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

Here 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), namel...

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Autores principales: Reis, Cláudia, Lopes, António, Nouri, A. Santos
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2022
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133548/
https://www.ncbi.nlm.nih.gov/pubmed/35647233
http://dx.doi.org/10.1016/j.dib.2022.108292
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author Reis, Cláudia
Lopes, António
Nouri, A. Santos
author_facet Reis, Cláudia
Lopes, António
Nouri, A. Santos
author_sort Reis, Cláudia
collection PubMed
description Here 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.
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spelling pubmed-91335482022-05-27 Urban heat island data by local weather types in Lisbon metropolitan area based on Copernicus climate variables dataset for European cities Reis, Cláudia Lopes, António Nouri, A. Santos Data Brief Data Article Here 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. Elsevier 2022-05-17 /pmc/articles/PMC9133548/ /pubmed/35647233 http://dx.doi.org/10.1016/j.dib.2022.108292 Text en © 2022 The Authors. Published by Elsevier Inc. https://creativecommons.org/licenses/by-nc-nd/4.0/This is an open access article under the CC BY-NC-ND license (http://creativecommons.org/licenses/by-nc-nd/4.0/).
spellingShingle Data Article
Reis, Cláudia
Lopes, António
Nouri, A. Santos
Urban heat island data by local weather types in Lisbon metropolitan area based on Copernicus climate variables dataset for European cities
title Urban heat island data by local weather types in Lisbon metropolitan area based on Copernicus climate variables dataset for European cities
title_full Urban heat island data by local weather types in Lisbon metropolitan area based on Copernicus climate variables dataset for European cities
title_fullStr Urban heat island data by local weather types in Lisbon metropolitan area based on Copernicus climate variables dataset for European cities
title_full_unstemmed Urban heat island data by local weather types in Lisbon metropolitan area based on Copernicus climate variables dataset for European cities
title_short Urban heat island data by local weather types in Lisbon metropolitan area based on Copernicus climate variables dataset for European cities
title_sort urban heat island data by local weather types in lisbon metropolitan area based on copernicus climate variables dataset for european cities
topic Data Article
url https://www.ncbi.nlm.nih.gov/pmc/articles/PMC9133548/
https://www.ncbi.nlm.nih.gov/pubmed/35647233
http://dx.doi.org/10.1016/j.dib.2022.108292
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AT nouriasantos urbanheatislanddatabylocalweathertypesinlisbonmetropolitanareabasedoncopernicusclimatevariablesdatasetforeuropeancities