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Applied Optics

Applied Optics


  • Vol. 45, Iss. 5 — Feb. 10, 2006
  • pp: 1000–1009

Shape-dependent regularization for the retrieval of atmospheric state parameter profiles

Jörg Steinwagner and Gottfried Schwarz  »View Author Affiliations

Applied Optics, Vol. 45, Issue 5, pp. 1000-1009 (2006)

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We present an adaptive regularization approach to retrieve vertical state parameter profiles from limb-sounding measurements with high accuracy. This is accomplished by introducing a dedicated regularization functional based on a reasonable assumption of the profile characteristics. The approach results in shape-dependent weighting during least-squares computations and relies on a Cholesky decomposition of a preselected L L T matrix. Our method is compared with established regularization functionals such as optimal estimation and Tikhonov with respect to errors and achievable height resolution. The results show an improved height resolution of the retrieved profiles together with a reduction of absolute and relative errors obtained by test-bed simulations.

© 2006 Optical Society of America

OCIS Codes
(000.3860) General : Mathematical methods in physics
(000.4430) General : Numerical approximation and analysis
(010.1280) Atmospheric and oceanic optics : Atmospheric composition
(100.3190) Image processing : Inverse problems
(120.0280) Instrumentation, measurement, and metrology : Remote sensing and sensors
(300.6340) Spectroscopy : Spectroscopy, infrared

ToC Category:
Atmospheric and Oceanic Optics

Original Manuscript: February 28, 2005
Revised Manuscript: June 20, 2005
Manuscript Accepted: June 24, 2005

Jörg Steinwagner and Gottfried Schwarz, "Shape-dependent regularization for the retrieval of atmospheric state parameter profiles," Appl. Opt. 45, 1000-1009 (2006)

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