Abstract. Increasing temperatures due to global warming will influence
building, heating, and cooling practices. Therefore, this data set aims to
provide formatted and adapted meteorological data for specific users who
work in building design, architecture, building energy management
systems, modelling renewable energy conversion systems, or others
interested in this kind of projected weather data. These meteorological data
are produced from the regional climate model MAR (Modèle
Atmosphérique Régional in French) 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 three Earth system models (ESMs) from
the Sixth Coupled Model Intercomparison Project database, namely,
BCC-CSM2-MR, MPI-ESM.1.2, and MIROC6. The main advantage of using the MAR
model is that the generated weather data have a high resolution (hourly data
and 5 km) and are spatially and temporally homogeneous. The generated weather
data follow two protocols. On the one hand, the Typical Meteorological Year
(TMY) and eXtreme Meteorological Year (XMY) files are generated largely
inspired by 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 heatwave
event (HWE) meteorological data are generated according to a method 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
online repository Zenodo (https://doi.org/10.5281/zenodo.5606983,
Doutreloup and Fettweis, 2021) and these data are produced within
the framework of the research project OCCuPANt
(https://www.occupant.uliege.be/ (last access: 24 June 2022) – ULiège).