Articles | Volume 15, issue 13
https://doi.org/10.5194/gmd-15-5309-2022
© Author(s) 2022. 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-15-5309-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
uDALES 1.0: a large-eddy simulation model for urban environments
Ivo Suter
Department of Civil and Environmental Engineering, Imperial College London, London, UK
Empa, Swiss Federal Laboratories for Materials Science and Technology, Dübendorf, Switzerland
Tom Grylls
Department of Civil and Environmental Engineering, Imperial College London, London, UK
Birgit S. Sützl
Department of Civil and Environmental Engineering, Imperial College London, London, UK
Chair of Building Physics, ETH, Zürich, Switzerland
Sam O. Owens
Department of Civil and Environmental Engineering, Imperial College London, London, UK
Chris E. Wilson
Department of Civil and Environmental Engineering, Imperial College London, London, UK
Maarten van Reeuwijk
CORRESPONDING AUTHOR
Department of Civil and Environmental Engineering, Imperial College London, London, UK
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Cited
12 citations as recorded by crossref.
- High-fidelity simulation of the effects of street trees, green roofs and green walls on the distribution of thermal exposure in Prague-Dejvice J. Geletič et al. 10.1016/j.buildenv.2022.109484
- Quantification of Uncertainties of Radiative Transfer Calculation in Urban Canopy Models R. Schoetter et al. 10.1007/s10546-023-00827-9
- Numerical Simulations of Boundary-Layer Airflow Over Pitched-Roof Buildings M. Coburn et al. 10.1007/s10546-022-00738-1
- A conservative immersed boundary method for the multi-physics urban large-eddy simulation model uDALES v2.0 S. Owens et al. 10.5194/gmd-17-6277-2024
- Challenges of constructing and selecting the “perfect” boundary conditions for the large-eddy simulation model PALM J. Radović et al. 10.5194/gmd-17-2901-2024
- Numerical simulation to assess the impact of urban green infrastructure on building energy use: A review S. Zhu et al. 10.1016/j.buildenv.2022.109832
- Machine learning framework for high-resolution air temperature downscaling using LiDAR-derived urban morphological features F. Chajaei & H. Bagheri 10.1016/j.uclim.2024.102102
- Traditional and novel approaches to studying the human thermal environment in urban areas: A critical review of the current state of the art M. Lehnert et al. 10.37040/geografie.2023.012
- Evaluation of an immersed boundary numerical framework to address the wind field in complex urban topographies P. Vanky et al. 10.1016/j.buildenv.2024.112036
- Heat exposure variations and mitigation in a densely populated neighborhood during a hot day: Towards a people-oriented approach to urban climate management J. Geletič et al. 10.1016/j.buildenv.2023.110564
- Effects of street plants on atmospheric particulate dispersion in urban streets: A review X. Wang et al. 10.1139/er-2023-0103
- uDALES 1.0: a large-eddy simulation model for urban environments I. Suter et al. 10.5194/gmd-15-5309-2022
11 citations as recorded by crossref.
- High-fidelity simulation of the effects of street trees, green roofs and green walls on the distribution of thermal exposure in Prague-Dejvice J. Geletič et al. 10.1016/j.buildenv.2022.109484
- Quantification of Uncertainties of Radiative Transfer Calculation in Urban Canopy Models R. Schoetter et al. 10.1007/s10546-023-00827-9
- Numerical Simulations of Boundary-Layer Airflow Over Pitched-Roof Buildings M. Coburn et al. 10.1007/s10546-022-00738-1
- A conservative immersed boundary method for the multi-physics urban large-eddy simulation model uDALES v2.0 S. Owens et al. 10.5194/gmd-17-6277-2024
- Challenges of constructing and selecting the “perfect” boundary conditions for the large-eddy simulation model PALM J. Radović et al. 10.5194/gmd-17-2901-2024
- Numerical simulation to assess the impact of urban green infrastructure on building energy use: A review S. Zhu et al. 10.1016/j.buildenv.2022.109832
- Machine learning framework for high-resolution air temperature downscaling using LiDAR-derived urban morphological features F. Chajaei & H. Bagheri 10.1016/j.uclim.2024.102102
- Traditional and novel approaches to studying the human thermal environment in urban areas: A critical review of the current state of the art M. Lehnert et al. 10.37040/geografie.2023.012
- Evaluation of an immersed boundary numerical framework to address the wind field in complex urban topographies P. Vanky et al. 10.1016/j.buildenv.2024.112036
- Heat exposure variations and mitigation in a densely populated neighborhood during a hot day: Towards a people-oriented approach to urban climate management J. Geletič et al. 10.1016/j.buildenv.2023.110564
- Effects of street plants on atmospheric particulate dispersion in urban streets: A review X. Wang et al. 10.1139/er-2023-0103
1 citations as recorded by crossref.
Latest update: 07 Sep 2024
Short summary
Cities are increasingly moving to the fore of climate and air quality research due to their central role in the population’s health and well-being, while suitable models remain scarce. This article describes the development of a new urban LES model, which allows examining the effects of various processes, infrastructure and vegetation on the local climate and air quality. Possible applications are demonstrated and a comparison to an experiment is shown.
Cities are increasingly moving to the fore of climate and air quality research due to their...