15 Feb 2022
15 Feb 2022
Status: this preprint is currently under review for the journal ESSD.

Historical and Future Weather Data for Dynamic Building Simulations in Belgium using the MAR model: Typical & Extreme Meteorological Year and Heatwaves

Sebastien Doutreloup1, Xavier Fettweis1, Ramin Rahif2, Essam A. Elnagar3, Mohsen S. Pourkiaei4, Deepak Amaripadath2, and Shady Attia2 Sebastien Doutreloup et al.
  • 1Laboratory of Climatology and Topoclimatology, Department de Geography, UR SPHERES, University of Liège, Belgium
  • 2Sustainable Building Design Lab, Dept. UEE, Faculty of Applied Sciences, University of Liege, Belgium
  • 3Thermodynamics Laboratory, Aerospace and Mechanical Engineering Department, Faculty of Applied Sciences, University of Liège, Belgium
  • 4Atmospheres and Monitoring lab (SAM), UR Spheres, University of Liege, Arlon Campus Environment, Avenue de Longwy 185, 6700 Arlon, Belgium

Abstract. Increasing temperature due to global warming will influence building, heating and cooling practices. Therefore this dataset aims to provide formatted and adapted meteorological data for specific users who work in building designing, architecture, building energy management systems, modeling renewable energy conversion systems, or other people interested in this kind of projected weather data. These meteorological data are produced from the regional climate MAR model simulations. This regional model adapted and validated over Belgium is forced firstly by the ERA5 reanalysis which represents the closest climate to reality, and secondly by 3 ESMs from the CMIP6 database, namely BCC-CSM2-MR, MPIESM.1.2, and MIROC6. The main advantage of using the MAR model is that the generated weather data have a high resolution and are spatially and temporally homogeneous. The generated weather data follow two protocols. On one hand, the Typical Meteorological Year (TMY) and eXtreme Meteorological Year (XMY) files are generated following the method proposed by the standard ISO15927-4, allowing the reconstruction of typical and extreme years while keeping a plausible variability of the meteorological data. On the other hand, the HeatWaves Event (HWE) meteorological data are generated according to the method proposed by Ouzeau et al. (2016) used to detect the heatwave events and to classify them according to three criteria of the heatwave (the most intense, the longest duration and the highest temperature). All generated weather data are freely available on the open-access repository Zenodo (; (Doutreloup, S. and Fettweis X., 2021).

Sebastien Doutreloup et al.

Status: final response (author comments only)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • CC1: 'Comment on essd-2021-401', Nicolas Heijmans, 17 Feb 2022
  • CC2: 'Comment on essd-2021-401', Nicolas Heijmans, 17 Feb 2022
  • CC3: 'Minor comment on essd-2021-401', Nicolas Heijmans, 17 Feb 2022
  • RC1: 'Comment on essd-2021-401', Anonymous Referee #1, 29 Mar 2022
  • RC2: 'Comment on essd-2021-401', Anonymous Referee #2, 04 Apr 2022
  • AC1: 'Comment on essd-2021-401', Sébastien Doutreloup, 16 May 2022

Sebastien Doutreloup et al.

Data sets

Typical & Extreme Meteorological Year and Heatwaves for Dynamic Building Simulations in Belgium based on MAR model Simulations Doutreloup S. and Fettweis X.

Sebastien Doutreloup et al.


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Short summary
This dataset provides Historical (1980–2014) and Future (2015–2100) Weather Data for 12 cities in Belgium. This dataset is intended for architects or Building or energy designers. In particular, it makes available to all users hourly open-access weather data according to certain standards to recreate Typical & Extreme Meteorological Year. In addition, it provides hourly data on Heatwaves from 1980 to 2100. Weather data were produced from the outputs of the MAR model simulations.