Articles | Volume 17, issue 7
https://doi.org/10.5194/gmd-17-2525-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-2525-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
05 Apr 2024
Model description paper |
| 05 Apr 2024
| 05 Apr 2024
A one-dimensional urban flow model with an eddy-diffusivity mass-flux (EDMF) scheme and refined turbulent transport (MLUCM v3.0)
School of Built Environment, University of New South Wales, Sydney, Australia
ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, Australia
Negin Nazarian
School of Built Environment, University of New South Wales, Sydney, Australia
ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, Australia
Melissa Anne Hart
ARC Centre of Excellence for Climate Extremes, University of New South Wales, Sydney, Australia
E. Scott Krayenhoff
School of Environmental Sciences, University of Guelph, Guelph, ON, Canada
Alberto Martilli
Atmospheric Pollution Division, Environmental Department, CIEMAT, Madrid, Spain
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Cited
21 citations as recorded by crossref.
- MLUCM BEP + BEM: an offline one-dimensional multi-layer urban canopy model based on the BEP + BEM scheme G. Pappaccogli et al. https://doi.org/10.5194/gmd-18-7129-2025
- Effects of urban canopy on kinematic and boundary layer structures of the landfalling Typhoon Lekima (2019) X. Ao et al. https://doi.org/10.1016/j.uclim.2026.102859
- Studies of vegetation effect on turbulence dynamics in an urban canopy layer using large eddy simulation A. Glazunov et al. https://doi.org/10.1016/j.uclim.2025.102628
- Three-dimensional large eddy simulation urban neighborhood model with updated building drag coefficient and universal multiscale Smagorinsky model Q. Shui et al. https://doi.org/10.1063/5.0216385
- Comparative analysis of microclimate simulations: Assessing the single-layer urban canopy model and ENVI-met in Hong Kong J. Lieber et al. https://doi.org/10.1016/j.uclim.2025.102621
- Modeling the vertical air temperature rise patterns of densely-built urban canyons under building anthropogenic heat via a scaled outdoor experiment L. Liu et al. https://doi.org/10.1016/j.buildenv.2025.114133
- Multi-scale Analysis of Flow over Heterogeneous Urban Environments M. van Reeuwijk & J. Huang https://doi.org/10.1007/s10546-025-00941-w
- Volumetric drag coefficients for generic urban configurations: Insights from canopy flow analysis M. Zhang et al. https://doi.org/10.1016/j.buildenv.2024.112273
- Parameterizing urban canopy radiation transfer using three-dimensional urban morphological parameters S. Mei et al. https://doi.org/10.1016/j.uclim.2025.102363
- Closing prediction gaps in urban canopy models through handling parameter and model-form uncertainties G. Setyantho & Y. Heo https://doi.org/10.1016/j.scs.2026.107404
- Impact of urban morphology on turbulence and drag in idealized building clusters Q. Gao et al. https://doi.org/10.1002/qj.70145
- Turbulent Length Scales in Urban Canopy Flow and Their Relation to Velocity Fluctuation Spectra A. Glazunov et al. https://doi.org/10.3103/S1068373925130096
- Neighbourhood-scale wind characteristics in a Nanjing heterogeneous residential area: An aerodynamic drag perspective M. Zhang et al. https://doi.org/10.1016/j.buildenv.2026.114298
- Large Eddy Simulation in the Urban Environment with Simplified and Realistic Surface Morphology A. Glazunov et al. https://doi.org/10.3103/S1068373925060056
- Development of a morphology-based wind speed model in the urban roughness sub-layer Q. Gao et al. https://doi.org/10.1016/j.jweia.2024.105871
- Wind Extremes over Built Terrain: Characterization and Geometric Determinants J. Wang et al. https://doi.org/10.1007/s10546-025-00899-9
- Mean wind speed profile parameterisation over an urban canopy with building height variability K. Nakao et al. https://doi.org/10.1016/j.uclim.2025.102469
- Including Dispersive Shear Stress in Urban Environments for Single Column Dispersion Models J. Retter et al. https://doi.org/10.1007/s10546-025-00924-x
- Machine learning predicts pedestrian wind flow from urban morphology and prevailing wind direction J. Lu et al. https://doi.org/10.1088/1748-9326/adc148
- Estimating averaged wind characteristics for generic urban neighbourhoods using drag-based approaches M. Zhang et al. https://doi.org/10.1016/j.buildenv.2025.113000
- A Unified Large-Eddy Simulation Guidance for Medium-Density Urban Cube Arrays S. Wang & J. Yang https://doi.org/10.1016/j.buildenv.2026.115182
21 citations as recorded by crossref.
