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  A multi-model comparison of meteorological drivers of surface ozone over Europe

Otero, N., Sillmann, J., Mar, K. A., Rust, H. W., Solberg, S., Andersson, C., et al. (2018). A multi-model comparison of meteorological drivers of surface ozone over Europe. Atmospheric Chemistry and Physics, 18(16), 12269-12288. doi:10.5194/acp-18-12269-2018.

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Otero, Noelia1, Autor
Sillmann, Jana1, Autor
Mar, Kathleen A.1, Autor
Rust, Henning W.1, Autor
Solberg, Sverre1, Autor
Andersson, Camilla1, Autor
Engardt, Magnuz1, Autor
Bergstrom, Robert1, Autor
Bessagnet, Bertrand1, Autor
Colette, Augustin1, Autor
Couvidat, Florian1, Autor
Cuvelier, Cournelius1, Autor
Tsyro, Svetlana1, Autor
Fagerli, Hilde1, Autor
Schaap, Martijn1, Autor
Manders, Astrid1, Autor
Mircea, Mihaela1, Autor
Briganti, Gino1, Autor
Cappelletti, Andrea1, Autor
Adani, Mario1, Autor
D'Isidoro, Massimo1, AutorPay, Maria-Teresa1, AutorTheobald, Mark1, AutorVivanco, Marta G.1, AutorWind, Peter1, AutorOjha, Narendra2, Autor           Raffort , Valentin1, AutorButler, Tim1, Autor mehr..
Affiliations:
1external, ou_persistent22              
2Atmospheric Chemistry, Max Planck Institute for Chemistry, Max Planck Society, ou_1826285              

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 Zusammenfassung: The implementation of European emission abatement strategies has led to a significant reduction in the emissions of ozone precursors during the last decade. Ground-level ozone is also influenced by meteorological factors such as temperature, which exhibit interannual variability and are expected to change in the future. The impacts of climate change on air quality are usually investigated through air-quality models that simulate interactions between emissions, meteorology and chemistry. Within a multi-model assessment, this study aims to better understand how air-quality models represent the relationship between meteorological variables and surface ozone concentrations over Europe. A multiple linear regression (MLR) approach is applied to observed and modelled time series across 10 European regions in springtime and summertime for the period of 2000–2010 for both models and observations. Overall, the air-quality models are in better agreement with observations in summertime than in springtime and particularly in certain regions, such as France, central Europe or eastern Europe, where local meteorological variables show a strong influence on surface ozone concentrations. Larger discrepancies are found for the southern regions, such as the Balkans, the Iberian Peninsula and the Mediterranean basin, especially in springtime. We show that the air-quality models do not properly reproduce the sensitivity of surface ozone to some of the main meteorological drivers, such as maximum temperature, relative humidity and surface solar radiation. Specifically, all air-quality models show more limitations in capturing the strength of the ozone–relative-humidity relationship detected in the observed time series in most of the regions, for both seasons. Here, we speculate that dry-deposition schemes in the air-quality models might play an essential role in capturing this relationship. We further quantify the relationship between ozone and maximum temperature (mo3−T, climate penalty) in observations and air-quality models. In summertime, most of the air-quality models are able to reproduce the observed climate penalty reasonably well in certain regions such as France, central Europe and northern Italy. However, larger discrepancies are found in springtime, where air-quality models tend to overestimate the magnitude of the observed climate penalty.

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Sprache(n): eng - English
 Datum: 2018
 Publikationsstatus: Erschienen
 Seiten: -
 Ort, Verlag, Ausgabe: -
 Inhaltsverzeichnis: -
 Art der Begutachtung: -
 Identifikatoren: ISI: 000442577800003
DOI: 10.5194/acp-18-12269-2018
 Art des Abschluß: -

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Titel: Atmospheric Chemistry and Physics
  Kurztitel : ACP
Genre der Quelle: Zeitschrift
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Affiliations:
Ort, Verlag, Ausgabe: Göttingen : Copernicus Publications
Seiten: - Band / Heft: 18 (16) Artikelnummer: - Start- / Endseite: 12269 - 12288 Identifikator: ISSN: 1680-7316
CoNE: https://pure.mpg.de/cone/journals/resource/111030403014016