000186555 001__ 186555
000186555 005__ 20240712100954.0
000186555 0247_ $$2doi$$a10.5194/acp-14-9061-2014
000186555 0247_ $$2ISSN$$a1680-7316
000186555 0247_ $$2ISSN$$a1680-7324
000186555 0247_ $$2Handle$$a2128/8269
000186555 0247_ $$2WOS$$aWOS:000341992000014
000186555 037__ $$aFZJ-2015-00628
000186555 082__ $$a550
000186555 1001_ $$0P:(DE-HGF)0$$aFountoukis, C.$$b0
000186555 245__ $$aOrganic aerosol concentration and composition over Europe: insights from comparison of regional model predictions with aerosol mass spectrometer factor analysis
000186555 260__ $$aKatlenburg-Lindau$$bEGU$$c2014
000186555 3367_ $$0PUB:(DE-HGF)16$$2PUB:(DE-HGF)$$aJournal Article$$bjournal$$mjournal$$s1421736562_11842
000186555 3367_ $$2DataCite$$aOutput Types/Journal article
000186555 3367_ $$00$$2EndNote$$aJournal Article
000186555 3367_ $$2BibTeX$$aARTICLE
000186555 3367_ $$2ORCID$$aJOURNAL_ARTICLE
000186555 3367_ $$2DRIVER$$aarticle
000186555 520__ $$aA detailed three-dimensional regional chemical transport model (Particulate Matter Comprehensive Air Quality Model with Extensions, PMCAMx) was applied over Europe, focusing on the formation and chemical transformation of organic matter. Three periods representative of different seasons were simulated, corresponding to intensive field campaigns. An extensive set of AMS measurements was used to evaluate the model and, using factor-analysis results, gain more insight into the sources and transformations of organic aerosol (OA). Overall, the agreement between predictions and measurements for OA concentration is encouraging, with the model reproducing two-thirds of the data (daily average mass concentrations) within a factor of 2. Oxygenated OA (OOA) is predicted to contribute 93% to total OA during May, 87% during winter and 96% during autumn, with the rest consisting of fresh primary OA (POA). Predicted OOA concentrations compare well with the observed OOA values for all periods, with an average fractional error of 0.53 and a bias equal to −0.07 (mean error = 0.9 μg m−3, mean bias = −0.2 μg m−3). The model systematically underpredicts fresh POA at most sites during late spring and autumn (mean bias up to −0.8 μg m−3). Based on results from a source apportionment algorithm running in parallel with PMCAMx, most of the POA originates from biomass burning (fires and residential wood combustion), and therefore biomass burning OA is most likely underestimated in the emission inventory. The sensitivity of POA predictions to the corresponding emissions' volatility distribution is discussed. The model performs well at all sites when the Positive Matrix Factorization (PMF)-estimated low-volatility OOA is compared against the OA with saturation concentrations of the OA surrogate species C* ≤ 0.1 μg m−3 and semivolatile OOA against the OA with C* > 0.1 μg m−3.
000186555 536__ $$0G:(DE-HGF)POF2-233$$a233 - Trace gas and aerosol processes in the troposphere (POF2-233)$$cPOF2-233$$fPOF II$$x0
000186555 588__ $$aDataset connected to CrossRef, juser.fz-juelich.de
000186555 7001_ $$0P:(DE-HGF)0$$aMegaritis, A. G.$$b1
000186555 7001_ $$0P:(DE-HGF)0$$aSkyllakou, K.$$b2
000186555 7001_ $$0P:(DE-HGF)0$$aCharalampidis, P. E.$$b3
000186555 7001_ $$0P:(DE-HGF)0$$aPilinis, C.$$b4
000186555 7001_ $$0P:(DE-HGF)0$$aDenier van der Gon, H. A. C.$$b5
000186555 7001_ $$0P:(DE-HGF)0$$aCrippa, M.$$b6
