Expand this Topic clickable element to expand a topic
Skip to content
Optica Publishing Group

Retrieval of aerosol extinction-to-backscatter ratios by combining ground-based and space-borne lidar elastic scattering measurements

Open Access Open Access

Abstract

A technique to determine the aerosol extinction-to-backscatter ratio (lidar ratio) as well as extinction and backscatter coefficients from simultaneous ground-based and space-borne lidar measurements is proposed. This technique can be applied in presence of more than one aerosol layer. To test the reliability of this technique, a numerical simulation has been performed. Moreover, the technique has been applied to an actual case by analyzing data from Cloud-Aerosol Lidar and Infrared Pathfinder Satellite Observations (CALIPSO) and Napoli-Earlinet lidar measurements. The results show that the values of lidar ratio and backscatter coefficient retrieved by this technique are in good agreement with the ones obtained from Raman measurements.

©2011 Optical Society of America

Full Article  |  PDF Article
More Like This
An Algorithm to retrieve aerosol properties from analysis of multiple scattering influences on both Ground-Based and Space-Borne Lidar Returns

Xiaomei Lu, Yuesong Jiang, Xuguo Zhang, Xiaoxia Lu, and Yuntao He
Opt. Express 17(11) 8719-8728 (2009)

Retrieval of atmospheric particles optical properties by combining ground-based and spaceborne lidar elastic scattering profiles

Xuan Wang, Maria Grazia Frontoso, Gianluca Pisani, and Nicola Spinelli
Opt. Express 15(11) 6734-6743 (2007)

Aerosol lidar intercomparison in the framework of the EARLINET project. 3. Raman lidar algorithm for aerosol extinction, backscatter, and lidar ratio

Gelsomina Pappalardo, Aldo Amodeo, Marco Pandolfi, Ulla Wandinger, Albert Ansmann, Jens Bösenberg, Volker Matthias, Vassilis Amiridis, Ferdinando De Tomasi, Max Frioud, Marco Iarlori, Leonce Komguem, Alexandros Papayannis, Francesc Rocadenbosch, and Xuan Wang
Appl. Opt. 43(28) 5370-5385 (2004)

Cited By

Optica participates in Crossref's Cited-By Linking service. Citing articles from Optica Publishing Group journals and other participating publishers are listed here.

Alert me when this article is cited.


Figures (4)

Fig. 1
Fig. 1 The simulated RCSg and ABSS (a). The aerosol backscatter coefficients βp,g, βp,s retrieved by the described technique and the supposed one represented by ‘Supposed’ (b). The dashed lines define the aerosol boundary layers. The error bars report the standard deviations of the signals.
Fig. 2
Fig. 2 The color coded curtains of performance function F(Sk) for lidar ratios of two layers S1 (0-1.5km) and S2 (1.5-6km) in full scale (a) and in small scale (b).
Fig. 3
Fig. 3 The signal RCSg measured by Napoli lidar at 01:11 GMT on July 22, 2007 and ABSS measured by CALIPSO lidar at 532nm. The dashed lines define the aerosol boundary layers. The error bars report the standard deviations of the signals.
Fig. 4
Fig. 4 The color coded curtains of performance function F(Sk) for lidar ratios of two layers SPBL (0-1km) and SD (1-5km) (a). The aerosol backscatter coefficients βp,g, βp,s retrieved by the described technique and by the Raman method (b). The dashed lines show the two layers boundaries. The error bars report the standard deviation of the Raman results.

Equations (7)

Equations on this page are rendered with MathJax. Learn more.

R C S g ( z ) = C g ( β p , g ( z ) + β m ( z ) ) exp ( 2 0 z ( α p , g ( z ' ) + α m ( z ' ) ) d z ' )
A B S s ( z ) = ( β p , s ( z ) + β m ( z ) ) exp ( 2 z z s ( α p , s ( z ' ) + α m ( z ' ) ) d z ' )
β i p , g ( z ) = R C S g ( z ) C g exp { 2 0 z [ α m ( z ' ) + α i 1 p , g ( z ' ) ] d z ' } β m ( z )
β i p , s ( z ) = A B S s ( z ) exp { 2 z z s [ α m ( z ' ) + α i 1 p , s ( z ' ) ] d z ' } β m ( z )
α p , j i ( z ) = S ( z ) β i p , j ( z )
F ( S k ) = z = z b z = z t [ β p , g ( z ) β p , s ( z ) ] 2
σ S 2 = σ F 2 ( F S ) 2
Select as filters


Select Topics Cancel
© Copyright 2024 | Optica Publishing Group. All rights reserved, including rights for text and data mining and training of artificial technologies or similar technologies.