Article (Scientific journals)
Historical and future weather data for dynamic building simulations in Belgium using the regional climate model MAR: typical and extreme meteorological year and heatwaves
Doutreloup, Sébastien; Fettweis, Xavier; Rahif, Ramin et al.
2022In Earth System Science Data, 14 (7), p. 3039-3051
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Keywords :
General Earth and Planetary Sciences
Abstract :
[en] 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).
Research center :
SPHERES - ULiège
Disciplines :
Earth sciences & physical geography
Author, co-author :
Doutreloup, Sébastien  ;  Université de Liège - ULiège > Sphères
Fettweis, Xavier  ;  Université de Liège - ULiège > Sphères
Rahif, Ramin  ;  Université de Liège - ULiège > Urban and Environmental Engineering
El Nagar, Essam  ;  Université de Liège - ULiège > Département d'aérospatiale et mécanique > Systèmes énergétiques
Pourkiaei, Seyed Mohsen ;  Université de Liège - ULiège > Sphères
Amaripadath, Deepak  ;  Université de Liège - ULiège > Urban and Environmental Engineering
Attia, Shady  ;  Université de Liège - ULiège > Urban and Environmental Engineering
Language :
English
Title :
Historical and future weather data for dynamic building simulations in Belgium using the regional climate model MAR: typical and extreme meteorological year and heatwaves
Publication date :
06 July 2022
Journal title :
Earth System Science Data
ISSN :
1866-3508
eISSN :
1866-3516
Publisher :
Copernicus GmbH
Volume :
14
Issue :
7
Pages :
3039-3051
Peer reviewed :
Peer Reviewed verified by ORBi
Tags :
CÉCI : Consortium des Équipements de Calcul Intensif
Development Goals :
7. Affordable and clean energy
11. Sustainable cities and communities
13. Climate action
Name of the research project :
ARC OCCuPANt
Funders :
FWB - Fédération Wallonie-Bruxelles [BE]
Available on ORBi :
since 07 July 2022

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