Urban Heat Island (UHI) intensity (90th percentile), Jan. 2020
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.
Simple
- Date (Creation)
- 2019-07-09T00:00:00
- Date (Publication)
- 2020-01-07T00:00:00
- Edition
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01.00
- Citation identifier
- eea_v_4326_100_k_uhi-intensity_p_2008-2017_v01_r00
Point of contact
- Maintenance and update frequency
- Not planned
- Keywords
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- Keywords
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GEMET
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climate
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climate change impact
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urban environment, urban stress
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climate change adaptation
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urban area
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Continents, countries, sea regions of the world.
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Norway
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Finland
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Germany
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Lithuania
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Spain
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Austria
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Croatia
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Belgium
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Ireland
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Romania
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Albania
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Switzerland
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France
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Italy
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Montenegro
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Poland
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Denmark
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Serbia
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United Kingdom
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Portugal
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Luxembourg
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Netherlands
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Slovenia
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North Macedonia
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Sweden
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Bosnia and Herzegovina
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Slovakia
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Hungary
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Czechia
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Iceland
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Latvia
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Bulgaria
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Greece
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Estonia
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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
- Use constraints
- Other restrictions
- Other constraints
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EEA standard re-use policy: unless otherwise indicated, re-use of content on the EEA website for commercial or non-commercial purposes is permitted free of charge, provided that the source is acknowledged ( http://www.eea.europa.eu/legal/copyright).
Copyright holder: European Environment Agency (EEA), Copernicus Climate Change Service (C3S).
- Spatial representation type
- Vector
- Denominator
- 100000
- Language of dataset
- English
- Topic category
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- Environment
- Climatology, meteorology, atmosphere
- Begin date
- 2008-01-01
- End date
- 2017-12-31
))
- Additional Information
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The scale provided is approximate.
- Coordinate reference system identifier
- EPSG:4326
- Distribution format
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- SHP ( )
- OnLine resource
- Hierarchy level
- Dataset
Conformance result
- Title
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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
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See the referenced specification
- Statement
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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.
Metadata
- File identifier
- 8b6a3182-0889-4109-ad22-a021e3126b60 XML
- Metadata language
- English
- Character set
- UTF8
- Hierarchy level
- Dataset
- Date stamp
- 2021-11-10T08:13:45.046Z
- Metadata standard name
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ISO 19115/19139
- Metadata standard version
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1.0
- Metadata author
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Organisation name Individual name Electronic mail address Website Role European Environment Agency
Point of contact