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dc.contributor.authorMarenco, F
dc.contributor.authorKent, J
dc.contributor.authorAdam, M
dc.contributor.authorBuxmann, J
dc.contributor.authorFrancis, P
dc.contributor.authorHaywood, J
dc.date.accessioned2019-12-04T13:28:37Z
dc.date.issued2016-06-07
dc.description.abstractThe eruption of Eyjafjallajokull in 2010 has triggered the rapid development of volcanic ash remote sensing activities at the Met Office. Volcanic ash qualitative and quantitative mapping have been achieved using lidar on board the Facility for Airborne Atmospheric Measurements (FAAM) research aircraft, and using improved satellite retrieval algorithms. After the eruption, a new aircraft facility, the Met Office Civil Contingencies Aircraft (MOCCA), has been set up to enable a rapid response, and a network of ground-based remote sensing sites with lidars and sunphotometers is currently being developed. Thanks to these efforts, the United Kingdom (UK) will be much better equipped to deal with such a crisis, should it happen in the future.en_GB
dc.description.sponsorshipMet Officeen_GB
dc.description.sponsorshipNERCen_GB
dc.identifier.citationVol. 119, 07003en_GB
dc.identifier.doi10.1051/epjconf/201611907003
dc.identifier.urihttp://hdl.handle.net/10871/39959
dc.language.isoenen_GB
dc.publisherEDP Sciencesen_GB
dc.rights(C) Owned by the authors, published by EDP Sciences, 2016. 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.en_GB
dc.titleRemote Sensing of Volcanic ASH at the Met Officeen_GB
dc.typeConference paperen_GB
dc.date.available2019-12-04T13:28:37Z
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.dateAccepted2016-06-07
exeter.funder::Met Officeen_GB
rioxxterms.versionVoRen_GB
rioxxterms.licenseref.startdate2016-06-07
rioxxterms.typeConference Paper/Proceeding/Abstracten_GB
refterms.dateFCD2019-12-04T13:24:16Z
refterms.versionFCDVoR
refterms.dateFOA2019-12-04T13:28:42Z
refterms.panelBen_GB


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(C) Owned by the authors, published by EDP Sciences, 2016. 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.
Except where otherwise noted, this item's licence is described as (C) Owned by the authors, published by EDP Sciences, 2016. 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.