Skip to Main content Skip to Navigation
Conference papers

Atmospheric aerosol size retrieval from LIDAR data applying genetic algorithm approach

Abstract : In this paper we present a novel approach using a genetic algorithm (GA) to solve the LIDAR "ill-problem". It is inverting aerosol size distribution from multi-wavelengths Lidar data in the UV-VIS-IR spectral range. This method do not need any predefined size distribution shape and is also running with data having poor S/N. Numerical convergence test of the GA have been done on both simulated data and on Lidar field measurements performed during the French POVA Campaign. It shows that size distribution is retrieved in millisecond rage, which represent a considerably decreasing in computing time consuming. Comparison between GA size distribution retrieval and SMPS ground-based measurements has been done showing an excellent agreement.
Document type :
Conference papers
Complete list of metadatas

Cited literature [6 references]  Display  Hide  Download

https://hal-ineris.archives-ouvertes.fr/ineris-00972471
Contributor : Gestionnaire Civs <>
Submitted on : Thursday, April 3, 2014 - 4:28:57 PM
Last modification on : Friday, April 3, 2020 - 1:12:57 AM
Long-term archiving on: : Thursday, July 3, 2014 - 5:46:36 PM

File

2004-139_hal.pdf
Files produced by the author(s)

Identifiers

  • HAL Id : ineris-00972471, version 1
  • INERIS : PU-2004-139

Collections

Citation

Emeric Frejafon, Sylvain Geffroy, Patrick Rairoux. Atmospheric aerosol size retrieval from LIDAR data applying genetic algorithm approach. 22. International Laser Radar Conference, Jul 2004, Matera, Italy. pp.349-352. ⟨ineris-00972471⟩

Share

Metrics

Record views

239

Files downloads

189