Importance of size representation and morphology in modelling optical properties of black carbon: comparison between laboratory measurements and model simulations

dc.bibliographicCitation.firstPage6965
dc.bibliographicCitation.issue23
dc.bibliographicCitation.lastPage6989
dc.bibliographicCitation.volume15
dc.contributor.authorRomshoo, Baseerat
dc.contributor.authorPöhlker, Mira
dc.contributor.authorWiedensohler, Alfred
dc.contributor.authorPfeifer, Sascha
dc.contributor.authorSaturno, Jorge
dc.contributor.authorNowak, Andreas
dc.contributor.authorCiupek, Krzysztof
dc.contributor.authorQuincey, Paul
dc.contributor.authorVasilatou, Konstantina
dc.contributor.authorEss, Michaela N.
dc.contributor.authorGini, Maria
dc.contributor.authorEleftheriadis, Konstantinos
dc.contributor.authorRobins, Chris
dc.contributor.authorGaie-Levrel, François
dc.contributor.authorMüller, Thomas
dc.date.accessioned2023-04-04T08:15:22Z
dc.date.available2023-04-04T08:15:22Z
dc.date.issued2022
dc.description.abstractBlack carbon (BC) from incomplete combustion of biomass or fossil fuels is the strongest absorbing aerosol component in the atmosphere. Optical properties of BC are essential in climate models for quantification of their impact on radiative forcing. The global climate models, however, consider BC to be spherical particles, which causes uncertainties in their optical properties. Based on this, an increasing number of model-based studies provide databases and parameterization schemes for the optical properties of BC, using more realistic fractal aggregate morphologies. In this study, the reliability of the different modelling techniques of BC was investigated by comparing them to laboratory measurements. The modelling techniques were examined for bare BC particles in the first step and for BC particles with organic material in the second step. A total of six morphological representations of BC particles were compared, three each for spherical and fractal aggregate morphologies. In general, the aggregate representation performed well for modelling the particle light absorption coefficient σabs, single-scattering albedo SSA, and mass absorption cross-section MACBC for laboratory-generated BC particles with volume mean mobility diameters dp,V larger than 100nm. However, for modelling Ångström absorption exponent AAE, it was difficult to suggest a method due to size dependence, although the spherical assumption was in better agreement in some cases. The BC fractal aggregates are usually modelled using monodispersed particles, since their optical simulations are computationally expensive. In such studies, the modelled optical properties showed a 25% uncertainty in using the monodisperse size method. It is shown that using the polydisperse size distribution in combination with fractal aggregate morphology reduces the uncertainty in measured σabs to 10% for particles with dp,V between 60-160nm. Furthermore, the sensitivities of the BC optical properties to the various model input parameters such as the real and imaginary parts of the refractive index (mre and mim), the fractal dimension (Df), and the primary particle radius (app) of an aggregate were investigated. When the BC particle is small and rather fresh, the change in the Df had relatively little effect on the optical properties. There was, however, a significant relationship between app and the particle light scattering, which increased by a factor of up to 6 with increasing total particle size. The modelled optical properties of BC are well aligned with laboratory-measured values when the following assumptions are used in the fractal aggregate representation: mre between 1.6 and 2, mim between 0.50 and 1, Df from 1.7 to 1.9, and app between 10 and 14nm. Overall, this study provides experimental support for emphasizing the importance of an appropriate size representation (polydisperse size method) and an appropriate morphological representation for optical modelling and parameterization scheme development of BC.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/11915
dc.identifier.urihttp://dx.doi.org/10.34657/10948
dc.language.isoeng
dc.publisherKatlenburg-Lindau : Copernicus
dc.relation.doihttps://doi.org/10.5194/amt-15-6965-2022
dc.relation.essn1867-8548
dc.relation.ispartofseriesAtmospheric Measurement Techniques 15 (2022), Nr. 23eng
dc.rights.licenseCC BY 4.0 Unported
dc.rights.urihttps://creativecommons.org/licenses/by/4.0
dc.subjectaerosoleng
dc.subjectaerosol propertyeng
dc.subjectblack carboneng
dc.subjectclimate forcingeng
dc.subjectclimate modelingeng
dc.subjectglobal climateeng
dc.subjectlaboratory methodeng
dc.subjectoptical propertyeng
dc.subjectsimulationeng
dc.subject.ddc550
dc.titleImportance of size representation and morphology in modelling optical properties of black carbon: comparison between laboratory measurements and model simulationseng
dc.typearticle
dc.typeText
dcterms.bibliographicCitation.journalTitleAtmospheric Measurement Techniques
tib.accessRightsopenAccess
wgl.contributorTROPOS
wgl.subjectGeowissenschaftenger
wgl.typeZeitschriftenartikelger
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