45b703bb-d4f3-4eaa-8b73-13fde2041f01 European Environment Agency Kongens Nytorv 6 Copenhagen K 1050 Denmark sdi@eea.europa.eu pointOfContact 2025-10-09T10:47:48.763816Z ISO 19115/19139 1.0 EPSG:3035 Urban Heat Island (UHI) intensity modelling, Jan. 2020 2019-07-08T00:00:00 creation 2020-01-07T00:00:00 publication 01.00 eea_r_3035_100_m_uhi-modelling_p_2008-2017_v01_r00 The raster dataset of urban heat island modelling shows the fine-scale (100m pixel size) temperature differences (in degrees Celsius °C) across 100 European cities, depending on the land use, soil sealing, anthropogenic heat flux, vegetation index and climatic variables such as wind speed and incoming solar radiation. In the framework of the Copernicus European Health contract for the Copernicus Climate Change Service (C3S), VITO provided 100m resolution hourly temperature data (2008-2017) for 100 European cities, based on simulations with the urban climate model UrbClim (De Ridder et al., 2015). As the cities vary in size, so do the model domains. They have been defined with the intention to have a more or less constant ratio of urban vs. non-urban pixels (as defined in the CORINE land use map), with a maximum of 400 by 400 pixels (due to computational restraints). From this data set, the average urban heat island intensity is mapped for the summer season (JJA), which is the standard way of working in the scientific literature (e.g. Dosio, 2016). The UHI is calculated by subtracting the rural (non-water) spatial P10 temperature value from the average temperature map. 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 custodian https://sdi.eea.europa.eu/public/catalogue-graphic-overview/45b703bb-d4f3-4eaa-8b73-13fde2041f01.png Meteorological geographical features Atmospheric conditions GEMET - INSPIRE themes, version 1.0 2008-06-01 publication geonetwork.thesaurus.external.theme.httpinspireeceuropaeutheme-theme urban environment, urban stress urban area climate climate change impact climate change adaptation GEMET 2018-08-16 publication geonetwork.thesaurus.external.theme.gemet Hungary Norway Finland Germany Slovakia Iceland Austria Czechia United Kingdom Switzerland Latvia Greece Albania Romania Serbia Portugal Italy Bulgaria Belgium Slovenia Denmark Croatia Ireland Spain North Macedonia Estonia France Luxembourg Sweden Lithuania Netherlands Bosnia and Herzegovina Montenegro Poland Continents, countries, sea regions of the world. 2015-07-17 publication geonetwork.thesaurus.external.place.regions European Spatial scope 2019-05-22 publication geonetwork.thesaurus.external.theme.httpinspireeceuropaeumetadatacodelistSpatialScope-SpatialScope Climate adaptation EEA topics 2020-09-24 publication 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). grid 100 environment climatologyMeteorologyAtmosphere 2008-01-01 2017-12-31 -25.05 41.15 35.85 67.35 GeoTIFF https://sdi.eea.europa.eu/webdav/datastore/public/eea_r_3035_100_m_uhi-modelling_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/45b703bb-d4f3-4eaa-8b73-13fde2041f01 WWW:URL Direct download https://climate.discomap.eea.europa.eu/arcgis/rest/services/UAMV/Urban_Heat_Island_modelling/MapServer ESRI:REST https://climate.discomap.eea.europa.eu/arcgis/services/UAMV/Urban_Heat_Island_modelling/MapServer/WMSServer?request=GetCapabilities&service=WMS OGC:WMS 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 publication See the referenced specification In the framework of the Copernicus Health contract for the C3S data platform, VITO has provided 100m resolution hourly temperature data (2008-2017) for 100 European cities, based on simulations with the urban climate model UrbClim (De Ridder et al., 2015). From this data set, the average urban heat island intensity is mapped for the summer season (JJA), which is the standard way of working in the scientific literature (e.g. Dosio, 2016). The UHI is calculated by subtracting the rural (non-water) spatial P10 temperature value from the average temperature map. The model data are published on the Climate Data Store of C3S and can be downloaded here: https://cds.climate.copernicus.eu/cdsapp#!/dataset/sis-urban-climate-cities?tab=form. In-depth documentation on the methodology used to model the urban climate data with UrbClim model can be downloaded from here: http://datastore.copernicus-climate.eu/c3s/published-forms/c3sprod/sis-urban-climate-cities/UrbClim_extra_documentation_v2.pdf. References De Ridder K., Lauwaet D., Maiheu B., 2015. UrbClim – a fast urban boundary layer climate model. Urban Climate, 12, 41-58. 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.