EEA geospatial data catalogue
Urban Heat Island (UHI) intensity modelling, Jan. 2020
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.
Simple
Identification info
- Date (Creation)
- 2019-07-08T00:00:00
- Date (Publication)
- 2020-01-07T00:00:00
- Edition
-
01.00
- Citation identifier
- eea_r_3035_100_m_uhi-modelling_p_2008-2017_v01_r00
- Spatial representation type
- Grid
Spatial resolution
- Spatial resolution
- 100 m
- Topic category
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- Environment
- Climatology, meteorology, atmosphere
Extent
Temporal extent
- Time period
- 2008-01-01 2017-12-31
Extent
Extent
))
- Maintenance and update frequency
- Not planned
- GEMET
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urban environment, urban stress
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urban area
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climate
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climate change impact
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climate change adaptation
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- Continents, countries, sea regions of the world.
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Hungary
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Norway
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Finland
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Germany
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Slovakia
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Iceland
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Austria
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Czechia
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United Kingdom
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Switzerland
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Latvia
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Greece
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Albania
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Romania
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Serbia
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Portugal
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Italy
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Bulgaria
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Belgium
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Slovenia
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Denmark
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Croatia
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Ireland
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Spain
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North Macedonia
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Estonia
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France
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Luxembourg
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Sweden
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Lithuania
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Netherlands
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Bosnia and Herzegovina
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Montenegro
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Poland
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- EEA topics
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Climate adaptation
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Resource constraints
- Access constraints
- Other restrictions
- Other constraints
- no limitations to public access
Resource constraints
- Use constraints
- Other restrictions
- Other constraints
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License CC-BY 4.0 ( https://creativecommons.org/licenses/by/4.0/).
Copyright holder: European Environment Agency (EEA), Copernicus Climate Change Service (C3S).
- Language
- English
Distribution Information
Data quality info
- Hierarchy level
- Dataset
Report
Result
- Title
-
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
- Date (Publication)
- 2010-12-08
- Explanation
-
See the referenced specification
Resource lineage
- Statement
-
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.
- Hierarchy level
- Dataset
Reference System Information
Reference System Information
- Code
- EPSG:3035
Metadata
- Metadata identifier
- 45b703bb-d4f3-4eaa-8b73-13fde2041f01
- Language
- English
- Character encoding
- UTF8
- Contact
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Organisation Individual Electronic mail address Website Role European Environment Agency
Point of contact
Type of resource
- Resource type
- Dataset
- Metadata linkage
-
https://sdi.eea.europa.eu/geonetwork/srv/api/records/45b703bb-d4f3-4eaa-8b73-13fde2041f01
- Date info (Creation)
- 2020-09-10T13:08:10Z
- Date info (Revision)
- 2025-10-09T10:47:48.763816Z
Metadata standard
- Title
-
ISO 19115/19139
- Edition
-
1.0
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