Paper
31 October 1996 Data processing and sensitivity studies of the GOMOS instrument
Johanna Tamminen, Elina Sihvola, Heikki Haario
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Abstract
The data processing of the global ozone monitoring by occultation of stars instrument separates naturally into two parts. The nonlinear spectral inversion retrieves the horizontally integrated gas densities. The vertical profiles of the gases are retrieved by using the generalized onion peeling method. The Markov chain Monte Carlo method has been used to calculate the posteriori distribution of the spectral inversion problem. This method was found to be simple and straightforward in analyzing the real posteriori distribution and confidence regions of the retrievals.
© (1996) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Johanna Tamminen, Elina Sihvola, and Heikki Haario "Data processing and sensitivity studies of the GOMOS instrument", Proc. SPIE 2830, Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research II, (31 October 1996); https://doi.org/10.1117/12.256134
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Cited by 1 scholarly publication.
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KEYWORDS
Ozone

Monte Carlo methods

Data processing

Stars

Atmospheric modeling

NOx

Spectrometers

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