Scientific Data (May 2024)
Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves
- Anaïs Machard,
- Agnese Salvati,
- Mamak P. Tootkaboni,
- Abhishek Gaur,
- Jiwei Zou,
- Liangzhu Leon Wang,
- Fuad Baba,
- Hua Ge,
- Facundo Bre,
- Emmanuel Bozonnet,
- Vincenzo Corrado,
- Xuan Luo,
- Ronnen Levinson,
- Sang Hoon Lee,
- Tianzhen Hong,
- Marcello Salles Olinger,
- Rayner Maurício e Silva Machado,
- Emeli Lalesca Aparecida da Guarda,
- Rodolfo Kirch Veiga,
- Roberto Lamberts,
- Afshin Afshari,
- Delphine Ramon,
- Hoang Ngoc Dung Ngo,
- Abantika Sengupta,
- Hilde Breesch,
- Nicolas Heijmans,
- Jade Deltour,
- Xavier Kuborn,
- Sana Sayadi,
- Bin Qian,
- Chen Zhang,
- Ramin Rahif,
- Shady Attia,
- Philipp Stern,
- Peter Holzer
Affiliations
- Anaïs Machard
- Scientific and Technical Building Research Centre (CSTB), Energy and Environment Department
- Agnese Salvati
- Architecture, Energy & Environment (AiE), Polytechnic University of Catalonia
- Mamak P. Tootkaboni
- Department of Energy, Politecnico di Torino
- Abhishek Gaur
- National Research Council Canada
- Jiwei Zou
- Centre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia University
- Liangzhu Leon Wang
- Centre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia University
- Fuad Baba
- Centre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia University
- Hua Ge
- Centre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia University
- Facundo Bre
- Institute of Construction and Building Materials, Technical University of Darmstadt
- Emmanuel Bozonnet
- Laboratory of Engineering Sciences for the Environment (LaSIE), La Rochelle University
- Vincenzo Corrado
- Department of Energy, Politecnico di Torino
- Xuan Luo
- Lawrence Berkeley National Laboratory (LBNL)
- Ronnen Levinson
- Lawrence Berkeley National Laboratory (LBNL)
- Sang Hoon Lee
- Lawrence Berkeley National Laboratory (LBNL)
- Tianzhen Hong
- Lawrence Berkeley National Laboratory (LBNL)
- Marcello Salles Olinger
- Laboratory for Energy Efficiency in Buildings, Federal University of Santa Catarina
- Rayner Maurício e Silva Machado
- Laboratory for Energy Efficiency in Buildings, Federal University of Santa Catarina
- Emeli Lalesca Aparecida da Guarda
- Laboratory for Energy Efficiency in Buildings, Federal University of Santa Catarina
- Rodolfo Kirch Veiga
- Laboratory for Energy Efficiency in Buildings, Federal University of Santa Catarina
- Roberto Lamberts
- Laboratory for Energy Efficiency in Buildings, Federal University of Santa Catarina
- Afshin Afshari
- Fraunhofer Institute for Building Physics IBP
- Delphine Ramon
- Department of Architecture, Faculty of Engineering Science
- Hoang Ngoc Dung Ngo
- Building Physics and Sustainable Design, Department of Civil Engineering
- Abantika Sengupta
- Building Physics and Sustainable Design, Department of Civil Engineering
- Hilde Breesch
- Building Physics and Sustainable Design, Department of Civil Engineering
- Nicolas Heijmans
- Buildwise
- Jade Deltour
- Buildwise
- Xavier Kuborn
- Buildwise
- Sana Sayadi
- University of Gävle
- Bin Qian
- Department of the Built Environment, Aalborg University
- Chen Zhang
- Department of the Built Environment, Aalborg University
- Ramin Rahif
- Sustainable Building Design Lab, Department UEE, Faculty of Applied Sciences, Université de Liège
- Shady Attia
- Sustainable Building Design Lab, Department UEE, Faculty of Applied Sciences, Université de Liège
- Philipp Stern
- Institute of Building Research and Innovation (IBR&I)
- Peter Holzer
- Institute of Building Research and Innovation (IBR&I)
- DOI
- https://doi.org/10.1038/s41597-024-03319-8
- Journal volume & issue
-
Vol. 11,
no. 1
pp. 1 – 21
Abstract
Abstract We present unprecedented datasets of current and future projected weather files for building simulations in 15 major cities distributed across 10 climate zones worldwide. The datasets include ambient air temperature, relative humidity, atmospheric pressure, direct and diffuse solar irradiance, and wind speed at hourly resolution, which are essential climate elements needed to undertake building simulations. The datasets contain typical and extreme weather years in the EnergyPlus weather file (EPW) format and multiyear projections in comma-separated value (CSV) format for three periods: historical (2001–2020), future mid-term (2041–2060), and future long-term (2081–2100). The datasets were generated from projections of one regional climate model, which were bias-corrected using multiyear observational data for each city. The methodology used makes the datasets among the first to incorporate complex changes in the future climate for the frequency, duration, and magnitude of extreme temperatures. These datasets, created within the IEA EBC Annex 80 “Resilient Cooling for Buildings”, are ready to be used for different types of building adaptation and resilience studies to climate change and heatwaves.
