Urban heat island data by local weather types in Lisbon metropolitan area based on Copernicus climate variables dataset for European cities

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buir.contributor.authorNouri, Andre Santos
dc.citation.epage7en_US
dc.citation.spage1en_US
dc.citation.volumeNumber42en_US
dc.contributor.authorReis, Cláudia
dc.contributor.authorLopes, António
dc.contributor.authorNouri, Andre Santos
dc.date.accessioned2023-02-28T11:26:36Z
dc.date.available2023-02-28T11:26:36Z
dc.date.issued2022-06
dc.departmentDepartment of Interior Architecture and Environmental Designen_US
dc.description.abstractHere we provide Urban Heat Island (UHI) by local weather types (LWT) maps for the Lisbon Metropolitan Area (LMA). These maps were produced from the Copernicus Land Monitoring Service climate variables dataset that contains hourly air temperature raster data for 100 European cities (2008-2017), namely Lisbon and part of its metropolitan area. Over 61000 maps (2008-2014) were extracted in NetCDF format and processed in geographic-information-systems (GIS). An urban mask was created from the recently updated Local Climate Zones (LCZ) classification for this area and a cell of the LCZ class “Low Plants” (non-urban) was chosen to calculate the temperature difference. UHI intensity was estimated using an R script. The outputs of this process were divided by thermal seasons and LWT. Ultimately, average UHI intensity by LWT was estimated. Average UHI according to meteorological conditions is available in GeoTIFF raster format (Appendix 1), with a spatial resolution of 100 × 100m pixels, as well as hourly average UHI for each LWT (Appendix 2 to 16). This data may provide valuable information for urban planners, designers and architects in the process of pinpointing recurrent hot and cool spots/neighborhoods in the city and its heating/cooling degrees. Moreover, these maps may contribute to a construction of an early warning system that anticipates which weather conditions we might expect an significant increase in thermal discomfort on those critical areas in the city. © 2022en_US
dc.description.provenanceSubmitted by Cem Çağatay Akgün (cem.akgun@bilkent.edu.tr) on 2023-02-28T11:26:36Z No. of bitstreams: 1 Urban_heat_island_data_by_local_weather_types_in_Lisbon_metropolitan_area_based_on_Copernicus_climate_variables_dataset_for_European_cities.pdf: 847194 bytes, checksum: 1f27198b1ac67b48ab64d09721961449 (MD5)en
dc.description.provenanceMade available in DSpace on 2023-02-28T11:26:36Z (GMT). No. of bitstreams: 1 Urban_heat_island_data_by_local_weather_types_in_Lisbon_metropolitan_area_based_on_Copernicus_climate_variables_dataset_for_European_cities.pdf: 847194 bytes, checksum: 1f27198b1ac67b48ab64d09721961449 (MD5) Previous issue date: 2022-06en
dc.identifier.doi10.1016/j.dib.2022.108292en_US
dc.identifier.issn23523409
dc.identifier.urihttp://hdl.handle.net/11693/111922
dc.language.isoEnglishen_US
dc.publisherElsevier Inc.en_US
dc.relation.isversionofhttps://dx.doi.org/10.1016/j.dib.2022.108292en_US
dc.source.titleData in Briefen_US
dc.subjectCopernicus land monitoring serviceen_US
dc.subjectLisbonen_US
dc.subjectLocal weather conditionsen_US
dc.subjectUrban climateen_US
dc.subjectUrban Heat Islanden_US
dc.titleUrban heat island data by local weather types in Lisbon metropolitan area based on Copernicus climate variables dataset for European citiesen_US
dc.typeArticleen_US

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