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Building simulation climate data for 564 reference locations in Canada

Building simulation climate data for 564 reference locations in Canada
Alternative titleDonnées climatiques de simulation pour les bâtiments pour 564 emplacements de référence au Canada
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DOIResolve DOI: https://doi.org/10.4224/40004058
CreatorSearch for: Gaur, Abhishek1ORCID identifier: https://orcid.org/0000-0002-0141-6054; Search for: Lacasse, Michael1ORCID identifier: https://orcid.org/0000-0001-7640-3701
Affiliation
  1. National Research Council Canada. Construction
FunderSearch for: National Research Council Canada
FormatText, Dataset
Physical description4,512 files – approximately 368 GB total size. 13 aggregate files.
Date coverage1991/2094
Subjectbuilding simulations; climate data; climate change; building performance; buildings; performance assessment; climatology; meteorology; building structure; Canada
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.
Date published
PublisherNational Research Council Canada
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Related publication
  • Gaur, Abhishek, and Michael Lacasse. ‘Climate Data to Support the Adaptation of Buildings to Climate Change in Canada’. Data 7, no. 4 (6 April 2022): 42. https://doi.org/10.3390/data7040042.
LanguageEnglish
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CollectionNRC Research Data
Record identifierbd339698-5eb8-4635-b411-63d4f670382b
Record created2022-05-30
Record modified2026-06-15

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