Boundary-Layer Meteorology

, Volume 142, Issue 1, pp 149–175 | Cite as

Simulating Australian Urban Climate in a Mesoscale Atmospheric Numerical Model

  • Marcus Thatcher
  • Peter Hurley


We develop an urban canopy scheme coupled to a mesoscale atmospheric numerical model and evaluate the simulated climate of an Australian city. The urban canopy scheme is based on the Town Energy Budget approach, but is modified to efficiently represent the predominately suburban component of Australian cities in regional climate simulations. Energy conservation is improved by adding a simple model of air-conditioning to prevent the urban parametrization acting as an energy sink during the Australian summer. In-canyon vegetation for suburban areas is represented by a big-leaf model, but with a largely reduced set of prognostic variables compared to previous approaches. Although we have used a recirculation/venting based parametrization of in-canyon turbulent heat fluxes that employs two canyon wall energy budgets, we avoid using a fixed canyon orientation by averaging the canyon fluxes after integrating over 180° of possible canyon orientations. The urban canopy scheme is evaluated by simulating the climate for Melbourne, Australia after coupling it to The Air Pollution Model. The combined system was found to predict a realistic climatology of air temperatures and winds when compared with observations from Environmental Protection Authority monitoring stations. The model also produced a plausible partitioning of the urban energy budget when compared to urban flux-tower studies. Overall, the urban canyon parametrization appears to have reasonable potential for studying present and predicting changes in future Australian urban climates in regional climate simulations.


Mesoscale environmental modelling Surface energy balance Urban canopy model 


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  1. Coutts A, Beringer J, Tapper N (2007) Impact of increasing urban density on local climate: Spatial and temporal variations in the surface energy balance in Melbourne, Australia. J Appl Meteorol 46: 477–493CrossRefGoogle Scholar
  2. Davies H (1976) A lateral boundary formulation for multi-level prediction models. Q J Roy Meteorol Soc 102: 405–418Google Scholar
  3. Douville H, Royer JF, Mahfouf JF (1995) A new snow parameterization for the meteo-france climate model—part I: validation in stand-alone experiments. Clim Dyn 12: 21–35CrossRefGoogle Scholar
  4. Dyer A, Hicks B (1970) Flux–gradient relationships in the constant flux layer. Q J Roy Meteorol Soc 96: 715–721CrossRefGoogle Scholar
  5. Fortuniak K (2008) Numerical estimation of the effective albedo of an urban canyon. Theor Appl Climatol 91: 245–258CrossRefGoogle Scholar
  6. Harman I, Belcher S (2006) The surface energy balance and boundary layer over urban street canyons. Q J Roy Meteorol Soc 132: 2749–2768CrossRefGoogle Scholar
  7. Harman I, Barlow J, Belcher S (2004a) Scalar fluxes from urban street canyons. Part II: model. Boundary-Layer Meteorol 113: 387–409CrossRefGoogle Scholar
  8. Harman IN, Best MJ, Belcher SE (2004b) Radiative exchange in an urban street canyon. Boundary-Layer Meteorol 110: 301–316CrossRefGoogle Scholar
  9. Hurley P (2007) Modelling mean and turbulence fields in the dry convective boundary layer with the eddy-diffusivity/mass-flux approach. Boundary-Layer Meteorol 125: 525–526CrossRefGoogle Scholar
  10. Hurley P, Luhar A (2009) Modelling the meteorology at the Cabauw Tower for 2005. Boundary-Layer Meteorol 132: 43–57CrossRefGoogle Scholar
  11. Hurley P, Physick W, Luhar A (2005) TAPM—a practical approach to prognostic meteorological and air pollution modelling. Environ Model Softw 20: 737–752CrossRefGoogle Scholar
  12. Jacob DJ, Winner DA (2009) Effect of climate change on air quality. Atmos Environ 43: 51–63CrossRefGoogle Scholar
  13. Kanda M, Kawai T, Kanega M, Moriwaki R, Narita K, Hagishima A (2005) A simple energy balance model for regular building arrays. Boundary-Layer Meteorol 116: 423–443CrossRefGoogle Scholar
  14. Kanda M, Kanega M, Kawai T, Moriwaki R (2007) Roughness lengths for momentum and heat derived from outdoor urban scale models. J Appl Meteorol 46: 1067–1079CrossRefGoogle Scholar
  15. Kowalczyk EA, Garratt JR, Krummel PB (1994) Implementation of a soil-canopy scheme into the CSIRO GCM—regional aspects of the model response. CSIRO Division of Atmospheric Research Technical Paper 32, 65 ppGoogle Scholar
  16. Kusaka H, Kondo H, Kikegawa Y, Kimura F (2001) A simple single-layer urban canopy model for atmospheric models: comparison with multi-layer and slab models. Boundary-Layer Meteorol 101: 329–358CrossRefGoogle Scholar
  17. Lee SH, Park SU (2008) A vegetated urban canopy model for meteorological and environmental modelling. Boundary-Layer Meteorol 126: 73–102CrossRefGoogle Scholar
  18. Martilli A, Clappier A, Rotach M (2002) An urban surface exchange parameterisation for mesoscale models. Boundary-Layer Meteorol 104: 261–304CrossRefGoogle Scholar
  19. Masson V (2000) A physically-based scheme for the urban energy budget in atmospheric models. Boundary-Layer Meteorol 94: 357–397CrossRefGoogle Scholar
  20. Masson V, Champeaux JL, Chauvin F, Meriguet C, Lacaze R (2003) A global database of land surface parameters at 1-km resolution in meteorological and climate models. J Clim 16: 1261–1282CrossRefGoogle Scholar
  21. Noilhan J (1981) A model for the net total radiation flux at the surface of a building. Build Environ 16: 259–266CrossRefGoogle Scholar
  22. Ohashi Y, Genchi Y, Kondo H, Kikegawa Y, Yoshikado H, Hirano Y (2007) Influence of air-conditioning waste heat on air temperature in Tokyo during summer: numerical experiments using an urban canopy model coupled with a building energy model. J Appl Meteorol 46: 66–81CrossRefGoogle Scholar
  23. Oke TR (1988) The urban energy balance. Prog Phys Geogr 12: 471–508CrossRefGoogle Scholar
  24. Sailor DJ (2001) Relating residential and commercial sector electricity loads to climate-evaluating state level sensitivities and vulnerabilities. Energy 26: 645–657CrossRefGoogle Scholar
  25. Voogt J, Grimmond C (2000) Modelling surface sensible heat flux using surface radiative temperatures in a simple urban area. J Appl Meteorol 39: 1679–1699CrossRefGoogle Scholar

Copyright information

© Springer Science+Business Media B.V. 2011

Authors and Affiliations

  1. 1.CSIRO Marine and Atmospheric ResearchAspendaleAustralia

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