Regional modelling of Saharan dust and biomass-burning smoke, Part I: Model description and evaluation

dc.bibliographicCitation.firstPage781
dc.bibliographicCitation.issue4eng
dc.bibliographicCitation.lastPage799
dc.bibliographicCitation.volume63
dc.contributor.authorHeinold, Bernd
dc.contributor.authorTegen, Ina
dc.contributor.authorSchepanski, Kerstin
dc.contributor.authorTesche, Matthias
dc.contributor.authorEsselborn, Michael
dc.contributor.authorFreudenthaler, Volker
dc.contributor.authorGross, Silke
dc.contributor.authorKandler, Konrad
dc.contributor.authorKnippertz, Peter
dc.contributor.authorMüller, Detlef
dc.contributor.authorSchladitz, Alexander
dc.contributor.authorToledano, Carlos
dc.contributor.authorWeinzierl, Bernadett
dc.contributor.authorAnsmann, Albert
dc.contributor.authorAlthausen, Dietrich
dc.contributor.authorMüller, Thomas
dc.contributor.authorPetzold, Andreas
dc.contributor.authorWiedensohler, Alfred
dc.date.accessioned2018-02-05T16:37:43Z
dc.date.available2019-06-26T17:17:08Z
dc.date.issued2017
dc.description.abstractThe spatio-temporal evolution of the Saharan dust and biomass-burning plume during the SAMUM-2 field campaign in January and February 2008 is simulated at 28 km horizontal resolution with the regional model-system COSMOMUSCAT. The model performance is thoroughly tested using routine ground-based and space-borne remote sensing and local field measurements. Good agreement with the observations is found in many cases regarding transport patterns, aerosol optical thicknesses and the ratio of dust to smoke aerosol. The model also captures major features of the complex aerosol layering. Nevertheless, discrepancies in the modelled aerosol distribution occur, which are analysed in detail. The dry synoptic dynamics controlling dust uplift and transport during the dry season are well described by the model, but surface wind peaks associated with the breakdown of nocturnal low-level jets are not always reproduced. Thus, a strong dust outbreak is underestimated. While dust emission modelling is a priori more challenging, since strength and placement of dust sources depend on on-line computed winds, considerable inaccuracies also arise in observation-based estimates of biomass-burning emissions. They are caused by cloud and spatial errors of satellite fire products and uncertainties in fire emission parameters, and can lead to unrealistic model results of smoke transport.
dc.description.versionpublishedVersioneng
dc.formatapplication/pdf
dc.identifier.urihttps://doi.org/10.34657/1221
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/298
dc.language.isoengeng
dc.publisherMilton Park : Taylor & Francis
dc.relation.doihttps://doi.org/10.1111/j.1600-0889.2011.00570.x
dc.relation.ispartofseriesTellus B: Chemical and Physical Meteorology, Volume 63, Issue 4, Page 781-799eng
dc.rights.licenseCC BY 4.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/eng
dc.subjectaerosol property
dc.subjectatmospheric modeling
dc.subjectatmospheric transport
dc.subjectbiomass burning
dc.subjectdust
dc.subjectground-based measurement
dc.subjectobservational method
dc.subjectremote sensing
dc.subjectsmoke
dc.subjecttemporal evolution
dc.subject.ddc550
dc.titleRegional modelling of Saharan dust and biomass-burning smoke, Part I: Model description and evaluation
dc.typearticleeng
dc.typeTexteng
dcterms.bibliographicCitation.journalTitleTellus B: Chemical and Physical Meteorologyeng
tib.accessRightsopenAccesseng
wgl.contributorTROPOSeng
wgl.subjectGeowissenschafteneng
wgl.typeZeitschriftenartikeleng
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