and statistics are averaged for 30 years in overlapping time periods set 10 years apart. Finally, the time series are averaged for the model ensemble.

Supporting Information The data was collated on behalf of the Copernicus Climate Change Service (C3S). Further information about this index can be found in the C3S documentation resources in the Climate Data Store.

Data: https://climate-adapt.eea.europa.eu/metadata/indicators/climatological-heatwave-high-temperature-1971-2099#details

The service shows Low physical activity for european countries in 2019.

The next filters are applied:

Context: Risk

Age: [All ages]

Metric : rate (DALYs per 100,000 population)

Sex: Both

Cause : All

The service shows Occupational carcinogens for european countries in 2019.

The next filters are applied:

Context: Risk

Age: [All ages]

Metric : rate (DALYs per 100,000 population)

Sex: Both

Cause : All

The service shows Secondhand smoke for european countries in 2019

The next filters are applied:

Context: Risk

Age: [All ages]

Metric : rate (DALYs per 100,000 population)

Sex: Both

Cause : All

The map shows the current known distribution of Aedes aegypti in Europe at ‘regional’ administrative level, as of March 2021. 39 reports were submitted since the previous update (October 2020).

Suggested citation: European Centre for Disease Prevention and Control and European Food Safety Authority. Mosquito maps [internet]. Stockholm: ECDC; 2021. Available from: https://ecdc.europa.eu/en/disease-vectors/surveillance-and-disease-data/mosquito-maps

The map shows the current known distribution of Aedes albopictus in Europe at ‘regional’ administrative level, as of October 2021. 4792 new reports were submitted since the previous update (March 2021).

Suggested citation: European Centre for Disease Prevention and Control and European Food Safety Authority. Mosquito maps [internet]. Stockholm: ECDC; 2021. Available from: https://ecdc.europa.eu/en/disease-vectors/surveillance-and-disease-data/mosquito-maps

The map shows the current known distribution of Ixodes ricinus in Europe at ‘regional’ administrative level, as of January 2019. Since the previous version (May 2018), 1909 new reports were submitted and processed.

Suggested citation: European Centre for Disease Prevention and Control and European Food Safety Authority. Tick maps [internet]. Stockholm: ECDC; 2019. Available from: https://ecdc.europa.eu/en/disease-vectors/surveillance-and-disease-data/tick-maps

The service shows the Population connected to at least secondary waste water treatment in year 2020

Gap filling has been used for countries without values for the base year. Method used to gap fill:

Selected latest value available - looking 5 years back in time from base year. The field 'data_year' is the actual data year. Base year is defined in the field 'year'.

Data source: https://ec.europa.eu/eurostat/databrowser/view/sdg_06_20/default/table?lang=en

Following countries has been gap filled: Italy Portugal Germany Cyprus Greece Sweden Spain Ireland Bosnia and Herzegovina

The noise level at health care centers are assessed on this map.

The max noise level from road is represented as the percent of health care centers with noise level over Lden 55db at administrative unit level

To assign a noise level value to a health care center, the noise contours raster are used. Usually the rasters have a resolution of 10 meters.

Notice that health care centers Estonia are not included.

Data: https://land.copernicus.eu/local/urban-atlas/urban-atlas-2018

Data: https://appsso.eurostat.ec.europa.eu/nui/show.do?query=BOOKMARK_DS-488855_QID_-C8CCF08_UID_-3F171EB0&layout=AGE,L,X,0;TIME,C,X,1;GEO,L,Y,0;SEX,L,Z,0;UNIT,L,Z,1;INDICATORS,C,Z,2;&zSelection=DS-488855SEX,T;DS-488855UNIT,NR;DS-488855AGE,TOTAL;DS-488855INDICATORS,OBS_FLAG;&rankName1=UNIT_1_2_-1_2&rankName2=INDICATORS_1_2_-1_2&rankName3=SEX_1_2_-1_2&rankName4=AGE_1_2_0_0&rankName5=TIME_1_0_1_0&rankName6=GEO_1_2_0_1&rStp=&cStp=&rDCh=&cDCh=&rDM=true&cDM=true&footnes=false&empty=false&wai=false&time_mode=ROLLING&time_most_recent=true&lang=EN&cfo=%23%23%23%2C%23%23%23.%23%23%23

The map show the total of Flood facilities from 1980 to 2020

This metadata refers to a vector dataset that shows the number of fatalities caused by wildfires. The dataset covers the EEA-38 member countries in 2021. The dataset is part of the European Climate Adaptation Platform (Climate-ADAPT) accessible here: https://climate-adapt.eea.europa.eu/observatory/evidence/health-effects/wildfires The data is based on the damage records from CATDAT of RiskLayer under a contract and with 'non disclosure' provisions. Sources: Based on the damage records from CATDAT of RiskLayer

The noise level at schools and health care centers are assessed on this map.

The max noise level from road noise is represented as the percent of schools with noise level over Lden 55db (limit of healthy level) at administrative unit.

To assign a noise level value to a School, the noise contours raster are used. The rasters have a common resolution of 10 meters. Notice that schools of Latvia and Romania are not included.