Assessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus service
Autor(a) principal: | |
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Data de Publicação: | 2022 |
Outros Autores: | , |
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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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 |
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Agência para a Sociedade do Conhecimento (UMIC) - FCT - Sociedade da Informação |
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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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1799134586992590848 |