Case study of inhomogeneous cloud parameter retrieval from MODIS data - Université Clermont Auvergne Accéder directement au contenu
Article Dans Une Revue Geophysical Research Letters Année : 2005

Case study of inhomogeneous cloud parameter retrieval from MODIS data

Résumé

Cloud parameter retrieval of inhomogeneous and fractional clouds is performed for a stratocumulus scene observed by MODIS at a solar zenith angle near 60°. The method is based on the use of neural network technique with multispectral and multiscale information. It allows to retrieve six cloud parameters, i.e. pixel means and standard deviations of optical thickness and effective radius, fractional cloud cover, and cloud top temperature. Retrieved cloud optical thickness and effective radius are compared to those retrieved with a classical method based on the homogeneous cloud assumption. Subpixel fractional cloud cover and optical thickness inhomogeneity are compared with their estimates obtained from 250m pixel observations; this comparison shows a fairly good agreement. The cloud top temperature appears also retrieved quite suitably.

Mots clés

Fichier principal
Vignette du fichier
2005GL022791.pdf (4.77 Mo) Télécharger le fichier
Origine : Fichiers éditeurs autorisés sur une archive ouverte

Dates et versions

hal-00077819 , version 1 (12-02-2021)

Identifiants

Citer

Céline Cornet, Jean-Claude Buriez, J. Riedi, Harumi Isaka, Bernard Guillemet. Case study of inhomogeneous cloud parameter retrieval from MODIS data. Geophysical Research Letters, 2005, 32 (13), pp.13. ⟨10.1029/2005GL022791⟩. ⟨hal-00077819⟩
139 Consultations
22 Téléchargements

Altmetric

Partager

Gmail Facebook X LinkedIn More