Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
Journal topic

Journal metrics

Journal metrics

  • IF value: 5.154 IF 5.154
  • IF 5-year value: 5.697 IF 5-year
    5.697
  • CiteScore value: 5.56 CiteScore
    5.56
  • SNIP value: 1.761 SNIP 1.761
  • IPP value: 5.30 IPP 5.30
  • SJR value: 3.164 SJR 3.164
  • Scimago H <br class='hide-on-tablet hide-on-mobile'>index value: 59 Scimago H
    index 59
  • h5-index value: 49 h5-index 49
Discussion papers
https://doi.org/10.5194/gmd-2019-176
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-2019-176
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Submitted as: model description paper 27 Aug 2019

Submitted as: model description paper | 27 Aug 2019

Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).

The Vertical City Weather Generator (VCWG v1.0.0)

Mohsen Moradi1, Benjamin Dyer2, Amir Nazem1, Manoj K. Nambiar1, M. Rafsan Nahian1, Bruno Bueno5, Chris Mackey7, Saeran Vasanthakumar8, Negin Nazarian3, E. Scott Krayenhoff4, Leslie K. Norford6, and Amir A. Aliabadi1 Mohsen Moradi et al.
  • 1School of Engineering, University of Guelph, Guelph, Canada
  • 2Department of Physics and Astronomy, McMaster University, Hamilton, Canada
  • 3Built Environment, University of New South Wales, Sydney, Australia
  • 4School of Environmental Sciences, University of Guelph, Guelph, Canada
  • 5Fraunhofer Institute for Solar Energy Systems ISE, Freiburg, Germany
  • 6Department of Architecture, Massachusetts Institute of Technology, Cambridge, USA
  • 7Ladybug Tools LLC, Boston, USA
  • 8Kieran Timberlake Research Group, Philadelphia, USA

Abstract. The Vertical City Weather Generator (VCWG) is a computationally efficient urban microclimate model developed to predict temporal and vertical variation of temperature, wind speed, and specific humidity. It is composed of various sub models: a rural model, an urban microclimate model, and a building energy model. In a nearby rural site, a rural model is forced with weather data to solve a vertical diffusion equation to calculate vertical potential temperature profiles using a novel parameterization. The rural model also calculates a horizontal pressure gradient. The rural model outputs are then forced on a vertical diffusion urban microclimate model that solves vertical transport equations for momentum, temperature, and specific humidity. The urban microclimate model is also coupled to a building energy model using feedback interaction. The aerodynamic and thermal effects of urban elements and vegetation are considered in VCWG. To evaluate the VCWG model, a microclimate field campaign was held in Guelph, Canada, from 15 July 2018 to 5 September 2018. The meteorological measurements were carried out under a comprehensive set of wind directions, wind speeds, and thermal stability conditions in both the rural and the nearby urban areas. The model evaluation indicated that the VCWG predicted vertical profiles of meteorological variables in reasonable agreement with field measurements for selected days. In comparison to measurements, the overall model biases for potential temperature, wind speed, and specific humidity were within 5 %, 11 %, and 7 %, respectively. The performance of the model was further explored to investigate the effects of urban configurations such as plan and frontal area densities, varying levels of vegetation, seasonal variations, different climate zones, and time series analysis on the model predictions. The results obtained from the explorations were reasonably consistent with previous studies in the literature, justifying the reliability and computational efficiency of VCWG for operational urban development projects.

Mohsen Moradi et al.
Interactive discussion
Status: open (until 28 Oct 2019)
Status: open (until 28 Oct 2019)
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
[Subscribe to comment alert] Printer-friendly Version - Printer-friendly version Supplement - Supplement
Mohsen Moradi et al.
Mohsen Moradi et al.
Viewed  
Total article views: 196 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
147 48 1 196 4 1
  • HTML: 147
  • PDF: 48
  • XML: 1
  • Total: 196
  • BibTeX: 4
  • EndNote: 1
Views and downloads (calculated since 27 Aug 2019)
Cumulative views and downloads (calculated since 27 Aug 2019)
Viewed (geographical distribution)  
Total article views: 107 (including HTML, PDF, and XML) Thereof 107 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Cited  
Saved  
No saved metrics found.
Discussed  
No discussed metrics found.
Latest update: 21 Sep 2019
Publications Copernicus
Download
Short summary
The Vertical City Weather Generator (VCWG) is an urban microclimate model developed to predict temporal and vertical variation of temperature, wind speed, and specific humidity. VCWG is forced by climate variables at a nearby rural site and is coupled to a building energy model. VCWG is evaluated against field observations in Guelph, Canada, during Summer 2018. It is also 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...
Citation