WRF-based hybrid model for high-resolution prediction of urban thermal-wind environments under present and future climate scenarios

Pengyu Jie; Guanda Li; Matthaios Santamouris; Sihong Du; Sijie Zhu; Hongzhe Yue; Guanli Feng; Maomao Hu; Xing Shi

doi:10.1016/j.scs.2026.107315

journal article May 01, 2026

WRF-based hybrid model for high-resolution prediction of urban thermal-wind environments under present and future climate scenarios

Pengyu Jie

Guanda Li Matthaios Santamouris Sihong Du Sijie Zhu Hongzhe Yue Guanli Feng

Maomao Hu

Xing Shi

Sustainable Cities and Society Vol. 142 pp. 107315 · Elsevier BV

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References

80

[1]

Alexander "Harnessing the opportunities and understanding the limits of state level climate action plans in the United States" Cities (2020) 10.1016/j.cities.2020.102622

[2]

Assessing impact of urban densification on outdoor microclimate and thermal comfort using ENVI-met simulations for Combined Spatial-Climatic Design (CSCD) approach

Shreya Banerjee, Rachel Xin Yi Pek, Sin Kang Yik et al.

Sustainable Cities and Society 2024 10.1016/j.scs.2024.105302

[3]

Constructing design weather data for future climates

SE Belcher, JN Hacker, DS Powell

Building Services Engineering Research and Technol... 2005 10.1191/0143624405bt112oa

[4]

Bevacqua "A year above 1.5°C signals that Earth is most probably within the 20-year period that will reach the Paris Agreement limit" Nature Climate Change (2025)

[5]

Boccalatte "Microclimate and urban morphology effects on building energy demand in different European cities" Energy and Buildings (2020) 10.1016/j.enbuild.2020.110129

[6]

Bowen (2011)

[7]

Campagna "On the impact of climate change on building energy consumptions: A meta-analysis" Energies (2022) 10.3390/en15010354

[8]

Cao "The effects of 2D and 3D building morphology on urban environments: A multi-scale analysis in the Beijing metropolitan region" Building and Environment (2021) 10.1016/j.buildenv.2021.107635

[9]

Carmeliet "How to beat the heat in cities through urban climate modelling" Nature Reviews Physics (2024) 10.1038/s42254-023-00673-1

[10]

Chen "The application of a high-density street-level air temperature observation network (HiSAN): Spatial and temporal variations of thermal and wind condition in different climatic condition types" Sustainable Cities and Society (2024) 10.1016/j.scs.2024.105547

[11]

Ding "A WRF-UCM-SOLWEIG framework for mapping thermal comfort and quantifying urban climate drivers: Advancing spatial and temporal resolutions at city scale" Sustainable Cities and Society (2024) 10.1016/j.scs.2024.105628

[12]

Du "Development of an expanded local climate zone scheme to accommodate diversified urban morphological evolution: A case study of Shanghai, China" Urban Climate (2024) 10.1016/j.uclim.2024.102009

[13]

Du "Customized cooling design scheme for diversified local climate zones to accommodate urban spatial heterogeneity" Building and Environment (2025) 10.1016/j.buildenv.2025.113397

[14]

Du "A review of multi-scale modelling, assessment, and improvement methods of the urban thermal and wind environment" Building and Environment (2022) 10.1016/j.buildenv.2022.108860

[15]

Typical-year and multi-year building energy simulation approaches: A critical comparison

Gianpiero Evola, Vincenzo Costanzo, Marco Infantone et al.

Energy 2021 10.1016/j.energy.2020.119591

[16]

Fan "An improved typical meteorological year based on outdoor climate comprehensive description method" Building and Environment (2021) 10.1016/j.buildenv.2021.108366

[17]

Gao "Ensuring accurate microclimate research: How to select representative meteorological data of local climate in microclimate studies" Building and Environment (2025) 10.1016/j.buildenv.2024.112166

[18]

Guo "Projected changes in wind speed and its energy potential in China using a high-resolution regional climate model" Wind Energy (2020) 10.1002/we.2417

[19]

J. Guo, G. Huang, X. Wang, Y. Xu, Y. Li, Projected changes in wind speed and its energy potential in China using a high-resolution regional climate model, (2026 n.d.). https://doi.org/10.1002/we.2417. 10.1002/we.2417

[20]

Guo "A rapid modeling method for urban microscale meteorology and its applications" Sci. China Earth Sci. (2023) 10.1007/s11430-022-1160-6

[21]

Haddad "Quantifying the energy impact of heat mitigation technologies at the urban scale" Nature Cities (2024) 10.1038/s44284-023-00005-5

[22]

Haeri "Evaluation of microclimate mitigation strategies in a heterogenous street canyon in Kuala Lumpur from outdoor thermal comfort perspective using Envi-met" Urban Climate (2023) 10.1016/j.uclim.2023.101719

[23]

Halder "Monitoring the effect of urban development on urban heat island based on remote sensing and geo-spatial approach in Kolkata and adjacent areas, India" Sustainable Cities and Society (2021) 10.1016/j.scs.2021.103186

[24]

Hashemi "A novel parametric workflow for simulating urban heat island effects on residential building energy use: Coupling local climate zones with the urban weather generator a case study of seven U.S. cities" Sustainable Cities and Society (2024) 10.1016/j.scs.2024.105568

[25]

