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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

2022Journal article Restricted access
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dc.contributor.authorReis, Cláudia
dc.contributor.authorLopes, António
dc.contributor.authorNouri, A. Santos
dc.date.accessioned2022-04-26T14:51:25Z
dc.date.available2022-04-26T14:51:25Z
dc.date.issued2022
dc.description.abstractIn 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.pt_PT
dc.description.versioninfo:eu-repo/semantics/publishedVersionpt_PT
dc.identifier.citationReis, 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.2022.101168pt_PT
dc.identifier.doi10.1016/j.uclim.2022.101168pt_PT
dc.identifier.issn2212-0955
dc.identifier.urihttp://hdl.handle.net/10451/52547
dc.language.isoengpt_PT
dc.peerreviewedyespt_PT
dc.publisherElsevierpt_PT
dc.relation.publisherversionhttps://www.sciencedirect.com/science/article/pii/S2212095522000864?via%3Dihubpt_PT
dc.subjectUrban climatept_PT
dc.subjectCopernicus datasetpt_PT
dc.subjectLocal weather typept_PT
dc.subjectAir temperaturept_PT
dc.subjectUrban heat islandpt_PT
dc.titleAssessing urban heat island effects through local weather types in Lisbon's Metropolitan Area using big data from the Copernicus servicept_PT
dc.typejournal article
dspace.entity.typePublication
oaire.citation.startPage101168pt_PT
oaire.citation.titleUrban Climatept_PT
oaire.citation.volume43pt_PT
person.familyNameReis
person.familyNameLopes
person.givenNameCláudia
person.givenNameAntónio
person.identifier216928
person.identifier.ciencia-idFD1C-99FA-F339
person.identifier.ciencia-id1D15-FB93-4687
person.identifier.orcid0000-0002-0829-2402
person.identifier.orcid0000-0002-9357-7639
person.identifier.ridF-3217-2010
person.identifier.scopus-author-id55951850000
rcaap.rightsclosedAccesspt_PT
rcaap.typearticlept_PT
relation.isAuthorOfPublication5298128b-00cd-4b21-bdec-6672968dc5cd
relation.isAuthorOfPublication5ec106ce-350f-4b1b-aed6-1acd9f11f7f1
relation.isAuthorOfPublication.latestForDiscovery5298128b-00cd-4b21-bdec-6672968dc5cd

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