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

Jason Ching; Dan Aliaga; Gerald Mills; Valery Masson; Linda See; Marina Neophytou; Ariane Middel; Alexander Baklanov; Chao Ren; Ed Ng; Jimmy Fung; Michael Wong; Yuan Huang; Alberto Martilli; Oscar Brousse; Iain Stewart; Xiaowei Zhang; Aly Shehata; Shiguang Miao; Xuemei Wang; Weiwen Wang; Yoshiki Yamagata; Denise Duarte; Yuguo Li; Johan Feddema; Benjamin Bechtel; Julia Hidalgo; Yelva Roustan; Young Seob Kim; Helge Simon; Tim Kropp; Michael Bruse; Fredrik Lindberg; Sue Grimmond; Matthias Demuzure; Fei Chen; Chen Li; Jorge Gonzales-Cruz; Bob Bornstein; Qiaodong He; null Tzu-Ping; Adel Hanna; Evyatar Erell; Nigel Tapper; R. K. Mall; Dev Niyogi

doi:10.1016/j.uclim.2019.100459

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

Jason Ching^*, Dan Aliaga, Gerald Mills, Valery Masson, Linda See, Marina Neophytou, Ariane Middel, Alexander Baklanov, Chao Ren, Ed Ng, Jimmy Fung, Michael Wong, Yuan Huang, Alberto Martilli, Oscar Brousse, Iain Stewart, Xiaowei Zhang, Aly Shehata, Shiguang Miao, Xuemei WangWeiwen Wang, Yoshiki Yamagata, Denise Duarte, Yuguo Li, Johan Feddema, Benjamin Bechtel, Julia Hidalgo, Yelva Roustan, Young Seob Kim, Helge Simon, Tim Kropp, Michael Bruse, Fredrik Lindberg, Sue Grimmond, Matthias Demuzure, Fei Chen, Chen Li, Jorge Gonzales-Cruz, Bob Bornstein, Qiaodong He, Tzu-Ping, Adel Hanna, Evyatar Erell, Nigel Tapper, R. K. Mall, Dev Niyogi

^*Corresponding author for this work

Climate and Geophysics

20 Citations (Scopus)

Abstract

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.

Original language	English
Article number	100459
Journal	Urban Climate
Volume	28
ISSN	2212-0955
DOIs	https://doi.org/10.1016/j.uclim.2019.100459
Publication status	Published - Jun 2019

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Ching, J., Aliaga, D., Mills, G., Masson, V., See, L., Neophytou, M., Middel, A., Baklanov, A., Ren, C., Ng, E., Fung, J., Wong, M., Huang, Y., Martilli, A., Brousse, O., Stewart, I., Zhang, X., Shehata, A., Miao, S., ... Niyogi, D. (2019). Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling. Urban Climate, 28, [100459]. https://doi.org/10.1016/j.uclim.2019.100459

Ching, J, Aliaga, D, Mills, G, Masson, V, See, L, Neophytou, M, Middel, A, Baklanov, A, Ren, C, Ng, E, Fung, J, Wong, M, Huang, Y, Martilli, A, Brousse, O, Stewart, I, Zhang, X, Shehata, A, Miao, S, Wang, X, Wang, W, Yamagata, Y, Duarte, D, Li, Y, Feddema, J, Bechtel, B, Hidalgo, J, Roustan, Y, Kim, YS, Simon, H, Kropp, T, Bruse, M, Lindberg, F, Grimmond, S, Demuzure, M, Chen, F, Li, C, Gonzales-Cruz, J, Bornstein, B, He, Q, Tzu-Ping, Hanna, A, Erell, E, Tapper, N, Mall, RK & Niyogi, D 2019, 'Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling', Urban Climate, vol. 28, 100459. https://doi.org/10.1016/j.uclim.2019.100459

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title = "Pathway using WUDAPT's Digital Synthetic City tool towards generating urban canopy parameters for multi-scale urban atmospheric modeling",

abstract = "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.",

author = "Jason Ching and Dan Aliaga and Gerald Mills and Valery Masson and Linda See and Marina Neophytou and Ariane Middel and Alexander Baklanov and Chao Ren and Ed Ng and Jimmy Fung and Michael Wong and Yuan Huang and Alberto Martilli and Oscar Brousse and Iain Stewart and Xiaowei Zhang and Aly Shehata and Shiguang Miao and Xuemei Wang and Weiwen Wang and Yoshiki Yamagata and Denise Duarte and Yuguo Li and Johan Feddema and Benjamin Bechtel and Julia Hidalgo and Yelva Roustan and Kim, {Young Seob} and Helge Simon and Tim Kropp and Michael Bruse and Fredrik Lindberg and Sue Grimmond and Matthias Demuzure and Fei Chen and Chen Li and Jorge Gonzales-Cruz and Bob Bornstein and Qiaodong He and Tzu-Ping and Adel Hanna and Evyatar Erell and Nigel Tapper and Mall, {R. K.} and Dev Niyogi",

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doi = "10.1016/j.uclim.2019.100459",

language = "English",

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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

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JO - Urban Climate

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M1 - 100459

ER -

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

Abstract

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