| Abstract | Climate change in the future will continue to bring about unprecedented climate and climate extremes, and buildings and infrastructure will be exposed to such conditions. To ensure that new and existing buildings deliver satisfactory performance over their design lives, their performance under current and future projected climates needs to be assessed by undertaking building simulations.
Here, climate data important for building simulations has been prepared for 564 Canadian locations by bias correcting the Canadian Regional Climate Model version 4 (CanRCM4) large ensemble (LE) simulations with reference to observations. Technical validation results show that bias-correction effectively reduces the bias associated with CanRCM4-LE simulations in terms of their marginal distributions, and inter-relationship between climate variables. As a consequence of global warming, the mean global solar irradiance, averaged across all locations, is projected to decrease by 1-10 kJ/m2, annual rainfall is expected to increase by 13-73 mm, mean temperature is expected to increase by 1-5ºC, atmospheric pressure is expected to increase by 7-64 Pa, and total number of days in a year with snow are expected to decrease by 2-22 days under a global warming of 0.5-3.5 ºC.
The climate files generated are for a historical time-period (1991-2021) and future time-periods commensurate with 0.5 ºC, 1.0 ºC, 1.5 ºC, 2.0 ºC, 2.5 ºC, 3.0 ºC, and 3.5 ºC global warming from the historical time-period. |
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