SSM T FORWARD MODELING USING NEURAL NETWORKS

Authors
RIEU H ESCOBAR J SCOTT NA CHEDIN A
Citation
H. Rieu et al., SSM T FORWARD MODELING USING NEURAL NETWORKS, Journal of quantitative spectroscopy & radiative transfer, 56(6), 1996, pp. 821-833
Citations number
16
Categorie Soggetti
Spectroscopy
Journal title
Journal of quantitative spectroscopy & radiative transfer → ACNP
ISSN journal
00224073
Volume
56
Issue
6
Year of publication
1996
Pages
821 - 833
Database
ISI
SICI code
0022-4073(1996)56:6<821:STFMUN>2.0.ZU;2-#
Abstract
An original approach of the forward radiative transfer modelling of sp ace radiometric observations is presented and applied to the atmospher ic vertical temperature sounder SSM/T (Special Sensor Microwave/Temper ature) measurements. This approach relies on multi-layer neural networ ks and is compared to ''classical'' methods. This study has been reali zed not in a simulation context but with real data from radiosondes an d the SSM/T instrument. Copyright (C) 1996 Elsevier Science Ltd