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Proceedings Paper

Automatic methods to detect the top of atmospheric boundary layer
Author(s): Gregori de A. Moreira; Riad Bourayou; Fabio J. da Silva Lopes; Taciana A. Albuquerque; Neyval C. Reis Jr.; Gerhard Held; Eduardo Landulfo
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Paper Abstract

The main objective of this work is to obtain methods that automatically allow qualitative detections of Atmospheric Boundary Layer heights from LIDAR data. Case studies will be used to describe the more relevant days of a campaign carried out in July of 2012 in Vitória, Espírito Santo, Brazil. The data analysis compares three mathematical algorithms that automatically provide the ABL height: Gradient Method (GM), using the derivative of the Range Corrected Signal (RCS) logarithm, WCT (Wavelet Covariance Transform), and Bulk Richardson's Number, which was used to validate the methods mentioned above. The comparison between the methods has shown that as the presence of clouds and the aerosol sublayer increased, the more sensitive was the refinement needed to choose the “right” parameters, whereas even Richardson’s method had ambiguities in finding a good estimate of the ABL top.

Paper Details

Date Published: 22 October 2013
PDF: 11 pages
Proc. SPIE 8894, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing IX, 88940T (22 October 2013); doi: 10.1117/12.2028750
Show Author Affiliations
Gregori de A. Moreira, Instituto de Pesquisas Energéticas e Nucleares (Brazil)
Riad Bourayou, Instituto de Pesquisas Energéticas e Nucleares (Brazil)
Fabio J. da Silva Lopes, Instituto de Pesquisas Energéticas e Nucleares (Brazil)
Taciana A. Albuquerque, Univ. Federal do Espírito Santo (Brazil)
Neyval C. Reis Jr., Univ. Federal do Espírito Santo (Brazil)
Gerhard Held, Univ. Estadual de São Paulo (Brazil)
Eduardo Landulfo, Instituto de Pesquisas Energéticas e Nucleares (Brazil)


Published in SPIE Proceedings Vol. 8894:
Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing IX
Upendra N. Singh; Gelsomina Pappalardo, Editor(s)

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