Editorial Type:
Article
Article Type:
Research Article

Microscale Numerical Prediction over Montreal with the Canadian External Urban Modeling System

Sylvie Leroyer Meteorological Research Division, Environment Canada, Dorval, Canada

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Stéphane Bélair Meteorological Research Division, Environment Canada, Dorval, Canada

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Jocelyn Mailhot Meteorological Research Division, Environment Canada, Dorval, Canada

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Ian B. Strachan Department of Natural Resource Sciences, McGill University, Sainte-Anne-de-Bellevue, Canada

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Print Publication:
01 Dec 2011
DOI:
https://doi.org/10.1175/JAMC-D-11-013.1
Page(s):
2410–2428
Restricted access

Abstract

The Canadian urban and land surface external modeling system (known as urban GEM-SURF) has been developed to provide surface and near-surface meteorological variables to improve numerical weather prediction and to become a tool for environmental applications. The system is based on the Town Energy Balance model for the built-up covers and on the Interactions between the Surface, Biosphere, and Atmosphere land surface model for the natural covers. It is driven by coarse-resolution forecasts from the 15-km Canadian regional operational model. This new system was tested for a 120-m grid-size computational domain covering the Montreal metropolitan region from 1 May to 30 September 2008. The numerical results were first evaluated against local observations of the surface energy budgets, air temperature, and humidity taken at the Environmental Prediction in Canadian Cities (EPiCC) field experiment tower sites. As compared with the regional deterministic 15-km model, important improvements have been achieved with this system over urban and suburban sites. GEM-SURF’s ability to simulate the Montreal surface urban heat island was also investigated, and the radiative surface temperatures from this system and from two systems operational at the Meteorological Service of Canada were compared, that is, the 15-km regional deterministic model and the so-called limited-area model with 2.5-km grid size. Comparison of urban GEM-SURF outputs with remotely sensed observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) reveals relatively good agreement for urban and natural areas.

Corresponding author address: Dr. Sylvie Leroyer, Meteorological Research Division, Environment Canada, 2121 Trans-Canada Highway, Dorval QC H9P1J3, Canada. E-mail: sylvie.leroyer@ec.gc.ca

Abstract

The Canadian urban and land surface external modeling system (known as urban GEM-SURF) has been developed to provide surface and near-surface meteorological variables to improve numerical weather prediction and to become a tool for environmental applications. The system is based on the Town Energy Balance model for the built-up covers and on the Interactions between the Surface, Biosphere, and Atmosphere land surface model for the natural covers. It is driven by coarse-resolution forecasts from the 15-km Canadian regional operational model. This new system was tested for a 120-m grid-size computational domain covering the Montreal metropolitan region from 1 May to 30 September 2008. The numerical results were first evaluated against local observations of the surface energy budgets, air temperature, and humidity taken at the Environmental Prediction in Canadian Cities (EPiCC) field experiment tower sites. As compared with the regional deterministic 15-km model, important improvements have been achieved with this system over urban and suburban sites. GEM-SURF’s ability to simulate the Montreal surface urban heat island was also investigated, and the radiative surface temperatures from this system and from two systems operational at the Meteorological Service of Canada were compared, that is, the 15-km regional deterministic model and the so-called limited-area model with 2.5-km grid size. Comparison of urban GEM-SURF outputs with remotely sensed observations from the Moderate Resolution Imaging Spectroradiometer (MODIS) reveals relatively good agreement for urban and natural areas.

Corresponding author address: Dr. Sylvie Leroyer, Meteorological Research Division, Environment Canada, 2121 Trans-Canada Highway, Dorval QC H9P1J3, Canada. E-mail: sylvie.leroyer@ec.gc.ca
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