Abstract
Aim of this work is to better understand the connections between synoptic circulation patterns, local wind regimes and air pollution in the Po Valley which is a densely populated and heavily industrialized area. In this study we present a classification of weather types (WTs) in the Alps region performed with an objective method (COST Action 733 “Harmonization and Applications of Weather Type Classification for European regions”) based on hierarchical cluster analysis followed by a k-means cluster analysis, which is applied to the daily 500hPa time series from ERA INTERIM reanalysis. In order to take in account the strong influence of the regional wind regime on the local air quality, a classification of surface wind pattern (WPs) is performed as well with a cluster analysis technique. The link between WTs and WPs is investigated, and the statistical properties of pollutants concentration, aerosol chemical composition and dimensional distribution are analyzed in connection with WTs and WPs.
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Notes
- 1.
A rural site in the central-eastern Po Valley.
- 2.
Time resolution: 5 min; vertical resolution: 15 m; altitude range: 200 m to 15 km.
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Acknowledgments
This research was carried out in the framework of the “Supersito” project, supported by Emilia-Romagna Region and ARPA Emilia-Romagna.
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Morgillo, A. et al. (2016). May Weather Types and Wind Patterns Enhance Our Understanding of the Relationship Between the Local Air Pollution and the Synoptic Circulation?. In: Steyn, D., Chaumerliac, N. (eds) Air Pollution Modeling and its Application XXIV. Springer Proceedings in Complexity. Springer, Cham. https://doi.org/10.1007/978-3-319-24478-5_55
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DOI: https://doi.org/10.1007/978-3-319-24478-5_55
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