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

Detalhes bibliográficos
Autor(a) principal: Reis, Cláudia
Data de Publicação: 2022
Outros Autores: Lopes, António, Nouri, A. Santos
Tipo de documento: Artigo
Idioma: eng
Título da fonte: Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
Texto Completo: http://hdl.handle.net/10451/52547
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.
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spelling Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus serviceUrban climateCopernicus datasetLocal weather typeAir temperatureUrban heat islandIn 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.ElsevierRepositório da Universidade de LisboaReis, CláudiaLopes, AntónioNouri, A. Santos2022-04-26T14:51:25Z20222022-01-01T00:00:00Zinfo:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://hdl.handle.net/10451/52547engReis, C., Lopes, A. & Nouri, A. S. (2022). Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service. Urban Climate, 43, 101168. https://doi.org/10.1016/j.uclim.2022.1011682212-095510.1016/j.uclim.2022.101168metadata only accessinfo:eu-repo/semantics/openAccessreponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãoinstacron:RCAAP2023-11-08T16:57:49Zoai:repositorio.ul.pt:10451/52547Portal AgregadorONGhttps://www.rcaap.pt/oai/openaireopendoar:71602024-03-19T22:03:38.340494Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informaçãofalse
dc.title.none.fl_str_mv Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service
title Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service
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
title_short 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_sort Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service
author Reis, Cláudia
author_facet Reis, Cláudia
Lopes, António
Nouri, A. Santos
author_role author
author2 Lopes, António
Nouri, A. Santos
author2_role author
author
dc.contributor.none.fl_str_mv Repositório da Universidade de Lisboa
dc.contributor.author.fl_str_mv Reis, Cláudia
Lopes, António
Nouri, A. Santos
dc.subject.por.fl_str_mv Urban climate
Copernicus dataset
Local weather type
Air temperature
Urban heat island
topic Urban climate
Copernicus dataset
Local weather type
Air temperature
Urban heat island
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.
publishDate 2022
dc.date.none.fl_str_mv 2022-04-26T14:51:25Z
2022
2022-01-01T00:00:00Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://hdl.handle.net/10451/52547
url http://hdl.handle.net/10451/52547
dc.language.iso.fl_str_mv eng
language eng
dc.relation.none.fl_str_mv Reis, C., Lopes, A. & Nouri, A. S. (2022). Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service. Urban Climate, 43, 101168. https://doi.org/10.1016/j.uclim.2022.101168
2212-0955
10.1016/j.uclim.2022.101168
dc.rights.driver.fl_str_mv metadata only access
info:eu-repo/semantics/openAccess
rights_invalid_str_mv metadata only access
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv Elsevier
publisher.none.fl_str_mv Elsevier
dc.source.none.fl_str_mv reponame:Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
instname:Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron:RCAAP
instname_str Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
instacron_str RCAAP
institution RCAAP
reponame_str Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
collection Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos)
repository.name.fl_str_mv Repositório Científico de Acesso Aberto de Portugal (Repositórios Cientìficos) - Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação
repository.mail.fl_str_mv
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