Articles | Volume 14, issue 2
https://doi.org/10.5194/gmd-14-961-2021
© Author(s) 2021. 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-14-961-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
18 Feb 2021
Model description paper |
| 18 Feb 2021
| 18 Feb 2021
The Vertical City Weather Generator (VCWG v1.3.2)
Mohsen Moradi
School of Engineering, University of Guelph, Guelph, Canada
Benjamin Dyer
School of Engineering, University of Guelph, Guelph, Canada
Amir Nazem
School of Engineering, University of Guelph, Guelph, Canada
Manoj K. Nambiar
School of Engineering, University of Guelph, Guelph, Canada
M. Rafsan Nahian
School of Engineering, University of Guelph, Guelph, Canada
Bruno Bueno
Fraunhofer Institute for Solar Energy Systems ISE, Freiburg, Germany
Chris Mackey
Ladybug Tools LLC, Boston, MA, USA
Saeran Vasanthakumar
Kieran Timberlake Research Group, Philadelphia, PA, USA
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
E. Scott Krayenhoff
School of Environmental Sciences, University of Guelph, Guelph, Canada
Leslie K. Norford
Department of Architecture, Massachusetts Institute of Technology, Cambridge, MA, USA
Amir A. Aliabadi
CORRESPONDING AUTHOR
School of Engineering, University of Guelph, Guelph, Canada
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- Parameterizing building effects on airflows within the urban canopy layer for high‐resolution models using a nudging approach G. Cheng et al. 10.1002/qj.4524
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- Evaluation of the Urban Weather Generator on the City of Toulouse (France) H. Hamdi et al. 10.3390/app14010185
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- Implications of latent and sensible building energy loads using natural ventilation M. Safdari et al. 10.1016/j.jobe.2024.110447
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19 citations as recorded by crossref.
- Urban building energy and microclimate modeling – From 3D city generation to dynamic simulations A. Katal et al. 10.1016/j.energy.2022.123817
- Development of the Indian Future Weather File Generator Based on Representative Concentration Pathways N. Manapragada et al. 10.3390/su142215191
- Mapping the urban heat Island at the territory scale: An unsupervised learning approach for urban planning applied to the Canton of Geneva A. Boccalatte et al. 10.1016/j.scs.2023.104677
- A practical approach to the evaluation of local urban overheating– A coastal city case-study S. Martinez et al. 10.1016/j.enbuild.2021.111522
- Microclimate spatio-temporal prediction using deep learning and land use data J. Han et al. 10.1016/j.buildenv.2024.111358
- The Vatic Weather File Generator (VWFG v1.0.0) A. Aliabadi & R. McLeod 10.1016/j.jobe.2023.105966
- Parameterizing building effects on airflows within the urban canopy layer for high‐resolution models using a nudging approach G. Cheng et al. 10.1002/qj.4524
- CityFFD – City fast fluid dynamics for urban microclimate simulations on graphics processing units M. Mortezazadeh et al. 10.1016/j.uclim.2021.101063
- Evaluation of the Urban Weather Generator on the City of Toulouse (France) H. Hamdi et al. 10.3390/app14010185
- Retrofit optimization of building systems for future climates using an urban physics model A. Aliabadi et al. 10.1016/j.buildenv.2023.110655
- Evaluation of multi-layer urban canopy model (MLUCM) for urban microclimate predictions at different urban contexts G. Setyantho et al. 10.1016/j.uclim.2024.101882
- Atmospheric transport over open-pit mines: The effects of thermal stability and mine depth S. Kia et al. 10.1016/j.jweia.2021.104677
- The budgets of turbulence kinetic energy and heat in the urban roughness sublayer A. Aliabadi et al. 10.1007/s10652-021-09800-x
- The interactive indoor-outdoor building energy modeling for enhancing the predictions of urban microclimates and building energy demands L. Wang et al. 10.1016/j.buildenv.2023.111059
- How Much Building Renewable Energy Is Enough? The Vertical City Weather Generator (VCWG v1.4.4) A. Aliabadi et al. 10.3390/atmos12070882
- A comprehensive indoor–outdoor urban climate model with hydrology: The Vertical City Weather Generator (VCWG v2.0.0) M. Moradi et al. 10.1016/j.buildenv.2021.108406
- Implications of latent and sensible building energy loads using natural ventilation M. Safdari et al. 10.1016/j.jobe.2024.110447
- A comprehensive review of applications and feedback impact of microclimate on building operation and energy L. Pasandi et al. 10.1016/j.buildenv.2024.111855
- Electricity Consumption Forecast of High-Rise Office Buildings Based on the Long Short-Term Memory Method X. Lin et al. 10.3390/en14164785
Latest update: 14 Dec 2024
Short summary
The Vertical City Weather Generator (VCWG) is an urban microclimate model developed to predict temporal and vertical variation of potential temperature, wind speed, and specific humidity. VCWG is forced by climate variables at a nearby rural site and coupled to radiation and building energy models. VCWG is evaluated against field observations of the BUBBLE campaign. It is run under exploration mode to assess its performance given urban characteristics, seasonal variations, and climate zones.
The Vertical City Weather Generator (VCWG) is an urban microclimate model developed to predict...
