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Retrieval of boundary layer height from lidar using extended Kalman filter approach, classic methods, and backtrajectory cluster analysis
Banks, Robert Franklin; Tiana Alsina, Jordi; Baldasano Recio, José María; Rocadenbosch Burillo, Francisco
Universitat Politècnica de Catalunya. Departament de Projectes d'Enginyeria; Universitat Politècnica de Catalunya. Departament de Teoria del Senyal i Comunicacions; Universitat Politècnica de Catalunya. GReCT - Grup de Recerca de Ciències de la Terra; Universitat Politècnica de Catalunya. RSLAB - Grup de Recerca en Teledetecció
This 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
Award-winning
Àrees temàtiques de la UPC::Desenvolupament humà i sostenible::Degradació ambiental::Contaminació atmosfèrica
Àrees temàtiques de la UPC::Enginyeria de la telecomunicació::Radiocomunicació i exploració electromagnètica::Teledetecció
Àrees temàtiques de la UPC::Enginyeria electrònica::Optoelectrònica::Làser
EARLINET
Boundary layer (Meteorology)
Optical radar
Kalman filtering
Atmospheric aerosols
Cluster analysis
Boundary layer
Lidar
Cluster analysis
Kalman filter
EARLINET
Bulk Richardson
EARLINET
Capa límit (Meteorologia)
Radar òptic
Kalman, Filtratge de
Aerosols atmosfèrics
Anàlisi de conglomerats
Attribution-NonCommercial-NoDerivs 3.0 Spain
http://creativecommons.org/licenses/by-nc-nd/3.0/es/
info:eu-repo/semantics/publishedVersion
info:eu-repo/semantics/conferenceObject
International Society for Photo-Optical Instrumentation Engineers (SPIE)
         

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