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Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service

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Resumo:In this study UHI in Lisbon's Metropolitan Area (LMA) is analyzed through Local Weather Types (LWT) using an air temperature dataset produced by Copernicus. Over 61,000 hourly air temperature maps between 2008 and 2014 are extracted, divided into thermal seasons and LWT, and UHI is calculated by the anomaly between each raster cell and a pixel from “Low Plants” Local Climate Zone (LCZ) class. UHI daily cycle is analyzed by LWT. Statistical analysis shows that rainy days produce lower median UHI intensities (close to 0 ◦C), while sunny days, especially very cold winter days, produce higher UHI intensities (median values close to 1,5 ◦C). Analysis of the UHI pattern displays a S/SE-N/NW dichotomy in the right bank of the Tagus river and an N-S dichotomy in the Peninsula of Setúbal. The UHI effect is more pronounced in Lisbon, particularly in the riverfront area, and on the opposite bank of Tagus due to the shelter effect of frequent N winds. As previous studies have proven, UHI in LMA is mainly a nighttime phenomenon. This methodology may help decision makers to identify critical heating districts as well as weather conditions most conducive to a significant overheating of the urban atmosphere.
Autores principais:Reis, Cláudia
Outros Autores:Lopes, António; Nouri, A. Santos
Assunto:Urban climate Copernicus dataset Local weather type Air temperature Urban heat island
Ano:2022
País:Portugal
Tipo de documento:artigo
Tipo de acesso:acesso restrito
Instituição associada:Universidade de Lisboa
Idioma:inglês
Origem:Repositório da Universidade de Lisboa
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author Reis, Cláudia
author2 Lopes, António
Nouri, A. Santos
author2_role author
author
author_facet Reis, Cláudia
Lopes, António
Nouri, A. Santos
author_role author
contributor_name_str_mv Repositório Científico de Acesso Aberto da ULisboa
country_str PT
creators_json_txt [{\"Person.name\":\"Reis, Cláudia\",\"Person.identifier.orcid\":\"0000-0002-0829-2402\"},{\"Person.name\":\"Lopes, António\",\"Person.identifier.orcid\":\"0000-0002-9357-7639\"},{\"Person.name\":\"Nouri, A. Santos\"}]
datacite.contributors.contributor.contributorName.fl_str_mv Repositório Científico de Acesso Aberto da ULisboa
datacite.creators.creator.creatorName.fl_str_mv Reis, Cláudia
Lopes, António
Nouri, A. Santos
datacite.date.Accepted.fl_str_mv 2022-01-01T00:00:00Z
datacite.date.available.fl_str_mv 2022-04-26T14:51:25Z
datacite.date.embargoed.fl_str_mv 2022-04-26T14:51:25Z
datacite.rights.fl_str_mv http://purl.org/coar/access_right/c_16ec
datacite.subjects.subject.fl_str_mv Urban climate
Copernicus dataset
Local weather type
Air temperature
Urban heat island
datacite.titles.title.fl_str_mv Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service
dc.contributor.none.fl_str_mv Repositório Científico de Acesso Aberto da ULisboa
dc.creator.none.fl_str_mv Reis, Cláudia
Lopes, António
Nouri, A. Santos
dc.date.Accepted.fl_str_mv 2022-01-01T00:00:00Z
dc.date.available.fl_str_mv 2022-04-26T14:51:25Z
dc.date.embargoed.fl_str_mv 2022-04-26T14:51:25Z
dc.format.none.fl_str_mv application/pdf
dc.identifier.none.fl_str_mv http://hdl.handle.net/10451/52547
dc.language.none.fl_str_mv eng
dc.publisher.none.fl_str_mv Elsevier
dc.rights.none.fl_str_mv http://purl.org/coar/access_right/c_16ec
dc.subject.none.fl_str_mv Urban climate
Copernicus dataset
Local weather type
Air temperature
Urban heat island
dc.title.fl_str_mv Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service
dc.type.none.fl_str_mv http://purl.org/coar/resource_type/c_6501
description In this study UHI in Lisbon's Metropolitan Area (LMA) is analyzed through Local Weather Types (LWT) using an air temperature dataset produced by Copernicus. Over 61,000 hourly air temperature maps between 2008 and 2014 are extracted, divided into thermal seasons and LWT, and UHI is calculated by the anomaly between each raster cell and a pixel from “Low Plants” Local Climate Zone (LCZ) class. UHI daily cycle is analyzed by LWT. Statistical analysis shows that rainy days produce lower median UHI intensities (close to 0 ◦C), while sunny days, especially very cold winter days, produce higher UHI intensities (median values close to 1,5 ◦C). Analysis of the UHI pattern displays a S/SE-N/NW dichotomy in the right bank of the Tagus river and an N-S dichotomy in the Peninsula of Setúbal. The UHI effect is more pronounced in Lisbon, particularly in the riverfront area, and on the opposite bank of Tagus due to the shelter effect of frequent N winds. As previous studies have proven, UHI in LMA is mainly a nighttime phenomenon. This methodology may help decision makers to identify critical heating districts as well as weather conditions most conducive to a significant overheating of the urban atmosphere.
