Improvement of Raman lidar techniques for quantifying aerosol extinction

F. Russo; D. N. Whiteman; B. Demoz; R. M. Hoff

doi:10.1117/12.620137

12 September 2005 Improvement of Raman lidar techniques for quantifying aerosol extinction

F. Russo, D. N. Whiteman, B. Demoz, R. M. Hoff

Proceedings Volume 5887, Lidar Remote Sensing for Environmental Monitoring VI; 588712 (2005) https://doi.org/10.1117/12.620137
Event: Optics and Photonics 2005, 2005, San Diego, California, United States

Abstract

The work described here reports on the improvement of a Raman lidar algorithm for measuring aerosol extinction. In order to calculate aerosol extinction from Raman lidar data it is necessary to perform the derivative of a molecular Raman signal with respect to altitude. The typical approach taken in the lidar community is to make an a priori assumption about the functional behavior of the data in order to calculate the derivative. Here a technique is shown that uses the chi-squared test to determine the most likely functional behavior of the data prior to actually calculating the derivative. A mathematical simulation is described that shows the capabilities of this technique and the possibility of reducing the extinction uncertainties with respect to traditional techniques.

Citation Download Citation

F. Russo, D. N. Whiteman, B. Demoz, and R. M. Hoff "Improvement of Raman lidar techniques for quantifying aerosol extinction", Proc. SPIE 5887, Lidar Remote Sensing for Environmental Monitoring VI, 588712 (12 September 2005); https://doi.org/10.1117/12.620137

ACCESS THE FULL ARTICLE

INSTITUTIONAL
Select your institution to access the SPIE Digital Library.

SELECT YOUR INSTITUTION

PERSONAL
Sign in with your SPIE account to access your personal subscriptions or to use specific features such as save to my library, sign up for alerts, save searches, etc.

PERSONAL SIGN IN

No SPIE Account? Create one

PURCHASE THIS CONTENT

SUBSCRIBE TO DIGITAL LIBRARY

50 downloads per 1-year subscription

Members: $195

Non-members: $335 ADD TO CART

25 downloads per 1 - year subscription

Members: $145

Non-members: $250 ADD TO CART

PURCHASE SINGLE ARTICLE

Includes PDF, HTML & Video, when available