Articles | Volume 24, issue 1
https://doi.org/10.5194/acp-24-287-2024
https://doi.org/10.5194/acp-24-287-2024
Research article
 | 
11 Jan 2024
Research article |  | 11 Jan 2024

Weather regimes and the related atmospheric composition at a Pyrenean observatory characterized by hierarchical clustering of a 5-year data set

Jérémy Gueffier, François Gheusi, Marie Lothon, Véronique Pont, Alban Philibert, Fabienne Lohou, Solène Derrien, Yannick Bezombes, Gilles Athier, Yves Meyerfeld, Antoine Vial, and Emmanuel Leclerc

Data sets

Datasets and R scripts related to the study by Gueffier et al. on weather regimes and the related atmospheric composition at the P2OA Jérémy Gueffier https://doi.org/10.57932/3f644818-2f3b-4b39-987d-2eadedc3cc86

Thermal circulation detection by the methods developed by Hulin et al., 2019 and applied to the present study by Gueffier et al. François Gheusi https://doi.org/10.57932/bf0b14d2-8006-4314-b19f-b791ec09b76d

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Short summary
This study investigates the link between weather regime and atmospheric composition at a Pyrenean observatory. Five years of meteorological data were synchronized on a daily basis and then, using a clustering method, separated into six groups of observation days, with most showing marked characteristics of different weather regimes (fair and disturbed weather, winter windstorms, foehn). Statistical differences in gas and particle concentrations appeared between the groups and are discussed.
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