Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5609-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Special issue:
https://doi.org/10.5194/gmd-13-5609-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Multi-layer coupling between SURFEX-TEB-v9.0 and Meso-NH-v5.3 for modelling the urban climate of high-rise cities
Robert Schoetter
CORRESPONDING AUTHOR
CNRM, Université de Toulouse, Météo-France, CNRS, 42 avenue Gaspard Coriolis, 31057, CEDEX 1, Toulouse, France
Yu Ting Kwok
School of Architecture, The Chinese University of Hong Kong, Hong Kong, China
Cécile de Munck
CNRM, Université de Toulouse, Météo-France, CNRS, 42 avenue Gaspard Coriolis, 31057, CEDEX 1, Toulouse, France
Kevin Ka Lun Lau
Institute of Future Cities, The Chinese University of Hong Kong, Hong Kong, China
Wai Kin Wong
Hong Kong Observatory, Hong Kong, China
Valéry Masson
CNRM, Université de Toulouse, Météo-France, CNRS, 42 avenue Gaspard Coriolis, 31057, CEDEX 1, Toulouse, France
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Cited
21 citations as recorded by crossref.
- Investigating the impact of urban microclimate on building thermal performance: A case study of dense urban areas in Hong Kong S. Liu et al. 10.1016/j.scs.2023.104509
- A one-dimensional urban flow model with an eddy-diffusivity mass-flux (EDMF) scheme and refined turbulent transport (MLUCM v3.0) J. Lu et al. 10.5194/gmd-17-2525-2024
- Drag Coefficient and Turbulence Mixing Length of Local Climate Zone-Based Urban Morphologies Derived Using Obstacle-Resolving Modelling T. Nagel et al. 10.1007/s10546-022-00780-z
- Assessment of the Paris urban heat island in ERA5 and offline SURFEX-TEB (v8.1) simulations using the METEOSAT land surface temperature product M. Nogueira et al. 10.5194/gmd-15-5949-2022
- Turbulent flow modification in the atmospheric surface layer over a dense city L. Yao et al. 10.1016/j.scitotenv.2023.168315
- The influence of vegetation drought stress on formaldehyde and ozone distributions over a central European city H. Trimmel et al. 10.1016/j.atmosenv.2023.119768
- Improvement of WRF–CM–BEM and its application to high-resolution hindcasting of summertime urban electricity consumption K. Nakajima et al. 10.1016/j.enbuild.2023.113336
- Impact of topography and land cover on air temperature space-time variability in an urban environment with contrasted topography (Dijon, France, 2014–2021) J. Crétat et al. 10.1007/s00704-023-04742-4
- The heat and health in cities (H2C) project to support the prevention of extreme heat in cities A. Lemonsu et al. 10.1016/j.cliser.2024.100472
- The hectometric modelling challenge: Gaps in the current state of the art and ways forward towards the implementation of 100‐m scale weather and climate models H. Lean et al. 10.1002/qj.4858
- To what extent can urban ventilation features cool a compact built-up environment during a prolonged heatwave? A mesoscale numerical modelling study for Hong Kong Y. Kwok et al. 10.1016/j.scs.2021.103541
- Parameterization of the Interaction between the Atmosphere and the Urban Surface: Current State and Prospects M. Tarasova et al. 10.1134/S0001433823020068
- Evaluation of isoprene emissions from the coupled model SURFEX–MEGANv2.1 S. Oumami et al. 10.5194/gmd-17-3385-2024
- On the Parameterization of the Mean Wind Profile for Urban Canopy Models M. Tarasova et al. 10.1134/S1995080224603801
- High-resolution mesoscale simulation of the microclimatic effects of urban development in the past, present, and future Hong Kong Y. Kwok et al. 10.1016/j.uclim.2021.100850
- Parameterization of Interaction between the Atmosphere and the Urban Surface: Current State and Prospects M. Tarasova et al. 10.31857/S0002351523020062
- Budgets of Second-Order Turbulence Moments over a Real Urban Canopy E. Akinlabi et al. 10.1007/s10546-023-00816-y
- Applicability of different extreme weather datasets for assessing indoor overheating risks of residential buildings in a subtropical high-density city S. Liu et al. 10.1016/j.buildenv.2021.107711
- Turbulence Characteristics Across a Range of Idealized Urban Canopy Geometries L. Blunn et al. 10.1007/s10546-021-00658-6
- Towards decarbonisation targets by changing setpoint temperature to avoid building overcooling and implementing district cooling in (sub)tropical high-density cities – A case study of Hong Kong Y. Kwok et al. 10.1016/j.scitotenv.2021.152338
- Machine learning bias correction and downscaling of urban heatwave temperature predictions from kilometre to hectometre scale L. Blunn et al. 10.1002/met.2200
21 citations as recorded by crossref.
