Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves
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 irradian...
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Nature Portfolio
2024-05-01
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| Series: | Scientific Data |
| Online Access: | https://doi.org/10.1038/s41597-024-03319-8 |
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| author | 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 Marcelo 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 |
| author_facet | 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 Marcelo 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 |
| author_sort | Anaïs Machard |
| collection | DOAJ |
| description | 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. |
| format | Article |
| id | doaj-art-1542278a14f544229436ea7bc08fca42 |
| institution | Kabale University |
| issn | 2052-4463 |
| language | English |
| publishDate | 2024-05-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Data |
| spelling | doaj-art-1542278a14f544229436ea7bc08fca422025-01-19T12:09:34ZengNature PortfolioScientific Data2052-44632024-05-0111112110.1038/s41597-024-03319-8Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwavesAnaïs Machard0Agnese Salvati1Mamak P. Tootkaboni2Abhishek Gaur3Jiwei Zou4Liangzhu Leon Wang5Fuad Baba6Hua Ge7Facundo Bre8Emmanuel Bozonnet9Vincenzo Corrado10Xuan Luo11Ronnen Levinson12Sang Hoon Lee13Tianzhen Hong14Marcelo Salles Olinger15Rayner Maurício e Silva Machado16Emeli Lalesca Aparecida da Guarda17Rodolfo Kirch Veiga18Roberto Lamberts19Afshin Afshari20Delphine Ramon21Hoang Ngoc Dung Ngo22Abantika Sengupta23Hilde Breesch24Nicolas Heijmans25Jade Deltour26Xavier Kuborn27Sana Sayadi28Bin Qian29Chen Zhang30Ramin Rahif31Shady Attia32Philipp Stern33Peter Holzer34Scientific and Technical Building Research Centre (CSTB), Energy and Environment DepartmentArchitecture, Energy & Environment (AiE), Polytechnic University of CataloniaDepartment of Energy, Politecnico di TorinoNational Research Council CanadaCentre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia UniversityCentre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia UniversityCentre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia UniversityCentre for Zero Energy Building Studies, Department of Building, Civil and Environmental Engineering, Concordia UniversityInstitute of Construction and Building Materials, Technical University of DarmstadtLaboratory of Engineering Sciences for the Environment (LaSIE), La Rochelle UniversityDepartment of Energy, Politecnico di TorinoLawrence Berkeley National Laboratory (LBNL)Lawrence Berkeley National Laboratory (LBNL)Lawrence Berkeley National Laboratory (LBNL)Lawrence Berkeley National Laboratory (LBNL)Laboratory for Energy Efficiency in Buildings, Federal University of Santa CatarinaLaboratory for Energy Efficiency in Buildings, Federal University of Santa CatarinaLaboratory for Energy Efficiency in Buildings, Federal University of Santa CatarinaLaboratory for Energy Efficiency in Buildings, Federal University of Santa CatarinaLaboratory for Energy Efficiency in Buildings, Federal University of Santa CatarinaFraunhofer Institute for Building Physics IBPDepartment of Architecture, Faculty of Engineering ScienceBuilding Physics and Sustainable Design, Department of Civil EngineeringBuilding Physics and Sustainable Design, Department of Civil EngineeringBuilding Physics and Sustainable Design, Department of Civil EngineeringBuildwiseBuildwiseBuildwiseUniversity of GävleDepartment of the Built Environment, Aalborg UniversityDepartment of the Built Environment, Aalborg UniversitySustainable Building Design Lab, Department UEE, Faculty of Applied Sciences, Université de LiègeSustainable Building Design Lab, Department UEE, Faculty of Applied Sciences, Université de LiègeInstitute of Building Research and Innovation (IBR&I)Institute of Building Research and Innovation (IBR&I)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.https://doi.org/10.1038/s41597-024-03319-8 |
| spellingShingle | 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 Marcelo 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 Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves Scientific Data |
| title | Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves |
| title_full | Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves |
| title_fullStr | Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves |
| title_full_unstemmed | Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves |
| title_short | Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves |
| title_sort | typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves |
| url | https://doi.org/10.1038/s41597-024-03319-8 |
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