Verification of an Algorithm for Processing Data from Multifrequency Lidar Sensing of Aerosols

We consider an algorithm for processing lidar signals, which for a lidar path with constant qualitative aerosol characteristics (particle size distribution in each aerosol mode, complex refractive index of the particles) lets us obtain a concentration profile for the fine aerosol component without u...

Full description

Saved in:
Bibliographic Details
Published in:Journal of applied spectroscopy 2018-07, Vol.85 (3), p.499-505
Main Authors: Lisenko, S. A., Khomich, V. V.
Format: Article
Language:English
Subjects:
ABUNDANCE
AEROSOLS
Airborne particulates
ALGORITHMS
Analytical Chemistry
Atmospheric physics
Atomic/Molecular Structure and Spectra
DATA PROCESSING
ENGINEERING
FINE PARTICLES
INSTRUMENTATION RELATED TO NUCLEAR SCIENCE AND TECHNOLOGY
Lidar
OPTICAL RADAR
PARTICLE SIZE
Particle size distribution
PHOTOMETERS
Physics
Physics and Astronomy
Qualitative analysis
REFRACTIVE INDEX
Refractivity
Remote sensing
Signal processing
SIGNALS
SUN
Citations: Items that this one cites
Online Access:Get full text
Tags: Add Tag
No Tags, Be the first to tag this record!
Description
Summary:We consider an algorithm for processing lidar signals, which for a lidar path with constant qualitative aerosol characteristics (particle size distribution in each aerosol mode, complex refractive index of the particles) lets us obtain a concentration profile for the fine aerosol component without using additional a priori information. The algorithm was verified based on lidar data from the Institute of Physics (National Academy of Sciences of Belarus). The vertical volume concentration profile for fine particles obtained by our algorithm is quite consistent with the results of its independent retrieval, based on integrated processing of lidar and sun photometer data.
ISSN:0021-9037
1573-8647
DOI:10.1007/s10812-018-0679-4