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dc.contributor.authorBanks, Robert Franklin
dc.contributor.authorTiana Alsina, Jordi
dc.contributor.authorBaldasano Recio, José María
dc.contributor.authorRocadenbosch Burillo, Francisco
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Projectes d'Enginyeria
dc.contributor.otherUniversitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions
dc.date.accessioned2015-05-14T16:12:02Z
dc.date.created2014
dc.date.issued2014
dc.identifier.citationBanks, R. [et al.]. Retrieval of boundary layer height from lidar using extended Kalman filter approach, classic methods, and backtrajectory cluster analysis. A: SPIE Remote Sensing. "Remote sensing of clouds and the atmosphere XIX; and Optics in atmospheric propagation and adaptive systems XVII: 22, and 24–25 September 2014, Amsterdam, Netherlands: proceedings of SPIE, vol. 9242". Amsterdam: International Society for Photo-Optical Instrumentation Engineers (SPIE), 2014, p. 1-16.
dc.identifier.isbn0277-786X
dc.identifier.urihttp://hdl.handle.net/2117/27921
dc.description.abstractThis contribution evaluates an approach using an extended Kalman filter (EKF) to estimate the planetary boundary layer height (PBLH) from lidar measurements obtained in the framework of the European Aerosol Research LIdar NETwork (EARLINET) at 12 UTC ± 30-min for a 7-year period (2007-2013) under different synoptic flows over the complex geographical area of Barcelona, Spain. PBLH diagnosed with the EKF technique are compared with classic lidar methods and radiosounding estimates. Seven unique synoptic flows are identified using cluster analysis of 5756 HYSPLIT (HYbrid Single Particle Lagrangian Integrated Trajectory) three-day backtrajectories for a 16-year period (1998-2013) arriving at 0.5 km, 1.5 km, and 3 km, to represent the lower PBL, upper PBL, and low free troposphere, respectively. Regional recirculations are dominant with 54% of the annual total at 0.5 km and 57% of the total lidar days at 1.5 km, with a clear preference for summertime (0.5 km: 36% and 1.5 km: 29%). PBLH retrievals using the EKF method range from 0.79 - 1.6 km asl. The highest PBLHs are observed in southwest flows (15.2% of total) and regional recirculations from the east (34.8% of total), mainly caused by the stagnant synoptic pattern in summertime over the Iberian Peninsula. The lowest PBLHs are associated with north (19.6% of total) and northeast (4.3% of total) synoptic flows, when fresh air masses tend to lower PBLH. The adaptive nature of the EKF technique allows retrieval of reliable PBLH without the need for long time averaging or range smoothing, as typical with classic methods
dc.format.extent16 p.
dc.language.isoeng
dc.publisherInternational Society for Photo-Optical Instrumentation Engineers (SPIE)
dc.rightsAttribution-NonCommercial-NoDerivs 3.0 Spain
dc.rights.urihttp://creativecommons.org/licenses/by-nc-nd/3.0/es/
dc.subjectÀrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Contaminació atmosfèrica
dc.subjectÀrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
dc.subjectÀrees temàtiques de la UPC::Enginyeria electrònica::Optoelectrònica::Làser
dc.subject.lcshEARLINET
dc.subject.lcshBoundary layer (Meteorology)
dc.subject.lcshOptical radar
dc.subject.lcshKalman filtering
dc.subject.lcshAtmospheric aerosols
dc.subject.lcshCluster analysis
dc.subject.otherBoundary layer
dc.subject.otherLidar
dc.subject.otherCluster analysis
dc.subject.otherKalman filter
dc.subject.otherEARLINET
dc.subject.otherBulk Richardson
dc.titleRetrieval of boundary layer height from lidar using extended Kalman filter approach, classic methods, and backtrajectory cluster analysis
dc.typeConference report
dc.subject.lemacEARLINET
dc.subject.lemacCapa límit (Meteorologia)
dc.subject.lemacRadar òptic
dc.subject.lemacKalman, Filtratge de
dc.subject.lemacAerosols atmosfèrics
dc.subject.lemacAnàlisi de conglomerats
dc.contributor.groupUniversitat Politècnica de Catalunya. GReCT - Grup de Recerca de Ciències de la Terra
dc.contributor.groupUniversitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
dc.identifier.doi10.1117/12.2072049
dc.description.awardwinningAward-winning
dc.relation.publisherversionhttp://spie.org/Publications/Proceedings/Paper/10.1117/12.2072049
dc.rights.accessRestricted access - publisher's policy
local.identifier.drac15572401
dc.description.versionPostprint (published version)
dc.date.lift10000-01-01
local.citation.authorBanks, R.; Tiana, J.; Baldasano, J.; Rocadenbosch, F.
local.citation.contributorSPIE Remote Sensing
local.citation.pubplaceAmsterdam
local.citation.publicationNameRemote sensing of clouds and the atmosphere XIX; and Optics in atmospheric propagation and adaptive systems XVII: 22, and 24–25 September 2014, Amsterdam, Netherlands: proceedings of SPIE, vol. 9242
local.citation.startingPage1
local.citation.endingPage16


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