- Investigating the impact of urban microclimate on building thermal performance: A case study of dense urban areas in Hong Kong S. Liu et al. 10.1016/j.scs.2023.104509
- A one-dimensional urban flow model with an eddy-diffusivity mass-flux (EDMF) scheme and refined turbulent transport (MLUCM v3.0) J. Lu et al. 10.5194/gmd-17-2525-2024
- Drag Coefficient and Turbulence Mixing Length of Local Climate Zone-Based Urban Morphologies Derived Using Obstacle-Resolving Modelling T. Nagel et al. 10.1007/s10546-022-00780-z
- Assessment of the Paris urban heat island in ERA5 and offline SURFEX-TEB (v8.1) simulations using the METEOSAT land surface temperature product M. Nogueira et al. 10.5194/gmd-15-5949-2022
- Turbulent flow modification in the atmospheric surface layer over a dense city L. Yao et al. 10.1016/j.scitotenv.2023.168315
- The influence of vegetation drought stress on formaldehyde and ozone distributions over a central European city H. Trimmel et al. 10.1016/j.atmosenv.2023.119768
- Improvement of WRF–CM–BEM and its application to high-resolution hindcasting of summertime urban electricity consumption K. Nakajima et al. 10.1016/j.enbuild.2023.113336
- Impact of topography and land cover on air temperature space-time variability in an urban environment with contrasted topography (Dijon, France, 2014–2021) J. Crétat et al. 10.1007/s00704-023-04742-4
- The heat and health in cities (H2C) project to support the prevention of extreme heat in cities A. Lemonsu et al. 10.1016/j.cliser.2024.100472
- The hectometric modelling challenge: Gaps in the current state of the art and ways forward towards the implementation of 100‐m scale weather and climate models H. Lean et al. 10.1002/qj.4858
- To what extent can urban ventilation features cool a compact built-up environment during a prolonged heatwave? A mesoscale numerical modelling study for Hong Kong Y. Kwok et al. 10.1016/j.scs.2021.103541
- Parameterization of the Interaction between the Atmosphere and the Urban Surface: Current State and Prospects M. Tarasova et al. 10.1134/S0001433823020068
- Evaluation of isoprene emissions from the coupled model SURFEX–MEGANv2.1 S. Oumami et al. 10.5194/gmd-17-3385-2024
- On the Parameterization of the Mean Wind Profile for Urban Canopy Models M. Tarasova et al. 10.1134/S1995080224603801
- High-resolution mesoscale simulation of the microclimatic effects of urban development in the past, present, and future Hong Kong Y. Kwok et al. 10.1016/j.uclim.2021.100850
- Parameterization of Interaction between the Atmosphere and the Urban Surface: Current State and Prospects M. Tarasova et al. 10.31857/S0002351523020062
- Budgets of Second-Order Turbulence Moments over a Real Urban Canopy E. Akinlabi et al. 10.1007/s10546-023-00816-y
- Applicability of different extreme weather datasets for assessing indoor overheating risks of residential buildings in a subtropical high-density city S. Liu et al. 10.1016/j.buildenv.2021.107711
- Turbulence Characteristics Across a Range of Idealized Urban Canopy Geometries L. Blunn et al. 10.1007/s10546-021-00658-6
- Towards decarbonisation targets by changing setpoint temperature to avoid building overcooling and implementing district cooling in (sub)tropical high-density cities – A case study of Hong Kong Y. Kwok et al. 10.1016/j.scitotenv.2021.152338
- Machine learning bias correction and downscaling of urban heatwave temperature predictions from kilometre to hectometre scale L. Blunn et al. 10.1002/met.2200
Latest update: 20 Nov 2024
Short summary
Cities change the local meteorological conditions, e.g. by increasing air temperature, which can negatively impact humans and infrastructure. The urban climate model TEB is able to calculate the meteorological conditions in low- and mid-rise cities since it interacts with the lowest level of an atmospheric model. Here, a multi-layer coupling of TEB is introduced to enable modelling the urban climate of cities with many skyscrapers; the new version is tested for the high-rise city of Hong Kong.
Cities change the local meteorological conditions, e.g. by increasing air temperature, which can...
Special issue