EGU General Assembly 2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.

Assessment of infrastructure-based reductions of future heat wave intensity with advanced mesoscale modelling

E. Scott Krayenhoff1, Timothy Jiang1, Alberto Martilli2, Christian Moede3, and Matthias Demuzere3
E. Scott Krayenhoff et al.
  • 1School of Environmental Sciences, University of Guelph, Guelph, Canada (
  • 2Atmospheric Pollution Division, Department of Environment, CIEMAT, Madrid, Spain
  • 3Urban Climatology Group, Department of Geography, Ruhr-University Bochum, Bochum, Germany

Future urban climates are likely to warm substantively in coming decades as a result of climate change, and greater heat wave severity is anticipated. Moreover, the urban heat island contributes additional heat, especially during evening and night. Infrastructure-based heat reduction strategies can reduce canopy air temperatures during daytime, and to some extent at night. These strategies also have several additional effects beyond air temperature reduction. Here, we apply an early coupling of the WRF mesoscale model with the BEP-Tree urban canopy model to simulate extreme heat events representative of both contemporary and projected future climates for the metropolitan region of Toronto, Canada. Urban and non-urban land cover is derived using the state-of-the-art LCZ Generator methodology. Subsequently, the effectiveness of heat mitigation strategies, including highly reflective surfaces and vegetation, is quantified for the future scenario in the context of the increase in heat wave intensity. Specifically, the neighbourhood- and city-scale climate impacts of street trees across the diurnal cycle are quantified, and the diurnal progression of their local climate effects is discussed with reference to their modifications to multiple physical processes in the canopy. Effects of all heat mitigation strategies on canopy climate, building energy use, and thermal comfort indices are evaluated.

How to cite: Krayenhoff, E. S., Jiang, T., Martilli, A., Moede, C., and Demuzere, M.: Assessment of infrastructure-based reductions of future heat wave intensity with advanced mesoscale modelling, EGU General Assembly 2022, Vienna, Austria, 23–27 May 2022, EGU22-8744,, 2022.