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Article: The hysteresis effect on surface-air temperature relationship and its implications to urban planning: An examination in Phoenix, Arizona, USA

TitleThe hysteresis effect on surface-air temperature relationship and its implications to urban planning: An examination in Phoenix, Arizona, USA
Authors
KeywordsSurface-air temperature relationship
Urban climate
Remote sensing
Hysteresis effect
Sensor network
Issue Date2017
Citation
Landscape and Urban Planning, 2017, v. 167, p. 198-211 How to Cite?
Abstract© 2017 Elsevier B.V. Urban areas, with massive built-up landscapes and manmade structures, have different patterns of local microclimate as compared to natural terrains. A better understanding of the surface-air temperature relationship in urban environments is of significant importance in interpreting urban climatic characteristics and solving related environmental problems via sustainable landscape planning strategies. In this study, we analyse the ground-based in-situ measurements as well as remotely sensed thermal dataset in Phoenix, AZ. Prominent hysteresis effect manifests in correlating diurnal cycles of surface and near-surface air temperatures. In particular, a peculiar pattern of “8-shaped” surface-air temperature hysteresis is observed over concrete pavement especially in winters. Pearson's r values, measuring the strength of surface-air temperature coupling, show strong correlation with incoming solar radiation and wind speed, but are relatively insensitive to humidity. The hysteresis effect diminishes at climatic scale, such that the remotely sensed surface temperature can be approximated as linearly correlated to the near-surface air temperature.
Persistent Identifierhttp://hdl.handle.net/10722/277668
ISSN
2021 Impact Factor: 8.119
2020 SCImago Journal Rankings: 1.938
ISI Accession Number ID

 

DC FieldValueLanguage
dc.contributor.authorSong, Jiyun-
dc.contributor.authorWang, Zhi Hua-
dc.contributor.authorMyint, Soe W.-
dc.contributor.authorWang, Chuyuan-
dc.date.accessioned2019-09-27T08:29:39Z-
dc.date.available2019-09-27T08:29:39Z-
dc.date.issued2017-
dc.identifier.citationLandscape and Urban Planning, 2017, v. 167, p. 198-211-
dc.identifier.issn0169-2046-
dc.identifier.urihttp://hdl.handle.net/10722/277668-
dc.description.abstract© 2017 Elsevier B.V. Urban areas, with massive built-up landscapes and manmade structures, have different patterns of local microclimate as compared to natural terrains. A better understanding of the surface-air temperature relationship in urban environments is of significant importance in interpreting urban climatic characteristics and solving related environmental problems via sustainable landscape planning strategies. In this study, we analyse the ground-based in-situ measurements as well as remotely sensed thermal dataset in Phoenix, AZ. Prominent hysteresis effect manifests in correlating diurnal cycles of surface and near-surface air temperatures. In particular, a peculiar pattern of “8-shaped” surface-air temperature hysteresis is observed over concrete pavement especially in winters. Pearson's r values, measuring the strength of surface-air temperature coupling, show strong correlation with incoming solar radiation and wind speed, but are relatively insensitive to humidity. The hysteresis effect diminishes at climatic scale, such that the remotely sensed surface temperature can be approximated as linearly correlated to the near-surface air temperature.-
dc.languageeng-
dc.relation.ispartofLandscape and Urban Planning-
dc.subjectSurface-air temperature relationship-
dc.subjectUrban climate-
dc.subjectRemote sensing-
dc.subjectHysteresis effect-
dc.subjectSensor network-
dc.titleThe hysteresis effect on surface-air temperature relationship and its implications to urban planning: An examination in Phoenix, Arizona, USA-
dc.typeArticle-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.landurbplan.2017.06.024-
dc.identifier.scopuseid_2-s2.0-85021862488-
dc.identifier.volume167-
dc.identifier.spage198-
dc.identifier.epage211-
dc.identifier.isiWOS:000412959400019-
dc.identifier.issnl0169-2046-

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