Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling
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Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling. / Ching, Jason; Aliaga, Dan; Mills, Gerald; Masson, Valery; See, Linda; Neophytou, Marina; Middel, Ariane; Baklanov, Alexander; Ren, Chao; Ng, Ed; Fung, Jimmy; Wong, Michael; Huang, Yuan; Martilli, Alberto; Brousse, Oscar; Stewart, Iain; Zhang, Xiaowei; Shehata, Aly; Miao, Shiguang; Wang, Xuemei; Wang, Weiwen; Yamagata, Yoshiki; Duarte, Denise; Li, Yuguo; Feddema, Johan; Bechtel, Benjamin; Hidalgo, Julia; Roustan, Yelva; Kim, Young Seob; Simon, Helge; Kropp, Tim; Bruse, Michael; Lindberg, Fredrik; Grimmond, Sue; Demuzure, Matthias; Chen, Fei; Li, Chen; Gonzales-Cruz, Jorge; Bornstein, Bob; He, Qiaodong; Tzu-Ping; Hanna, Adel; Erell, Evyatar; Tapper, Nigel; Mall, R. K.; Niyogi, Dev.
In: Urban Climate, Vol. 28, 100459, 06.2019.Research output: Contribution to journal › Journal article › Research › peer-review
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TY - JOUR
T1 - Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling
AU - Ching, Jason
AU - Aliaga, Dan
AU - Mills, Gerald
AU - Masson, Valery
AU - See, Linda
AU - Neophytou, Marina
AU - Middel, Ariane
AU - Baklanov, Alexander
AU - Ren, Chao
AU - Ng, Ed
AU - Fung, Jimmy
AU - Wong, Michael
AU - Huang, Yuan
AU - Martilli, Alberto
AU - Brousse, Oscar
AU - Stewart, Iain
AU - Zhang, Xiaowei
AU - Shehata, Aly
AU - Miao, Shiguang
AU - Wang, Xuemei
AU - Wang, Weiwen
AU - Yamagata, Yoshiki
AU - Duarte, Denise
AU - Li, Yuguo
AU - Feddema, Johan
AU - Bechtel, Benjamin
AU - Hidalgo, Julia
AU - Roustan, Yelva
AU - Kim, Young Seob
AU - Simon, Helge
AU - Kropp, Tim
AU - Bruse, Michael
AU - Lindberg, Fredrik
AU - Grimmond, Sue
AU - Demuzure, Matthias
AU - Chen, Fei
AU - Li, Chen
AU - Gonzales-Cruz, Jorge
AU - Bornstein, Bob
AU - He, Qiaodong
AU - Tzu-Ping, null
AU - Hanna, Adel
AU - Erell, Evyatar
AU - Tapper, Nigel
AU - Mall, R. K.
AU - Niyogi, Dev
PY - 2019/6
Y1 - 2019/6
N2 - The 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.
AB - The 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.
UR - http://www.scopus.com/inward/record.url?scp=85065243421&partnerID=8YFLogxK
U2 - 10.1016/j.uclim.2019.100459
DO - 10.1016/j.uclim.2019.100459
M3 - Journal article
AN - SCOPUS:85065243421
VL - 28
JO - Urban Climate
JF - Urban Climate
SN - 2212-0955
M1 - 100459
ER -
ID: 230996362