Regional effects of atmospheric aerosols on temperature: An evaluation of an ensemble of online coupled models

dc.bibliographicCitation.firstPage9677
dc.bibliographicCitation.issue15
dc.bibliographicCitation.journalTitleAtmospheric Chemistry and Physicseng
dc.bibliographicCitation.lastPage9696
dc.bibliographicCitation.volume17
dc.contributor.authorBaró, Rocío
dc.contributor.authorPalacios-Peña, Laura
dc.contributor.authorBaklanov, Alexander
dc.contributor.authorBalzarini, Alessandra
dc.contributor.authorBrunner, Dominik
dc.contributor.authorForkel, Renate
dc.contributor.authorHirtl, Marcus
dc.contributor.authorHonzak, Luka
dc.contributor.authorPérez, Juan Luis
dc.contributor.authorPirovano, Guido
dc.contributor.authorSan José, Roberto
dc.contributor.authorSchröder, Wolfram
dc.contributor.authorWerhahn, Johannes
dc.contributor.authorWolke, Ralf
dc.contributor.authorŽabkar, Rahela
dc.contributor.authorJiménez-Guerrero, Pedro
dc.date.accessioned2023-04-13T08:40:05Z
dc.date.available2023-04-13T08:40:05Z
dc.date.issued2017
dc.description.abstractThe climate effect of atmospheric aerosols is associated with their influence on the radiative budget of the Earth due to the direct aerosol-radiation interactions (ARIs) and indirect effects, resulting from aerosol-cloud-radiation interactions (ACIs). Online coupled meteorology-chemistry models permit the description of these effects on the basis of simulated atmospheric aerosol concentrations, although there is still some uncertainty associated with the use of these models. Thus, the objective of this work is to assess whether the inclusion of atmospheric aerosol radiative feedbacks of an ensemble of online coupled models improves the simulation results for maximum, mean and minimum temperature at 2m over Europe. The evaluated models outputs originate from EuMetChem COST Action ES1004 simulations for Europe, differing in the inclusion (or omission) of ARI and ACI in the various models. The cases studies cover two important atmospheric aerosol episodes over Europe in the year 2010: (i) a heat wave event and a forest fire episode (July-August 2010) and (ii) a more humid episode including a Saharan desert dust outbreak in October 2010. The simulation results are evaluated against observational data from the E-OBS gridded database. The results indicate that, although there is only a slight improvement in the bias of the simulation results when including the radiative feedbacks, the spatiotemporal variability and correlation coefficients are improved for the cases under study when atmospheric aerosol radiative effects are included.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/11929
dc.identifier.urihttp://dx.doi.org/10.34657/10962
dc.language.isoeng
dc.publisherKatlenburg-Lindau : EGU
dc.relation.doihttps://doi.org/10.5194/acp-17-9677-2017
dc.relation.essn1680-7324
dc.rights.licenseCC BY 3.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/3.0
dc.subject.ddc550
dc.subject.otheraerosoleng
dc.subject.otheraerosol compositioneng
dc.subject.otherair temperatureeng
dc.subject.otherclimate effecteng
dc.subject.othercomputer simulationeng
dc.subject.otherdusteng
dc.subject.otherensemble forecastingeng
dc.subject.otherspatiotemporal analysiseng
dc.subject.otherEuropeeng
dc.subject.otherSaharaeng
dc.subject.otherAciseng
dc.titleRegional effects of atmospheric aerosols on temperature: An evaluation of an ensemble of online coupled modelseng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccess
wgl.contributorTROPOS
wgl.subjectGeowissenschaftenger
wgl.typeZeitschriftenartikelger
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