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dc.contributor.authorMuñoz Porcar, Constantino
dc.contributor.authorSilva, Marcos Paulo Araujo da
dc.contributor.authorSaeed, Umar
dc.contributor.authorRey Micolau, Francesc
dc.contributor.authorPay Pérez, M. Teresa
dc.contributor.authorRocadenbosch Burillo, Francisco
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.contributor.otherUniversitat Politècnica de Catalunya. Doctorat en Teoria del Senyal i Comunicacions
dc.contributor.otherBarcelona Supercomputing Center
dc.date.accessioned2021-10-20T08:54:54Z
dc.date.available2021-10-20T08:54:54Z
dc.date.issued2021
dc.identifier.citationMuñoz, C. [et al.]. Variance processing for stable boundary-layer height estimation using backscatter lidar data: A discussion. A: IEEE International Geoscience and Remote Sensing Symposium. "IGARSS 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium: 12–16 July, 2021, virtual symposium, Brussels, Belgium: proceedings". Institute of Electrical and Electronics Engineers (IEEE), 2021, p. 8045-8048. ISBN 978-1-6654-0369-6. DOI 10.1109/IGARSS47720.2021.9554707.
dc.identifier.isbn978-1-6654-0369-6
dc.identifier.urihttp://hdl.handle.net/2117/353961
dc.description.abstractIn this paper we present a method for estimating the height of the nocturnal stable boundary layer by using lidar measurements and a single radiosonde for unambiguous initial guess. The method relies on the correlation between aerosol stratifications in the stable boundary layer and minimum variance levels in the attenuated backscatter profile. The method is based on calculating either temporal or spatial variance vertical profiles of the attenuated backscatter and threshold-limited decision. A radiosonde temperature-based estimation is used to provide an initial guess if several minimum variance regions are detected. Two study cases using ceilometer data are shown. Comparison with temperature-based estimations from a collocated microwave radiometer have been used for validation. The method can be useful for estimating the stable boundary layer height in sites with a ceilometer but without any available temperature profiler.
dc.description.sponsorshipThis work was supported via Spanish Government–European Regional Development Funds project PGC2018-094132-B-I00 and EU H2020 ACTRIS-IMP (GA 871115). CommSensLab is a María-de-Maeztu Unit of Excellence funded by the Agencia Estatal de Investigación, Spain. The work of M.P. Araujo da Silva was supported by the Spanish Ministry of Science, Innovation and Universities under Grant PRE2018-086054. Data were provided by Jülich Observatory for Cloud Evolution (JOYCE-CF), a core facility funded by Deutsche Forschungsgemeinschaft via grant DFG LO 901/7-1.
dc.format.extent4 p.
dc.language.isoeng
dc.publisherInstitute of Electrical and Electronics Engineers (IEEE)
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subject.lcshOptical radar
dc.subject.lcshRemote sensing
dc.subject.lcshAtmospheric aerosols
dc.subject.otherLaser radar
dc.subject.otherSignal processing
dc.subject.otherStable boundary layer
dc.titleVariance processing for stable boundary-layer height estimation using backscatter lidar data: A discussion
dc.typeConference report
dc.subject.lemacRadar òptic
dc.subject.lemacTeledetecció
dc.subject.lemacAerosols atmosfèrics
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.contributor.groupUniversitat Politècnica de Catalunya. SPCOM - Grup de Recerca de Processament del Senyal i Comunicacions
dc.identifier.doi10.1109/IGARSS47720.2021.9554707
dc.description.peerreviewedPeer Reviewed
dc.relation.publisherversionhttps://ieeexplore.ieee.org/document/9554707
dc.rights.accessOpen Access
local.identifier.drac32109199
dc.description.versionPostprint (author's final draft)
dc.relation.projectidinfo:eu-repo/grantAgreement/AEI/Plan Estatal de Investigación Científica y Técnica y de Innovación 2017-2020/PGC2018-094132-B-I00/ES/TELEDETECCION ATMOSFERICA MEDIANTE SENSORES COOPERATIVOS LIDAR, RADAR Y PASIVOS: APLICACIONES SOBRE TIERRA Y MAR PARA LA OBSERVACION ATMOSFERICA Y ENERGIA EOLICA OFF-SHORE/
dc.relation.projectidinfo:eu-repo/grantAgreement/EC/H2020/871115/EU/Aerosol, Clouds and Trace Gases Research Infrastructure Implementation Project/ACTRIS IMP
dc.relation.projectidinfo:eu-repo/grantAgreement/MINECO/1PE/MDM-2016-0600
local.citation.authorMuñoz, C.; Araujo da Silva, M. P.; Saeed, U.; Rey, F.; Pay, M.T.; Rocadenbosch, F.
local.citation.contributorIEEE International Geoscience and Remote Sensing Symposium
local.citation.publicationNameIGARSS 2021, 2021 IEEE International Geoscience and Remote Sensing Symposium: 12–16 July, 2021, virtual symposium, Brussels, Belgium: proceedings
local.citation.startingPage8045
local.citation.endingPage8048


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