Language selection

Government of Canada / Gouvernement du Canada

Search

Building simulation climate data for 564 reference locations in Canada

From National Research Council 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
Downloads
View downloads (17)
FileFormatSizeLast Updated
ZIP67 GB2022-05-30
ZIP49 GB2022-05-30
ZIP25 GB2022-05-30
ZIP8 GB2022-05-30
ZIP18 GB2022-05-30
ZIP19 GB2022-05-30
ZIP20 GB2022-05-30
ZIP23 GB2022-05-30
ZIP40 GB2022-05-30
ZIP4 GB2022-05-30
ZIP53 GB2022-05-30
ZIP29 GB2022-05-30
ZIP8 GB2022-05-30
XLSX136 KB2022-06-01
CSV639 KB2022-06-01
PDF525 KB2022-10-31
PDF521 KB2022-10-31
  • Direct download links for all individual datafiles are available in the full list of stations.
CreatorSearch for: Gaur, Abhishek1ORCID identifier: https://orcid.org/0000-0002-0141-6054; Search for: Lacasse, Michael1ORCID identifier: https://orcid.org/0000-0001-7640-3701
Name affiliation
  1. National Research Council of Canada. Construction
FunderSearch for: National Research Council of Canada
FormatText, Dataset
Physical description4,512 files – approximately 368 GB total size. 13 aggregate files.
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.
Publication date
PublisherNational Research Council of Canada
Licence
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
Export citationExport as RIS
CollectionNRC Research Data
Record identifierbd339698-5eb8-4635-b411-63d4f670382b
Record created2022-05-30
Record modified2022-10-31
Report a problem on this page
Date modified: