6533b82efe1ef96bd12932d2

RESEARCH PRODUCT

Multi-Resolution error analysis of predicted absorption coefficients. Method and application to the infrared spectrum of methane at high temperature.

Ch. WengerJean-paul Champion

subject

Work (thermodynamics)010504 meteorology & atmospheric sciencesContext (language use)Absorption coefficient02 engineering and technology01 natural sciencesPosition (vector)0202 electrical engineering electronic engineering information engineeringAbsorption (electromagnetic radiation)Spectroscopy0105 earth and related environmental sciencesRemote sensingLine (formation)Physics[PHYS.PHYS.PHYS-AO-PH]Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Propagation of uncertaintyRadiationHigh temperatureAtomic and Molecular Physics and OpticsComputational physics[ PHYS.PHYS.PHYS-AO-PH ] Physics [physics]/Physics [physics]/Atmospheric and Oceanic Physics [physics.ao-ph]Error analysisAttenuation coefficient020201 artificial intelligence & image processingVibration-rotation spectroscopyHigh-resolutionInfraredMethaneEnergy (signal processing)

description

La version V2 inclut les modifications proposées par les reviewers.; International audience; A general method for the estimation of the confidence interval of molecular absorption coefficients is presented. Statistical numerical experiments are implemented to quantify the propagation of errors from line parameters to absorption coefficients or cross-sections as a function of the resolution. The method uses line parameter predictions (position and intensity) with estimated uncertainties derived from global polyad models. This work is especially intended to provide expert information for applications requiring theoretical predictions for which the present state of the art of line by line high-resolution modeling is not accurate enough to meet the desired precision. As an illustration, it is applied to predict the absorption coefficient of methane at high temperature involving simultaneously well known lower energy levels (cold bands) and higher energy levels with much lower precisions (hot bands). Potential extensions are discussed in the context of atmospheric remote sensing of astrophysical objects.

https://hal.archives-ouvertes.fr/hal-00473611v2/document