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.
Type de document :
Communication dans un congrès
PAPPALARDO, G. ; AMODEO, A. 22. International Laser Radar Conference, Jul 2004, Matera, Italy. ESA publications division. Noordwijk, pp.349-352, 2004
Liste complète des métadonnées

Littérature citée [6 références]  Voir  Masquer  Télécharger

https://hal-ineris.archives-ouvertes.fr/ineris-00972471
Contributeur : Gestionnaire Civs <>
Soumis le : jeudi 3 avril 2014 - 16:28:57
Dernière modification le : mardi 29 mai 2018 - 12:50:41
Document(s) archivé(s) le : jeudi 3 juillet 2014 - 17:46:36

Fichier

2004-139_hal.pdf
Fichiers produits par l'(les) auteur(s)

Identifiants

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

Collections

Citation

Emeric Frejafon, Sylvain Geffroy, Pierre Rairoux. Atmospheric aerosol size retrieval from LIDAR data applying genetic algorithm approach. PAPPALARDO, G. ; AMODEO, A. 22. International Laser Radar Conference, Jul 2004, Matera, Italy. ESA publications division. Noordwijk, pp.349-352, 2004. 〈ineris-00972471〉

Partager

Métriques

Consultations de la notice

187

Téléchargements de fichiers

154