Size-dependent particle activation properties in fog during the ParisFog 2012/13 field campaign

dc.bibliographicCitation.firstPage10517eng
dc.bibliographicCitation.issue19eng
dc.bibliographicCitation.volume14eng
dc.contributor.authorHammer, E.
dc.contributor.authorGysel, M.
dc.contributor.authorRoberts, G.C.
dc.contributor.authorElias, T.
dc.contributor.authorHofer, J.
dc.contributor.authorHoyle, C.R.
dc.contributor.authorBukowiecki, N.
dc.contributor.authorDupont, J.-C.
dc.contributor.authorBurnet, F.
dc.contributor.authorBaltensperger, U.
dc.contributor.authorWeingartner, E.
dc.date.accessioned2020-09-11T12:53:03Z
dc.date.available2020-09-11T12:53:03Z
dc.date.issued2014
dc.description.abstractFog-induced visibility reduction is responsible for a variety of hazards in the transport sector. Therefore there is a large demand for an improved understanding of fog formation and thus improved forecasts. Improved fog forecasts require a better understanding of the numerous complex mechanisms during the fog life cycle. During winter 2012/13 a field campaign called ParisFog aiming at fog research took place at SIRTA (Instrumented Site for Atmospheric Remote Sensing Research). SIRTA is located about 20 km southwest of the Paris city center, France, in a semi-urban environment. In situ activation properties of the prevailing fog were investigated by measuring (1) total and interstitial (non-activated) dry particle number size distributions behind two different inlet systems; (2) interstitial hydrated aerosol and fog droplet size distributions at ambient conditions; and (3) cloud condensation nuclei (CCN) number concentration at different supersaturations (SS) with a CCN counter. The aerosol particles were characterized regarding their hygroscopic properties, fog droplet activation behavior and contribution to light scattering for 17 developed fog events. Low particle hygroscopicity with an overall median of the hygroscopicity parameter, κ, of 0.14 was found, likely caused by substantial influence from local traffic and wood burning emissions. Measurements of the aerosol size distribution at ambient RH revealed that the critical wet diameter, above which the hydrated aerosols activate to fog droplets, is rather large (with a median value of 2.6μm) and is highly variable (ranging from 1 to 5μm) between the different fog events. Thus, the number of activated fog droplets was very small and the non-activated hydrated particles were found to contribute significantly to the observed light scattering and thus to the reduction in visibility. Combining all experimental data, the effective peak supersaturation, SSpeak, a measure of the peak supersaturation during the fog formation, was determined. The median SSpeak value was estimated to be in the range from 0.031 to 0.046% (upper and lower limit estimations), which is in good agreement with previous experimental and modeling studies of fog.eng
dc.description.versionpublishedVersioneng
dc.identifier.urihttps://oa.tib.eu/renate/handle/123456789/5667
dc.identifier.urihttps://doi.org/10.34657/4296
dc.language.isoengeng
dc.publisherGöttingen : Copernicuseng
dc.relation.doihttps://doi.org/10.5194/acp-14-10517-2014
dc.relation.ispartofseriesAtmospheric Chemistry and Physics 14 (2014), 19eng
dc.relation.issn1680-7316
dc.rights.licenseCC BY 3.0 Unportedeng
dc.rights.urihttps://creativecommons.org/licenses/by/3.0/eng
dc.subjectaerosoleng
dc.subjectcloud condensation nucleuseng
dc.subjectcloud dropleteng
dc.subjectfogeng
dc.subjectforecasting methodeng
dc.subjecthygroscopicityeng
dc.subjectparticle sizeeng
dc.subjectsize distributioneng
dc.subjectwintereng
dc.subjectFranceeng
dc.subjectIle de Franceeng
dc.subjectPariseng
dc.subjectVille de Pariseng
dc.subject.ddc550eng
dc.titleSize-dependent particle activation properties in fog during the ParisFog 2012/13 field campaigneng
dc.typearticleeng
dc.typeTexteng
dcterms.bibliographicCitation.journalTitleAtmospheric Chemistry and Physicseng
tib.accessRightsopenAccesseng
wgl.contributorTROPOSeng
wgl.subjectUmweltwissenschafteneng
wgl.typeZeitschriftenartikeleng
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