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Applied Optics

Applied Optics

APPLICATIONS-CENTERED RESEARCH IN OPTICS

  • Vol. 42, Iss. 32 — Nov. 10, 2003
  • pp: 6465–6473

Comparison of measurements made with two different instruments of the same atmospheric vertical profile

Simone Ceccherini, Bruno Carli, Enzo Pascale, Maria Prosperi, Piera Raspollini, and Bianca M. Dinelli  »View Author Affiliations


Applied Optics, Vol. 42, Issue 32, pp. 6465-6473 (2003)
http://dx.doi.org/10.1364/AO.42.006465


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Abstract

The validation of atmospheric remote-sensing measurements involves the comparison of vertical profiles of atmospheric constituents obtained by different instruments. This operation is a complex one because it has to take into account the measurement errors that are described by the variance-covariance matrices and the different features of the two observing systems that are described by the averaging kernels. The procedure is discussed and a method of comparison that is rigorous and does not involve degradation of the available information is developed by use of the formalism of functional spaces. The functional spaces that can be used for representation of the two profiles are reviewed, and criteria are determined for the choice of the most convenient functional space to minimize degradation of the measurements. Once the functional spaces are chosen, the components of the profiles are compared in the intersection space of these two functional spaces. If the intersection space coincides with the null vector, a pseudointersection space with useful geometrical properties can be used instead. A test of the method is made with a realistic simulation. In the test the profiles retrieved by two real instruments are simulated and quantitatively compared.

© 2003 Optical Society of America

OCIS Codes
(010.1280) Atmospheric and oceanic optics : Atmospheric composition
(100.3190) Image processing : Inverse problems
(120.0280) Instrumentation, measurement, and metrology : Remote sensing and sensors

History
Original Manuscript: February 21, 2003
Revised Manuscript: August 8, 2003
Published: November 10, 2003

Citation
Simone Ceccherini, Bruno Carli, Enzo Pascale, Maria Prosperi, Piera Raspollini, and Bianca M. Dinelli, "Comparison of measurements made with two different instruments of the same atmospheric vertical profile," Appl. Opt. 42, 6465-6473 (2003)
http://www.opticsinfobase.org/ao/abstract.cfm?URI=ao-42-32-6465


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References

  1. C. D. Rodgers, Inverse Methods for Atmospheric Sounding: Theory and Practice (World Scientific, Singapore, 2000).
  2. C. D. Rodgers, B. J. Connor, “Intercomparison of remote sounding instruments,” J. Geophys. Res. 108, 4116–4130 (2003). [CrossRef]
  3. S. Twomey, Introduction to the Mathematics of Inversion in Remote Sensing and Indirect Measurements (Elsevier, New York, 1977).
  4. P. E. Gill, W. Murray, M. H. Wright, Practical Optimization (Academic, San Diego, Calif., 1981).
  5. W. Menke, Geophysical Data Analysis: Discrete Inverse Theory (Academic, San Diego, Calif., 1984).
  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), pp. 111–124.
  7. B. Carli, P. Raspollini, M. Ridolfi, B. M. Dinelli, “Discrete representation and resampling in limb-sounding measurements,” Appl. Opt. 40, 1261–1268 (2001). [CrossRef]
  8. M. Bertero, P. Boccacci, Introduction to Inverse Problems in Imaging (IOP Publishing, Bristol, UK, 1998). [CrossRef]
  9. A. J. Van der Veen, S. Talwar, A. Paulraj, “A subspace approach to blind space-time signal processing for wireless communication systems,” IEEE Trans. Signal Proc. 45, 173–190 (1997). [CrossRef]
  10. European Space Agency, “ENVISAT-MIPAS: an instrument for atmospheric chemistry and climate research,” document ESA SP-1229 (European Space Agency, European Space Research and Technology Centre, Noordwijk, The Netherlands, 2000).
  11. M. Endemann, “MIPAS instrument concept and performance,” in Proceedings of the European Symposium on Atmospheric Measurements from Space, ESA Earth Science Division, ed. (European Space Agency, European Space Research and Technology Centre, Noordwijk, The Netherlands, 1999), Vol. 1, pp. 29–43.
  12. M. Ridolfi, B. Carli, M. Carlotti, T. v. Clarmann, B. M. Dinelli, A. Dudhia, J.-M. Flaud, M. Hopfner, P. E. Morris, P. Raspollini, G. Stiller, R. J. Wells, “Optimized forward model and retrieval scheme for MIPAS near-real-time data processing,” Appl. Opt. 39, 1323–1340 (2000). [CrossRef]
  13. B. Carli, F. Mencaraglia, A. Bonetti, “Submillimiter high resolution FT spectrometer for atmospheric studies,” Appl. Opt. 23, 2594–2603 (1984). [CrossRef]
  14. W. H. Press, S. A. Teukolsky, W. T. Wetterling, B. P. Flannerly, Numerical Recipes in fortran, 2nd ed. (Cambridge U. Press, Cambridge, 1992).

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