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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 33, Iss. 15 — May. 20, 1994
  • pp: 3237–3249

Approach to the design and data analysis of a limb-scanning experiment

Massimo Carlotti and Bruno Carli  »View Author Affiliations


Applied Optics, Vol. 33, Issue 15, pp. 3237-3249 (1994)
http://dx.doi.org/10.1364/AO.33.003237


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Abstract

The design of spectroscopic measurements of the atmosphere with the limb-scanning technique for the retrieval of constituent altitude profiles requires choosing instrumental, observational, and retrieval parameters. An approach to this problem is discussed, and the mathematical tools that make it possible to study the trade-off between the two conflicting requirements of optimum vertical resolution and small error of the profile are derived. As a first illustrative application, implementation of the mathematical tools in the design of measurements to be carried out from a satellite platform is shown; a set of parameters that provide a satisfactory compromise between the vertical resolution and the uncertainties of the retrieved profile has been identified. The mathematical model discussed can simulate the results obtained with retrieval techniques that are based on the global inversion of the kernel that relates the observations and the unknown profile. As a second application, a comparison between the a priori estimate of the uncertainties provided by the mathematical tools and the results of the global analysis of data collected with a balloon-borne experiment is shown.

© 1994 Optical Society of America

History
Original Manuscript: December 18, 1992
Revised Manuscript: September 20, 1993
Published: May 20, 1994

Citation
Massimo Carlotti and Bruno Carli, "Approach to the design and data analysis of a limb-scanning experiment," Appl. Opt. 33, 3237-3249 (1994)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-33-15-3237


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References

  1. M. Carlotti, “Global-fit approach to the analysis of limb-scanning atmospheric measurements,” Appl. Opt. 27, 3250–3254(1988). [CrossRef] [PubMed]
  2. W. Menke, Geophysical Data Analysis: Discrete Inverse Theory (Academic, San Diego, Calif., 1984).
  3. C. D. Rodgers, “Characterization and error analysis of profiles retrieved from remote sounding measurements,” J. Geophys. Res. 95, 5587–5595 (1990). [CrossRef]
  4. B. Carli, M. Carlotti, “Far-infrared and microwave spectroscopy of the Earth’s atmosphere,” in The Spectroscopy of the Earth’s Atmosphere and Interstellar Medium, K. N. Rao, A. Weber, eds. (Academic, San Diego, Calif., 1992), pp. 1–95.
  5. G. E. Backus, J. F. Gilbert, “Uniqueness in the inversion of inaccurate gross Earth data,” Philos. Trans. R. Soc. London Ser. A 266, 123–192 (1970). [CrossRef]
  6. R. E. Kalman, “Algebraic aspects of the generalized inverse of a rectangular matrix,” in Proceedings of Advanced Seminar on Generalized Inverse and Applications, M. Z. Nashed, ed. (Academic, San Diego, Calif., 1976), p. 111.
  7. M. Carlotti, A. Barbis, B. Carli, “Stratospheric ozone vertical distribution from far-infrared balloon spectra and statistical analysis of the errors,” J. Geophys. Res. 94, 16365–16371 (1989). [CrossRef]

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