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

Abstract

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 (https://doi.org/10.5281/zenodo.5606983; (Doutreloup, S. and Fettweis X., 2021).