Huang "Sensitivity analysis of WRF-CFD-based downscaling methods for evaluation of urban pedestrian-level wind" Urban Climate (2023) 10.1016/j.uclim.2023.101569

[26]

Ishida "Use of one-dimensional CNN for input data size reduction in LSTM for improved computational efficiency and accuracy in hourly rainfall-runoff modeling" Journal of Environmental Management (2024) 10.1016/j.jenvman.2024.120931

[27]

Jandaghian "Comparing urban canopy models for microclimate simulations in Weather Research and Forecasting Models" Sustainable Cities and Society (2020) 10.1016/j.scs.2020.102025

[28]

Jentsch "Transforming existing weather data for worldwide locations to enable energy and building performance simulation under future climates" Renewable Energy (2013) 10.1016/j.renene.2012.12.049

[29]

Jie "Assessing how wind environments impact urban building energy: A simulation workflow application and evaluation in Shanghai" Sustainable Cities and Society (2025) 10.1016/j.scs.2025.106442

[30]

Jie "Impact of urban wind environment on urban building energy: A review of mechanisms and modeling" Building and Environment (2023) 10.1016/j.buildenv.2023.110947

[31]

Kastner "A GAN-based surrogate model for instantaneous urban wind flow prediction" Building and Environment (2023) 10.1016/j.buildenv.2023.110384

[32]

Lauzet "How building energy models take the local climate into account in an urban context–A review" Renewable and Sustainable Energy Reviews (2019) 10.1016/j.rser.2019.109390

[33]

Li "Multidisciplinary parameters for characterizing the 3D urban morphology: An overview based on the relational perspective" Sustainable Cities and Society (2024)

[34]

Li "Estimating omnidirectional urban vertical wind speed with direction-dependent building morphologies" Energy and Buildings (2024) 10.1016/j.enbuild.2023.113749

[35]

Li "Multi-modal ensemble deep learning model for microclimate prediction using urban morphological maps" Energy (2025) 10.1016/j.energy.2025.138594

[36]

Li "On the influence of density and morphology on the Urban Heat Island intensity" Nature Communications (2020) 10.1038/s41467-020-16461-9

[37]

Liang "The 2022 extreme heatwave in Shanghai, lower reaches of the Yangtze River Valley: Combined influences of multiscale variabilities" Adv. Atmos. Sci. (2024) 10.1007/s00376-023-3007-8

[38]

Liu "Urban heat island impacts on cooling energy demand of residential buildings at the city scale: A case study of Hong Kong" Energy (2025) 10.1016/j.energy.2025.137165

[39]

Lundberg "A unified approach to interpreting model predictions" Advances in Neural Information Processing Systems (2017)

[40]

Ma "Street microclimate prediction based on Transformer model and street view image in high-density urban areas" Building and Environment (2025) 10.1016/j.buildenv.2024.112490

[41]

Milojevic-Dupont "Machine learning for geographically differentiated climate change mitigation in urban areas" Sustainable Cities and Society (2021) 10.1016/j.scs.2020.102526

[42]

Mirza "Studying impact of infrastructure development on urban microclimate: Integrated multiparameter analysis using OpenFOAM" Energy Nexus (2022) 10.1016/j.nexus.2022.100060

[43]

Mondal "Systematic review of the efficacy of data-driven urban building energy models during extreme heat in cities: Current trends and future outlook" Building Simulation (2024) 10.1007/s12273-024-1112-y

[44]

Moradi "A comprehensive indoor–outdoor urban climate model with hydrology: The Vertical City weather Generator (VCWG v2. 0.0)" Building and Environment (2022) 10.1016/j.buildenv.2021.108406

[45]

Ng "Improving the wind environment in high-density cities by understanding urban morphology and surface roughness: A study in Hong Kong" Landscape and Urban Planning (2011) 10.1016/j.landurbplan.2011.01.004

[46]

Nik "Making energy simulation easier for future climate–Synthesizing typical and extreme weather data sets out of regional climate models (RCMs)" Applied Energy (2016) 10.1016/j.apenergy.2016.05.107

[47]

Rahman "Identifying and ranking of CMIP6-global climate models for projected changes in temperature over Indian subcontinent" Scientific Reports (2024) 10.1038/s41598-024-52275-1

[48]

Rayner

[49]

Ribeiro "Highly resolved WRF-BEP/BEM simulations over Barcelona urban area with LCZ" Atmospheric Research (2021) 10.1016/j.atmosres.2020.105220

[50]

Ribeiro "Highly resolved WRF-BEP/BEM simulations over Barcelona urban area with LCZ" Atmospheric Research (2021) 10.1016/j.atmosres.2020.105220

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Details

Published: May 01, 2026
Vol/Issue: 142
Pages: 107315
License: View

Authors

Matthaios Santamouris

College of Architecture and Urban Planning, Tongji University, No. 1239 Si Ping Road, Shanghai 200092, China

Funding

National Natural Science Foundation of China Award: 52478031

China Scholarship Council

National University of Singapore Award: A-0009876-00-00

Cite This Article

Pengyu Jie, Guanda Li, Matthaios Santamouris, et al. (2026). WRF-based hybrid model for high-resolution prediction of urban thermal-wind environments under present and future climate scenarios. Sustainable Cities and Society, 142, 107315. https://doi.org/10.1016/j.scs.2026.107315

WRF-based hybrid model for high-resolution prediction of urban thermal-wind environments under present and future climate scenarios

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