Automatic determination of the planetary boundary layer height using lidar: One-year analysis over southeastern Spain

The planetary boundary layer (PBL) height is a key variable in climate modeling and has an enormous influence on air pollution. A method based on the wavelet covariance transform (WCT) applied to lidar data is tested in this paper as an automated and non‐supervised method to obtain the PBL height. T...

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Bibliographic Details
Published in:Journal of Geophysical Research: Atmospheres 2012-09, Vol.117 (D18), p.n/a
Main Authors: Granados-Muñoz, M. J., Navas-Guzmán, F., Bravo-Aranda, J. A., Guerrero-Rascado, J. L., Lyamani, H., Fernández-Gálvez, J., Alados-Arboledas, L.
Format: Article
Language:English
Subjects:
Aerosols
Air pollution
Boundary layers
Climate models
Earth sciences
Earth, ocean, space
Exact sciences and technology
Geophysics
Lidar
planetary boundary layer
Raman lidar
Statistical analysis
wavelet covariance transform method
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Summary:The planetary boundary layer (PBL) height is a key variable in climate modeling and has an enormous influence on air pollution. A method based on the wavelet covariance transform (WCT) applied to lidar data is tested in this paper as an automated and non‐supervised method to obtain the PBL height. The parcel and the Richardson number methods applied to radiosounding data and the parcel method applied to microwave radiometer temperature profiles are used as independent measurements of the PBL height in order to optimize the parameters required for its detection using the WCT method under different atmospheric conditions. This optimization allows for a one‐year statistical analysis of the PBL height at midday over Granada (southeastern Spain) from lidar data. The PBL height showed a seasonal cycle, with higher values in summer and spring while lower values were found in winter and autumn. The annual mean was 1.7 ± 0.5 km a.s.l. during the study period. The relationship of the PBL height with aerosol properties is also analyzed for the one‐year period. Key Points This study uses the WCT to determine automatically mixing height from lidar data The method was optimized comparing with radiosoundings and microwave radiometer One year analysis of the PBL height is done, correlating with aerosol properties
ISSN:0148-0227
2169-897X
2156-2202
2169-8996
DOI:10.1029/2012JD017524