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Proceedings Paper

The tomography algorithm for ozone retrieval from the NPOESS OMPS limb measurements
Author(s): Boris Z. Petrenko; Jack C. Larsen; Arya Akmal
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Paper Abstract

The Ozone Mapping and Profiler Suite (OMPS), which is a component of the National Polar-Orbiting Environmental Satellite System (NPOESS), will provide high-resolution vertical ozone profiles in the atmosphere from limb measurements of scattered solar radiation retrieved from limb-geometry measurements of scattered solar radiation in the ultraviolet, visible and near-infrared spectral ranges. Due to the_long path of scattered limb radiation through the atmosphere, ozone variations along the line of sight can have a significant impact on the measured radiance and, if not accounted for, result in significant deterioration of retrieval accuracy. In this paper we describe a tomographic retrieval algorithm, which accounts for the effects of horizontal ozone variations on the target ozone profile retrieval by restoring a fragment of the 2D ozone distribution in the neighborhood of the target profile. Our simulated retrievals of realistic 2D ozone distributions demonstrates that the tomographic algorithm provides remarkably better retrieval accuracy than the baseline 1D algorithm, which neglects horizontal ozone inhomogeneities. Special measures are taken to reduce the tomographic inversion execution time. We demonstrate that acceptable execution times can be achieved if fragments of the ozone field are retrieved sequentially along a satellite orbit.

Paper Details

Date Published: 3 November 2003
PDF: 9 pages
Proc. SPIE 5157, Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research V, (3 November 2003); doi: 10.1117/12.507525
Show Author Affiliations
Boris Z. Petrenko, Raytheon ITSS (United States)
Jack C. Larsen, Raytheon ITSS (United States)
Arya Akmal, Raytheon ITSS (United States)


Published in SPIE Proceedings Vol. 5157:
Optical Spectroscopic Techniques and Instrumentation for Atmospheric and Space Research V
Allen M. Larar; Joseph A. Shaw; Zhaobo Sun, Editor(s)

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