Title :

A new lidar inversion method using a surface reference target applied to the backscattering coefficient and lidar ratio retrievals of a fog-oil plume at short range

Author(s) :

Gaudfrin, Florian [Auteur]
Laboratoire d’Optique Atmosphérique - UMR 8518 [LOA]
DOTA, ONERA, Université de Toulouse [Toulouse]
LEUKOS
Pujol, Olivier [Auteur]
Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518
Ceolato, Romain [Auteur]
DOTA, ONERA, Université de Toulouse [Toulouse]
Huss, Guillaume [Auteur]
LEUKOS
Riviere, Nicolas [Auteur]
DOTA, ONERA, Université de Toulouse [Toulouse]

Journal title :

Atmospheric Measurement Techniques

Abbreviated title :

Atmos. Meas. Tech.

Volume number :

13

Pages :

-

Publication date :

2021-03-10

ISSN :

1867-1381

HAL domain(s) :

Planète et Univers [physics]/Océan, Atmosphère

English abstract : [en]

In this paper, a new elastic lidar inversion equation is presented. It is based on the backscattering signal from a surface reference target (SRT) rather than that from a volumetric layer of reference (Rayleigh molecular ...
Show more >In this paper, a new elastic lidar inversion equation is presented. It is based on the backscattering signal from a surface reference target (SRT) rather than that from a volumetric layer of reference (Rayleigh molecular scatterer) as is usually done. The method presented can be used when the optical properties of such a layer are not available, e.g., in the case of airborne elastic lidar measurements or when the lidar–target line is horizontal Also, a new algorithm is described to retrieve the lidar ratio and the backscattering coefficient of an aerosol plume without any a priori assumptions about the plume. In addition, our algorithm allows a determination of the instrumental constant. This algorithm is theoretically tested, viz. by means of simulated lidar profiles and then using real measurements. Good agreement with available data in the literature has been found.Show less >

Language :

Anglais

Audience :

Internationale

Popular science :

Non

Administrative institution(s) :

Université de Lille
CNRS

Collections :

• Laboratoire d'Optique Atmosphérique (LOA) - UMR 8518

Submission date :

2024-01-16T22:16:00Z
2024-02-07T09:19:37Z