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eu_rights_str_mv restrictedAccess
format article
fulltext.url.fl_str_mv https://repositorio.ulisboa.pt/bitstreams/801c4619-ff77-4e34-b490-510f3eadc049/download
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institution Universidade de Lisboa
instname_str Universidade de Lisboa
language eng
network_acronym_str ul
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oai_identifier_str oai:repositorio.ulisboa.pt:10451/52547
organization_str_mv urn:organizationAcronym:ul
person_str_mv Reis, Cláudia
Reis, Cláudia
https://www.ciencia-id.pt/FD1C-99FA-F339
FD1C-99FA-F339
http://orcid.org/0000-0002-0829-2402
0000-0002-0829-2402
Lopes, António
Lopes, António
https://www.ciencia-id.pt/1D15-FB93-4687
1D15-FB93-4687
http://orcid.org/0000-0002-9357-7639
0000-0002-9357-7639
Nouri, A. Santos
publishDate 2022
publisher.none.fl_str_mv Elsevier
reponame_str Repositório da Universidade de Lisboa
repository_id_str urn:repositoryAcronym:ul
service_str_mv urn:repositoryAcronym:ul
spelling engElsevierpt_PTIn this study UHI in Lisbon's Metropolitan Area (LMA) is analyzed through Local Weather Types (LWT) using an air temperature dataset produced by Copernicus. Over 61,000 hourly air temperature maps between 2008 and 2014 are extracted, divided into thermal seasons and LWT, and UHI is calculated by the anomaly between each raster cell and a pixel from “Low Plants” Local Climate Zone (LCZ) class. UHI daily cycle is analyzed by LWT. Statistical analysis shows that rainy days produce lower median UHI intensities (close to 0 ◦C), while sunny days, especially very cold winter days, produce higher UHI intensities (median values close to 1,5 ◦C). Analysis of the UHI pattern displays a S/SE-N/NW dichotomy in the right bank of the Tagus river and an N-S dichotomy in the Peninsula of Setúbal. The UHI effect is more pronounced in Lisbon, particularly in the riverfront area, and on the opposite bank of Tagus due to the shelter effect of frequent N winds. As previous studies have proven, UHI in LMA is mainly a nighttime phenomenon. This methodology may help decision makers to identify critical heating districts as well as weather conditions most conducive to a significant overheating of the urban atmosphere.application/pdfpt_PTAssessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus servicePersonalReis, CláudiaDSpacehttp://dspace.org/items/5298128b-00cd-4b21-bdec-6672968dc5cdDSpacehttp://dspace.org/items/5298128b-00cd-4b21-bdec-6672968dc5cdReisCláudiaCiência IDhttps://www.ciencia-id.ptFD1C-99FA-F339ORCIDhttp://orcid.org0000-0002-0829-2402PersonalLopes, AntónioDSpacehttp://dspace.org/items/5ec106ce-350f-4b1b-aed6-1acd9f11f7f1DSpacehttp://dspace.org/items/5ec106ce-350f-4b1b-aed6-1acd9f11f7f1LopesAntónioCiência IDhttps://www.ciencia-id.pt1D15-FB93-4687ORCIDhttp://orcid.org0000-0002-9357-7639Researcher IDhttps://www.researcherid.comF-3217-2010Scopus Author IDhttps://www.scopus.com55951850000Nouri, A. SantosHostingInstitutionOrganizationalRepositório Científico de Acesso Aberto da ULisboae-mailmailto:repositorio@reitoria.ulisboa.ptrepositorio@reitoria.ulisboa.ptISSNIsPartOf2212-0955DOIIsPartOf10.1016/j.uclim.2022.1011682022-04-26T14:51:25Z20222022-01-01T00:00:00ZHandlehttp://hdl.handle.net/10451/52547http://purl.org/coar/access_right/c_16ecrestricted accessUrban climateCopernicus datasetLocal weather typeAir temperatureUrban heat island14075269 bytesliteraturehttp://purl.org/coar/resource_type/c_6501journal articlehttp://purl.org/coar/access_right/c_16ecapplication/pdffulltexthttps://repositorio.ulisboa.pt/bitstreams/801c4619-ff77-4e34-b490-510f3eadc049/downloadUrban Climate43101168
spellingShingle Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service
Reis, Cláudia
Urban climate
Copernicus dataset
Local weather type
Air temperature
Urban heat island
status SINGLETON
subject.fl_str_mv Urban climate
Copernicus dataset
Local weather type
Air temperature
Urban heat island
title Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service
title_full Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service
title_fullStr Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service
title_full_unstemmed Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service
title_short Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service
title_sort Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service
topic Urban climate
Copernicus dataset
Local weather type
Air temperature
Urban heat island
topic_facet Urban climate
Copernicus dataset
Local weather type
Air temperature
Urban heat island
url http://hdl.handle.net/10451/52547
visible 1