8b6a3182-0889-4109-ad22-a021e3126b60
European Environment Agency
Kongens Nytorv 6
Copenhagen
K
1050
Denmark
sdi@eea.europa.eu
2021-11-10T08:13:45.046Z
ISO 19115/19139
1.0
EPSG:4326
Urban Heat Island (UHI) intensity (90th percentile), Jan. 2020
2019-07-09T00:00:00
2020-01-07T00:00:00
01.00
eea_v_4326_100_k_uhi-intensity_p_2008-2017_v01_r00
This vector dataset shows the Urban Heat Island (UHI) intensity (in degrees Celsius °C) for 100 European cities, based on their elevation above sea level, land use, soil sealing, vegetation index and anthropogenic heat flux. The Urban Heat Island intensity exacerbates high temperatures in cities and thus may pose additional risks to human thermal comfort and health.
The UHI intensity is represented by spatial P90 (90th percentile) urban heat island intensity of a given city ("P90" field in the dataset). This indicator is calculated by subtracting the rural (non-water) spatial P10 (10th percentile) temperature value from the average, height-corrected (to exclude terrain effects), air temperature map. This indicator represents the specific exposure of single cities and due to the height correction will be comparable across Europe.
The dataset has been created by VITO within the Copernicus Health contract for C3S and is based on UrbClim model (De Ridder et al. 2015). The 100 European cities for the urban simulations were selected based on user requirements within the health community.
European Environment Agency
Kongens Nytorv 6
Copenhagen
K
1050
Denmark
sdi@eea.europa.eu
https://sdi.eea.europa.eu/public/catalogue-graphic-overview/8b6a3182-0889-4109-ad22-a021e3126b60.png
Atmospheric conditions
Meteorological geographical features
GEMET - INSPIRE themes, version 1.0
2008-06-01
geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme
climate
climate change impact
urban environment, urban stress
climate change adaptation
urban area
GEMET
2018-08-16
geonetwork.thesaurus.external.theme.gemet
Norway
Finland
Germany
Lithuania
Spain
Austria
Croatia
Belgium
Ireland
Romania
Albania
Switzerland
France
Italy
Montenegro
Poland
Denmark
Serbia
United Kingdom
Portugal
Luxembourg
Netherlands
Slovenia
North Macedonia
Sweden
Bosnia and Herzegovina
Slovakia
Hungary
Czechia
Iceland
Latvia
Bulgaria
Greece
Estonia
Continents, countries, sea regions of the world.
2015-07-17
geonetwork.thesaurus.external.place.regions
European
Spatial scope
2019-05-22
geonetwork.thesaurus.external.theme.httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScope
Climate adaptation
EEA topics
2020-09-24
geonetwork.thesaurus.external.theme.eea-topics
no limitations to public access
License CC-BY 4.0 (https://creativecommons.org/licenses/by/4.0/).
Copyright holder: European Environment Agency (EEA), Copernicus Climate Change Service (C3S).
100000
environment
climatologyMeteorologyAtmosphere
2008-01-01
2017-12-31
-24.71
40.89
36.01
67.28
The scale provided is approximate.
SHP
https://sdi.eea.europa.eu/webdav/datastore/public/eea_v_4326_100_k_uhi-intensity_p_2008-2017_v01_r00/
EEA:FOLDERPATH
https://climate-adapt.eea.europa.eu/en/knowledge/tools/urban-adaptation
WWW:LINK-1.0-http--link
https://sdi.eea.europa.eu/data/8b6a3182-0889-4109-ad22-a021e3126b60
WWW:URL
Direct download
https://climate.discomap.eea.europa.eu/arcgis/services/UAMV/Urban_Heat_Island_Intensity/MapServer/WMSServer?request=GetCapabilities&service=WMS
OGC:WMS
https://climate.discomap.eea.europa.eu/arcgis/rest/services/UAMV/Urban_Heat_Island_Intensity/MapServer
ESRI:REST
Commission Regulation (EU) No 1089/2010 of 23 November 2010 implementing Directive 2007/2/EC of the European Parliament and of the Council as regards interoperability of spatial data sets and services
2010-12-08
See the referenced specification
The intensity of UHI was estimated for 100 European cities in the framework of the Copernicus European Health contract for the Copernicus Climate Change Service (C3S).
High resolution (100m) hourly temperature (2008-2017) was simulated with the urban climate model UrbClim (De Ridder et al., 2015). Summer season is June, July and August. The intensity of UHI is represented by spatial P90 (90th percentile) UHI intensity of a given city. This indicator is calculated by subtracting the rural (non-water) spatial P10 (10th percentile) temperature value from the average, height-corrected (to exclude terrain effects), air temperature map.
Taking the spatial P90 value for a given city conforms the methodology of Dosio (2016). This indicator represents the specific exposure of single cities and due to the height correction will be comparable across Europe.
References:
De Ridder, K, Lauwaet D. and Maiheu, B. (2015): UrbClim – A fast urban boundary layer climate model, Urban Climate, Vol. 12, pp. 21–48. https://doi.org/10.1016/j.uclim.2015.01.001.
Dosio, A. (2016), Projections of climate change indices of temperature and precipitation from an ensemble of bias-adjusted high-resolution EURO-CORDEX regional climate models, J. Geophys. Res. Atmos., 121, 5488–5511, doi:10.1002/2015JD024411.