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. 2024 May 23;11(1):531.
doi: 10.1038/s41597-024-03319-8.

Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves

Anaïs Machard  1   2 , Agnese Salvati  3   4 , Mamak P Tootkaboni  5 , Abhishek Gaur  6 , Jiwei Zou  7 , Liangzhu Leon Wang  7 , Fuad Baba  7   8 , Hua Ge  7 , Facundo Bre  9   10 , Emmanuel Bozonnet  11 , Vincenzo Corrado  5 , Xuan Luo  12 , Ronnen Levinson  12 , Sang Hoon Lee  12 , Tianzhen Hong  12 , Marcelo Salles Olinger  13 , Rayner Maurício E Silva Machado  13 , Emeli Lalesca Aparecida da Guarda  13 , Rodolfo Kirch Veiga  13 , Roberto Lamberts  13 , Afshin Afshari  14 , Delphine Ramon  15 , Hoang Ngoc Dung Ngo  16   17 , Abantika Sengupta  16 , Hilde Breesch  16 , Nicolas Heijmans  18 , Jade Deltour  18 , Xavier Kuborn  18 , Sana Sayadi  19 , Bin Qian  20   21 , Chen Zhang  20 , Ramin Rahif  22 , Shady Attia  22 , Philipp Stern  23 , Peter Holzer  23
Affiliations

Typical and extreme weather datasets for studying the resilience of buildings to climate change and heatwaves

Anaïs Machard et al. Sci Data. .

Erratum in

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.

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Conflict of interest statement

The authors declare no competing interests.

Figures

Fig. 1
Fig. 1
15 locations selected and ASHRAE 169–2013 climate classification.
Fig. 2
Fig. 2
Methodology used for the weather datasets generation.
Fig. 3
Fig. 3
Selection of the climate model to generate future weather datasets – Position of the temperature projection from HadGEM2-ES, MPI-ESM-LR, and NorESM1-M in comparison with other model climate projections. Modified from: Flato, Gregory, et al. ‘Evaluation of climate models.’ Climate change 2013.
Fig. 4
Fig. 4
Probability density functions of temperature, wind speed, and relative humidity in Singapore, London, and Toronto from observations (grey), raw RCM (blue), and bias-corrected RCM (red) datasets over the validation time period.
Fig. 5
Fig. 5
Changes in climatic variables from the 2010s to 2050 s and 2090 s: (a) absolute change for temperature, (b) relative change in wind speed, (c) absolute change in solar radiation, (d) absolute change in relative humidity.
Fig. 6
Fig. 6
Heatwaves in Los Angeles (CZ 3B): (a) All heatwaves detected and (b) extreme heatwaves selection.
Fig. 7
Fig. 7
Characteristics (intensity, severity, and duration) of the most intense and longest XTRM-HW: (a) intensity of the most intense HW, (b) intensity of the longest HW, (c) severity of the most intense HW, (d) severity of the longest HW, (e) duration of the most intense HW, (f) duration of the longest HW.
Fig. 8
Fig. 8
Effect of future TMYs on energy use (A) and summer thermal discomfort (B) in an air-conditioned single-family home in Los Angeles (Lee and Levinson).
Fig. 9
Fig. 9
(a) Impact of future TMYs and (b) Impact of future HWYs on summer thermal discomfort from Sengupta et al..
See this image and copyright information in PMC

References

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