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dc.contributor.authorOsborne, M
dc.contributor.authorMarenco, F
dc.contributor.authorAdam, M
dc.contributor.authorBuxmann, J
dc.contributor.authorHaywood, J
dc.date.accessioned2019-12-04T13:33:30Z
dc.date.issued2018-04-13
dc.description.abstractThe Met Office has recently established a series of 10 lidar / sun-photometer installations across the UK, consolidating their ash / aerosol remote sensing capabilities [1]. In addition to this network, the Met Office have acquired the Civil Contingency Aircraft (MOCCA) which allows airborne in-situ measurements of ash / aerosol scattering and size-distributions. Two case studies are presented in which mass concentrations of Saharan dust are obtained remotely using lidar returns, and are then compared with those obtained in-situ. A thorough analysis of the mass concentration uncertainty will be provided at the conference.en_GB
dc.identifier.citationVol. 176, 05058en_GB
dc.identifier.doi10.1051/epjconf/201817605058
dc.identifier.urihttp://hdl.handle.net/10871/39960
dc.language.isoenen_GB
dc.publisherEDP Sciencesen_GB
dc.rights© The Authors, published by EDP Sciences, 2018. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).en_GB
dc.titleDust mass concentrations from the UK volcanic ash lidar network compared with in-situ aircraft measurementsen_GB
dc.typeConference paperen_GB
dc.date.available2019-12-04T13:33:30Z
dc.identifier.issn2101-6275
dc.descriptionThis is the final version. Available from EDP Sciences via the DOI in this record. en_GB
dc.identifier.journalEPJ Web of Conferencesen_GB
dc.rights.urihttps://creativecommons.org/licenses/by/4.0/en_GB
dcterms.dateAccepted2018-04-13
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2018-04-13
rioxxterms.typeConference Paper/Proceeding/Abstracten_GB
refterms.dateFCD2019-12-04T13:30:44Z
refterms.versionFCDVoR
refterms.dateFOA2019-12-04T13:33:34Z
refterms.panelBen_GB


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© The Authors, published by EDP Sciences, 2018. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).
Except where otherwise noted, this item's licence is described as © The Authors, published by EDP Sciences, 2018. This is an Open Access article distributed under the terms of the Creative Commons Attribution License 4.0, which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited. (http://creativecommons.org/licenses/by/4.0/).