- MLUCM BEP + BEM: an offline one-dimensional multi-layer urban canopy model based on the BEP + BEM scheme G. Pappaccogli et al. https://doi.org/10.5194/gmd-18-7129-2025
- Effects of urban canopy on kinematic and boundary layer structures of the landfalling Typhoon Lekima (2019) X. Ao et al. https://doi.org/10.1016/j.uclim.2026.102859
- Studies of vegetation effect on turbulence dynamics in an urban canopy layer using large eddy simulation A. Glazunov et al. https://doi.org/10.1016/j.uclim.2025.102628
- Three-dimensional large eddy simulation urban neighborhood model with updated building drag coefficient and universal multiscale Smagorinsky model Q. Shui et al. https://doi.org/10.1063/5.0216385
- Comparative analysis of microclimate simulations: Assessing the single-layer urban canopy model and ENVI-met in Hong Kong J. Lieber et al. https://doi.org/10.1016/j.uclim.2025.102621
- Modeling the vertical air temperature rise patterns of densely-built urban canyons under building anthropogenic heat via a scaled outdoor experiment L. Liu et al. https://doi.org/10.1016/j.buildenv.2025.114133
- Multi-scale Analysis of Flow over Heterogeneous Urban Environments M. van Reeuwijk & J. Huang https://doi.org/10.1007/s10546-025-00941-w
- Volumetric drag coefficients for generic urban configurations: Insights from canopy flow analysis M. Zhang et al. https://doi.org/10.1016/j.buildenv.2024.112273
- Parameterizing urban canopy radiation transfer using three-dimensional urban morphological parameters S. Mei et al. https://doi.org/10.1016/j.uclim.2025.102363
- Closing prediction gaps in urban canopy models through handling parameter and model-form uncertainties G. Setyantho & Y. Heo https://doi.org/10.1016/j.scs.2026.107404
- Impact of urban morphology on turbulence and drag in idealized building clusters Q. Gao et al. https://doi.org/10.1002/qj.70145
- Turbulent Length Scales in Urban Canopy Flow and Their Relation to Velocity Fluctuation Spectra A. Glazunov et al. https://doi.org/10.3103/S1068373925130096
- Neighbourhood-scale wind characteristics in a Nanjing heterogeneous residential area: An aerodynamic drag perspective M. Zhang et al. https://doi.org/10.1016/j.buildenv.2026.114298
- Large Eddy Simulation in the Urban Environment with Simplified and Realistic Surface Morphology A. Glazunov et al. https://doi.org/10.3103/S1068373925060056
- Development of a morphology-based wind speed model in the urban roughness sub-layer Q. Gao et al. https://doi.org/10.1016/j.jweia.2024.105871
- Wind Extremes over Built Terrain: Characterization and Geometric Determinants J. Wang et al. https://doi.org/10.1007/s10546-025-00899-9
- Mean wind speed profile parameterisation over an urban canopy with building height variability K. Nakao et al. https://doi.org/10.1016/j.uclim.2025.102469
- Including Dispersive Shear Stress in Urban Environments for Single Column Dispersion Models J. Retter et al. https://doi.org/10.1007/s10546-025-00924-x
- Machine learning predicts pedestrian wind flow from urban morphology and prevailing wind direction J. Lu et al. https://doi.org/10.1088/1748-9326/adc148
- Estimating averaged wind characteristics for generic urban neighbourhoods using drag-based approaches M. Zhang et al. https://doi.org/10.1016/j.buildenv.2025.113000
- A Unified Large-Eddy Simulation Guidance for Medium-Density Urban Cube Arrays S. Wang & J. Yang https://doi.org/10.1016/j.buildenv.2026.115182
Saved (final revised paper)
Latest update: 19 Sep 2026
Short summary
This study enhances urban canopy models by refining key assumptions. Simulations for various urban scenarios indicate discrepancies in turbulent transport efficiency for flow properties. We propose two modifications that involve characterizing diffusion coefficients for momentum and turbulent kinetic energy separately and introducing a physics-based
mass-fluxterm. These adjustments enhance the model's performance, offering more reliable temperature and surface flux estimates.
This study enhances urban canopy models by refining key assumptions. Simulations for various...
