Paper
22 October 2013 Automatic methods to detect the top of atmospheric boundary layer
Gregori de A. Moreira, Riad Bourayou, Fabio J. da Silva Lopes, Taciana A. Albuquerque, Neyval C. Reis Jr., Gerhard Held, Eduardo Landulfo
Author Affiliations +
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.
© (2013) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Gregori de A. Moreira, Riad Bourayou, Fabio J. da Silva Lopes, Taciana A. Albuquerque, Neyval C. Reis Jr., Gerhard Held, and Eduardo Landulfo "Automatic methods to detect the top of atmospheric boundary layer", Proc. SPIE 8894, Lidar Technologies, Techniques, and Measurements for Atmospheric Remote Sensing IX, 88940T (22 October 2013); https://doi.org/10.1117/12.2028750
Lens.org Logo
CITATIONS
Cited by 3 scholarly publications.
Advertisement
Advertisement
RIGHTS & PERMISSIONS
Get copyright permission  Get copyright permission on Copyright Marketplace
KEYWORDS
LIDAR

Clouds

Atmospheric particles

Aerosols

Atmospheric sensing

Wavelets

Signal detection

Back to Top