Aerosols-cloud microphysics-thermodynamics-turbulence: Evaluating supersaturation in a marine stratocumulus cloud

dc.bibliographicCitation.firstPage2459eng
dc.bibliographicCitation.issue5eng
dc.bibliographicCitation.journalTitleAtmospheric Chemistry and Physicseng
dc.bibliographicCitation.lastPage2468eng
dc.bibliographicCitation.volume12
dc.contributor.authorDitas, F.
dc.contributor.authorShaw, R.A.
dc.contributor.authorSiebert, H.
dc.contributor.authorSimmel, M.
dc.contributor.authorWehner, B.
dc.contributor.authorWiedensohler, A.
dc.date.accessioned2017-11-21T21:29:21Z
dc.date.available2019-06-26T17:18:22Z
dc.date.issued2012
dc.description.abstractThis work presents a unique combination of aerosol, cloud microphysical, thermodynamic and turbulence variables to characterize supersaturation fluctuations in a turbulent marine stratocumulus (SC) layer. The analysis is based on observations with the helicopter-borne measurement platform ACTOS and a detailed cloud microphysical parcel model following three different approaches: (1) From the comparison of aerosol number size distributions inside and below the SC layer, the number of activated particles is calculated as 435±87 cm−3 and compares well with the observed median droplet number concentration of Nd = 464 cm−3. Furthermore, a 50% activation diameter of Dp50≈115 nm was derived, which was linked to a critical supersaturation Scrit of 0.16% via Köhler theory. From the shape of the fraction of activated particles, we estimated a standard deviation of supersaturation fluctuations of σS' = 0.09%. (2) These estimates are compared to more direct thermodynamic observations at cloud base. Therefore, supersaturation fluctuations (S') are calculated based on highly-resolved thermodynamic data showing a standard deviation of S' ranging within 0.1%≤σS'≤0.3 %. (3) The sensitivity of the supersaturation on observed vertical wind velocity fluctuations is investigated with the help of a detailed cloud microphysical model. These results show highest fluctuations of S' with σS'=0.1% at cloud base and a decreasing σS' with increasing liquid water content and droplet number concentration. All three approaches are independent of each other and vary only within a factor of about two.eng
dc.description.versionpublishedVersioneng
dc.formatapplication/pdf
dc.identifier.urihttps://doi.org/10.34657/748
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/556
dc.language.isoengeng
dc.publisherMünchen : European Geopyhsical Unioneng
dc.relation.doihttps://doi.org/10.5194/acp-12-2459-2012
dc.rights.licenseCC BY 3.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/eng
dc.subject.ddc550eng
dc.subject.otheraerosoleng
dc.subject.otherairborne sensingeng
dc.subject.othercloud microphysicseng
dc.subject.othergrain sizeeng
dc.subject.othermarine atmosphereeng
dc.subject.othersize distributioneng
dc.subject.otherstratocumuluseng
dc.subject.othersupersaturationeng
dc.subject.otherthermodynamicseng
dc.subject.otherturbulenceeng
dc.subject.otherwind velocityeng
dc.titleAerosols-cloud microphysics-thermodynamics-turbulence: Evaluating supersaturation in a marine stratocumulus cloudeng
dc.typeArticleeng
dc.typeTexteng
tib.accessRightsopenAccesseng
wgl.contributorTROPOSeng
wgl.subjectGeowissenschafteneng
wgl.typeZeitschriftenartikeleng
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