000186555 7001_ $$0P:(DE-HGF)0$$aCanonaco, F.$$b7
000186555 7001_ $$0P:(DE-HGF)0$$aMohr, C.$$b8
000186555 7001_ $$0P:(DE-HGF)0$$aPrévôt, A. S. H.$$b9
000186555 7001_ $$0P:(DE-HGF)0$$aAllan, J. D.$$b10
000186555 7001_ $$0P:(DE-HGF)0$$aPoulain, L.$$b11
000186555 7001_ $$0P:(DE-HGF)0$$aPetäjä, T.$$b12
000186555 7001_ $$0P:(DE-HGF)0$$aTiitta, P.$$b13
000186555 7001_ $$0P:(DE-HGF)0$$aCarbone, S.$$b14
000186555 7001_ $$0P:(DE-Juel1)4528$$aKiendler-Scharr, A.$$b15$$ufzj
000186555 7001_ $$0P:(DE-HGF)0$$aNemitz, E.$$b16
000186555 7001_ $$0P:(DE-HGF)0$$aO'Dowd, C.$$b17
000186555 7001_ $$0P:(DE-HGF)0$$aSwietlicki, E.$$b18
000186555 7001_ $$0P:(DE-HGF)0$$aPandis, S. N.$$b19$$eCorresponding Author
000186555 773__ $$0PERI:(DE-600)2069847-1$$a10.5194/acp-14-9061-2014$$gVol. 14, no. 17, p. 9061 - 9076$$n17$$p9061 - 9076$$tAtmospheric chemistry and physics$$v14$$x1680-7324$$y2014
000186555 8564_ $$uwww.atmos-chem-phys.net/14/9061/2014/
000186555 8564_ $$uhttps://juser.fz-juelich.de/record/186555/files/FZJ-2015-00628.pdf$$yOpenAccess
000186555 8564_ $$uhttps://juser.fz-juelich.de/record/186555/files/FZJ-2015-00628.jpg?subformat=icon-144$$xicon-144$$yOpenAccess
000186555 8564_ $$uhttps://juser.fz-juelich.de/record/186555/files/FZJ-2015-00628.jpg?subformat=icon-180$$xicon-180$$yOpenAccess
000186555 8564_ $$uhttps://juser.fz-juelich.de/record/186555/files/FZJ-2015-00628.jpg?subformat=icon-640$$xicon-640$$yOpenAccess
000186555 909CO $$ooai:juser.fz-juelich.de:186555$$pdnbdelivery$$pVDB$$pVDB:Earth_Environment$$pdriver$$popen_access$$popenaire
000186555 9101_ $$0I:(DE-588b)5008462-8$$6P:(DE-Juel1)4528$$aForschungszentrum Jülich GmbH$$b15$$kFZJ
000186555 9132_ $$0G:(DE-HGF)POF3-243$$1G:(DE-HGF)POF3-240$$2G:(DE-HGF)POF3-200$$aDE-HGF$$bMarine, Küsten- und Polare Systeme$$lAtmosphäre und Klima$$vTropospheric trace substances and their transformation processes$$x0
000186555 9131_ $$0G:(DE-HGF)POF2-233$$1G:(DE-HGF)POF2-230$$2G:(DE-HGF)POF2-200$$3G:(DE-HGF)POF2$$4G:(DE-HGF)POF$$aDE-HGF$$bErde und Umwelt$$lAtmosphäre und Klima$$vTrace gas and aerosol processes in the troposphere$$x0
000186555 9141_ $$y2014
000186555 915__ $$0LIC:(DE-HGF)CCBY3$$2HGFVOC$$aCreative Commons Attribution CC BY 3.0
000186555 915__ $$0StatID:(DE-HGF)0150$$2StatID$$aDBCoverage$$bWeb of Science Core Collection
000186555 915__ $$0StatID:(DE-HGF)0100$$2StatID$$aJCR
000186555 915__ $$0StatID:(DE-HGF)9905$$2StatID$$aIF >= 5
000186555 915__ $$0StatID:(DE-HGF)0500$$2StatID$$aDBCoverage$$bDOAJ
000186555 915__ $$0StatID:(DE-HGF)0200$$2StatID$$aDBCoverage$$bSCOPUS
000186555 915__ $$0StatID:(DE-HGF)0110$$2StatID$$aWoS$$bScience Citation Index
000186555 915__ $$0StatID:(DE-HGF)0111$$2StatID$$aWoS$$bScience Citation Index Expanded
000186555 915__ $$0StatID:(DE-HGF)0510$$2StatID$$aOpenAccess
000186555 915__ $$0StatID:(DE-HGF)1150$$2StatID$$aDBCoverage$$bCurrent Contents - Physical, Chemical and Earth Sciences
000186555 915__ $$0StatID:(DE-HGF)0300$$2StatID$$aDBCoverage$$bMedline
000186555 915__ $$0StatID:(DE-HGF)0199$$2StatID$$aDBCoverage$$bThomson Reuters Master Journal List
000186555 920__ $$lyes
000186555 9201_ $$0I:(DE-Juel1)IEK-8-20101013$$kIEK-8$$lTroposphäre$$x0
000186555 9801_ $$aFullTexts
000186555 980__ $$ajournal
000186555 980__ $$aVDB
000186555 980__ $$aUNRESTRICTED
000186555 980__ $$aFullTexts
000186555 980__ $$aI:(DE-Juel1)IEK-8-20101013
000186555 981__ $$aI:(DE-Juel1)ICE-3-20101013