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A FICTITIOUS-GAS BASED STATISTICAL NARROW-BAND MODEL FOR IR LONG-RANGE SENSING OF H2O AT HIGH TEMPERATURE

DOI: 10.1615/ICHMT.2001.RadiationSymp.200
8 pages

Anouar Soufiani
Laboratoire EM2C, CNRS, CentraleSupelec, Universite Paris Saclay, 3 rue Joliot Curie, 91192 Gif-sur-Yvette Cedex, France

Frederic Andre
Univ Lyon, CNRS, INSA-Lyon, Universite Claude Bernard Lyon 1, CETHIL UMR5008, F-69621, Villeurbanne, France

Jean Taine
Laboratoire d'Energetique Moleculaire et Macroscopique, Combustion, UPR 288 du CNRS et de l'ECP. Ecole Centrale Paris, 92295 Chatenay-Malabry Cedex, France

Abstract

An original approximate model, similar to Ludwig's multigroup statistical narrowband model, and to the fictitious gas CK model (CKFG) has been developed and validated to treat IR long-range sensing applications involving H2O as emitting and absorbing species. The main idea is to split the lines of a gas into N classes depending on the values of E", the energies of the lower levels of the transitions. The statistical narrow-band (SNB) model and the Curtis-Godson approximation are applied separately to each class. Parameters of the model have been extracted from an adjustment of the curves of growth obtained from line-by-line calculations. Relative errors of the model in typical conditions of atmospheric long-range sensing are about a few per cent by reference to line-by-line calculations, much smaller than errors due to a classical SNB approach in the same conditions.

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