Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.14279/30742
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dc.contributor.authorAdam, Mariana-
dc.contributor.authorFragkos, Konstantinos-
dc.contributor.authorBinietoglou, Ioannis-
dc.contributor.authorWang, Dongxiang-
dc.contributor.authorStachlewska, Iwona S.-
dc.contributor.authorBelegante, Livio-
dc.contributor.authorNicolae, Victor-
dc.date.accessioned2023-11-06T09:08:41Z-
dc.date.available2023-11-06T09:08:41Z-
dc.date.issued2022-03-01-
dc.identifier.citationRemote Sensing, 2022, vol 14, iss. 5en_US
dc.identifier.issn20724292-
dc.identifier.urihttps://hdl.handle.net/20.500.14279/30742-
dc.description.abstractA near-real-time automatic detection system, based on the synergy of continuous measurements taken by a ceilometer and a photometer, has been implemented in order to detect lofted atmospheric aerosol layers and estimate the aerosol load. When heavy-loaded conditions are detected (defined by a significant deviation of the optical properties from a 10-year climatology), obtained for aerosol layers above 2500 m, an automatic alert is sent to scientists of the Romanian Lidar Network (ROLINET) to further monitor the event. The Hybrid Single-Particle Lagrangian Integrated Trajectory (HYSPLIT) back-trajectory calculations are used to establish the possible pollution source. The aerosol transport events are considered to be major when various optical properties provided by the photometer are found outside the climatological values. The aerosol types over the three years for all the events identified revealed that the contribution to the pollution was 31%, 9%, and 60% from marine, dust, and continental types. Considering only the ‘outside climatology limits’ events, the respective contribution was 15%, 12%, and 73% for marine, dust, and continental types, respectively.en_US
dc.formatpdfen_US
dc.language.isoenen_US
dc.relation.ispartofRemote Sensingen_US
dc.rights© by the authorsen_US
dc.subjectBack-trajectoriesen_US
dc.subjectCeilometeren_US
dc.subjectEarly detection systemen_US
dc.subjectNear-real-time monitoringen_US
dc.subjectPhotometeren_US
dc.titleTowards Early Detection of Tropospheric Aerosol Layers Using Monitoring with Ceilometer, Photometer, and Air Mass Trajectoriesen_US
dc.typeArticleen_US
dc.collaborationNational Institute of Research and Development for Optoelectronics INOE 2000en_US
dc.collaborationNational Observatory of Athensen_US
dc.collaborationUniversity of Warsawen_US
dc.collaborationSEPCOIII Electric Power Construction Co.en_US
dc.subject.categoryNATURAL SCIENCESen_US
dc.subject.categoryENGINEERING AND TECHNOLOGYen_US
dc.subject.categoryCivil Engineeringen_US
dc.journalsOpen Accessen_US
dc.countryRomaniaen_US
dc.countryGreeceen_US
dc.countryPolanden_US
dc.countryChinaen_US
dc.subject.fieldNatural Sciencesen_US
dc.subject.fieldEngineering and Technologyen_US
dc.publicationPeer Revieweden_US
dc.identifier.doi10.3390/rs14051217en_US
dc.identifier.scopus2-s2.0-85126286141en
dc.identifier.urlhttps://api.elsevier.com/content/abstract/scopus_id/85126286141en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.contributor.orcid#NODATA#en
dc.relation.issue5en_US
dc.relation.volume14en_US
cut.common.academicyear2021-2022en_US
item.grantfulltextopen-
item.openairetypearticle-
item.openairecristypehttp://purl.org/coar/resource_type/c_6501-
item.cerifentitytypePublications-
item.fulltextWith Fulltext-
item.languageiso639-1en-
crisitem.journal.journalissn2072-4292-
crisitem.journal.publisherMDPI-
crisitem.author.orcid0000-0002-3009-2407-
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