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dc.contributor.authorOtero, Noelia
dc.contributor.authorSillmann, Jana
dc.contributor.authorMar, Kathleen
dc.contributor.authorRust, Henning W.
dc.contributor.authorSolberg, Sverre
dc.contributor.authorAndersson, Camilla
dc.contributor.authorEngardt, Magnuz
dc.contributor.authorBergström, Robert
dc.contributor.authorBessagnet, Bertrand
dc.contributor.authorColette, Augustin
dc.contributor.authorCouvidat, Florian
dc.contributor.authorCuvelier, Cornelius
dc.contributor.authorTsyro, Svetlana
dc.contributor.authorFagerli, Hilde
dc.contributor.authorSchaap, Martijn
dc.contributor.authorManders, Astrid
dc.contributor.authorMircea, Mihaela
dc.contributor.authorBriganti, Gino
dc.contributor.authorCappelletti, Andrea
dc.contributor.authorAdani, Mario
dc.contributor.authorD'Isidoro, Massimo
dc.contributor.authorPay, María Teresa
dc.contributor.authorTheobald, Mark
dc.contributor.authorVivanco, Marta G.
dc.contributor.authorWind, Peter Ariaan
dc.contributor.authorOjha, Narendra
dc.contributor.authorRaffort, Valentin
dc.contributor.authorButler, Tim
dc.date.accessioned2021-05-06T13:34:44Z
dc.date.available2021-05-06T13:34:44Z
dc.date.created2018-08-30T10:45:01Z
dc.date.issued2018
dc.identifier.citationAtmospheric Chemistry and Physics. 2018, 18 12269-12288.
dc.identifier.issn1680-7316
dc.identifier.urihttps://hdl.handle.net/11250/2754002
dc.description.abstractThe 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.
dc.language.isoeng
dc.titleA multi-model comparison of meteorological drivers of surface ozone over Europe
dc.title.alternativeA multi-model comparison of meteorological drivers of surface ozone over Europe
dc.typePeer reviewed
dc.typeJournal article
dc.description.versionpublishedVersion
dc.source.pagenumber12269-12288
dc.source.volume18
dc.source.journalAtmospheric Chemistry and Physics
dc.identifier.doi10.5194/acp-18-12269-2018
dc.identifier.cristin1605471
dc.relation.projectNILU - Norsk institutt for luftforskning: 112022
dc.relation.projectNILU - Norsk institutt for luftforskning: 7726
dc.relation.projectNorges forskningsråd: 244551
dc.relation.projectNordforsk: 75007
cristin.unitcode7475,0,0,0
cristin.unitnameCICERO Senter for klimaforskning
cristin.ispublishedtrue
cristin.fulltextoriginal
cristin.qualitycode2


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