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Retrieval of boundary layer height from lidar using extended Kalman filter approach, classic methods, and backtrajectory cluster analysis

Author
Banks, R.; Tiana-Alsina, J.; Baldasano, J.; Rocadenbosch, F.
Type of activity
Presentation of work at congresses
Name of edition
2014 SPIE International Symposium on Remote Sensing: Conference on Remote Sensing of Clouds and the Atmosphere XX
Date of publication
2014
Presentation's date
2014-09
Book of congress proceedings
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
First page
1
Last page
16
Publisher
International Society for Photo-Optical Instrumentation Engineers (SPIE)
DOI
https://doi.org/10.1117/12.2072049 Open in new window
Rewarded activity
Yes
Project funding
Initial Training on Atmospheric Remote Sensing
Repository
http://hdl.handle.net/2117/27921 Open in new window
URL
http://spie.org/Publications/Proceedings/Paper/10.1117/12.2072049 Open in new window
Abstract
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 ...
Citation
Banks, 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.
Keywords
Boundary layer, Bulk Richardson, Cluster analysis, EARLINET, Kalman filter, Lidar
Group of research
CommSensLab-UPC - Centre Específic de Recerca en Comunicació i Detecció UPC
DONLL - Nonlinear dynamics, nonlinear optics and lasers
GRIC - Group of Construction Research and Innovation
GReCT - Earth Sciences Research Group
RSLAB - Remote Sensing Lab

Participants