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Article: Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling

TitlePathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling
Authors
Issue Date2019
PublisherElsevier BV. The Journal's web site is located at http://www.sciencedirect.com/science/journal/22120955
Citation
Urban Climate, 2019, v. 28, article no. 100459 How to Cite?
AbstractThe WUDAPT (World Urban Database and Access Portal Tools project goal is to capture consistent information on urban form and function for cities worldwide that can support urban weather, climate, hydrology and air quality modeling. These data are provided as urban canopy parameters (UCPs) as used by weather, climate and air quality models to simulate the effects of urban surfaces on the overlying atmosphere. Information is stored with different levels of detail (LOD). With higher LOD greater spatial precision is provided. At the lowest LOD, Local Climate Zones (LCZ) with nominal UCP ranges is provided (order 100 m or more). To describe the spatial heterogeneity present in cities with great specificity at different urban scales we introduce the Digital Synthetic City (DSC) tool to generate UCPs at any desired scale meeting the fit-for-purpose goal of WUDAPT. 3D building and road elements of entire city landscapes are simulated based on readily available data. Comparisons with real-world urban data are very encouraging. It is customized (C-DSC) to incorporate each city's unique building morphologies based on unique types, variations and spatial distribution of building typologies, architecture features, construction materials and distribution of green and pervious surfaces. The C-DSC uses crowdsourcing methods and sampling within city Testbeds from around the world. UCP data can be computed from synthetic images at selected grid sizes and stored such that the coded string provides UCP values for individual grid cells.
Persistent Identifierhttp://hdl.handle.net/10722/274789
ISSN
2023 Impact Factor: 6.0
2023 SCImago Journal Rankings: 1.318
ISI Accession Number ID
Errata

 

DC FieldValueLanguage
dc.contributor.authorChing, J-
dc.contributor.authorAliaga, D-
dc.contributor.authorMills, G-
dc.contributor.authorMasson, V-
dc.contributor.authorSee, L-
dc.contributor.authorNeophytou, M-
dc.contributor.authorMiddel, A-
dc.contributor.authorBaklanov, A-
dc.contributor.authorRen, C-
dc.contributor.authorNg, E-
dc.contributor.authorFung, J-
dc.contributor.authorWong, M-
dc.contributor.authorHuang, Y-
dc.contributor.authorMartilli, A-
dc.contributor.authorBrousse, O-
dc.contributor.authorStewart, I-
dc.contributor.authorZhang, X-
dc.contributor.authorShehata, A-
dc.contributor.authorMiao, S-
dc.contributor.authorWang, X-
dc.contributor.authorWang, W-
dc.contributor.authorYamagata, Y-
dc.contributor.authorDuarte, D-
dc.contributor.authorLi, Y-
dc.contributor.authorFeddema, J-
dc.contributor.authorBechtel, B-
dc.contributor.authorHidalgo, J-
dc.contributor.authorRoustan, Y-
dc.contributor.authorKim, Y-
dc.contributor.authorSimon, H-
dc.contributor.authorKropp, T-
dc.contributor.authorBruse, M-
dc.contributor.authorLindberg, F-
dc.contributor.authorGrimmond, S-
dc.contributor.authorDemuzure, M-
dc.contributor.authorChen, F-
dc.contributor.authorLi, C-
dc.contributor.authorGonzales-Cruz, J-
dc.contributor.authorBornstein, B-
dc.contributor.authorHe, Q-
dc.contributor.authorLin, T-
dc.contributor.authorHanna, A-
dc.contributor.authorErell, E-
dc.contributor.authorTapper, N-
dc.contributor.authorMall, RK-
dc.contributor.authorNiyogi, D-
dc.date.accessioned2019-09-10T02:28:45Z-
dc.date.available2019-09-10T02:28:45Z-
dc.date.issued2019-
dc.identifier.citationUrban Climate, 2019, v. 28, article no. 100459-
dc.identifier.issn2212-0955-
dc.identifier.urihttp://hdl.handle.net/10722/274789-
dc.description.abstractThe WUDAPT (World Urban Database and Access Portal Tools project goal is to capture consistent information on urban form and function for cities worldwide that can support urban weather, climate, hydrology and air quality modeling. These data are provided as urban canopy parameters (UCPs) as used by weather, climate and air quality models to simulate the effects of urban surfaces on the overlying atmosphere. Information is stored with different levels of detail (LOD). With higher LOD greater spatial precision is provided. At the lowest LOD, Local Climate Zones (LCZ) with nominal UCP ranges is provided (order 100 m or more). To describe the spatial heterogeneity present in cities with great specificity at different urban scales we introduce the Digital Synthetic City (DSC) tool to generate UCPs at any desired scale meeting the fit-for-purpose goal of WUDAPT. 3D building and road elements of entire city landscapes are simulated based on readily available data. Comparisons with real-world urban data are very encouraging. It is customized (C-DSC) to incorporate each city's unique building morphologies based on unique types, variations and spatial distribution of building typologies, architecture features, construction materials and distribution of green and pervious surfaces. The C-DSC uses crowdsourcing methods and sampling within city Testbeds from around the world. UCP data can be computed from synthetic images at selected grid sizes and stored such that the coded string provides UCP values for individual grid cells.-
dc.languageeng-
dc.publisherElsevier BV. The Journal's web site is located at http://www.sciencedirect.com/science/journal/22120955-
dc.relation.ispartofUrban Climate-
dc.titlePathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling-
dc.typeArticle-
dc.identifier.emailRen, C: renchao@hku.hk-
dc.identifier.emailLi, Y: liyg@hku.hk-
dc.identifier.authorityRen, C=rp02447-
dc.identifier.authorityLi, Y=rp00151-
dc.description.naturelink_to_subscribed_fulltext-
dc.identifier.doi10.1016/j.uclim.2019.100459-
dc.identifier.scopuseid_2-s2.0-85065243421-
dc.identifier.hkuros302580-
dc.identifier.hkuros315809-
dc.identifier.volume28-
dc.identifier.spagearticle no. 100459-
dc.identifier.epagearticle no. 100459-
dc.identifier.isiWOS:000477730100011-
dc.publisher.placeNetherlands-
dc.relation.erratumdoi:10.1016/j.uclim.2019.100527-
dc.identifier.issnl2212-0955-

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