Optimized forward model and retrieval scheme for MIPAS near-real-time data processing

Applied Optics

Volumn 39, Issue 8, 2000, Pages 1323-1340

  Ridolfi, Marco ^a,b   Carli, Bruno ^a,b   Carlotti, Massimo ^a,c   Von Clarmann, Thomas ^a,d   Dinelli, Bianca M ^a,e   Dudhia, Anu ^a,f   Flaud, Jean Marie ^a,g   Höpfner, Michael ^a,d   Morris, Paul E ^a,f   Raspollini, Piera ^a,b   Stiller, Gabriele ^a,d   Wells, Robert J ^a,f  

^a SICHUAN UNIVERSITY   (China)

^b IFAC CNR   (Italy)

^c UNIVERSITY OF BOLOGNA   (Italy)

^d KARLSRUHE INSTITUTE OF TECHNOLOGY   (Germany)

^e CNR   (Italy)

^f UNIVERSITY OF OXFORD   (United Kingdom)

^g CNRS   (France)

Author keywords

[No Author keywords available]

Indexed keywords

MATHEMATICAL MODELS; REAL TIME SYSTEMS; SATELLITES; SPACE STATIONS;

VOLUME MIXING RATIO (VMR);

INTERFEROMETERS;

EID: 0000677618     PISSN: 1559128X     EISSN: 21553165     Source Type: Journal    
DOI: 10.1364/AO.39.001323     Document Type: Article

References (37)

1. ESA, “ENVISAT—MIPAS: an instrument for atmospheric chemistry and climate research, ” ESA SP-1229 (European Space Agency, ESTEC, Noordwijk, The Netherlands, 2000).
2. 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, ESTEC, Noordwijk, The Netherlands, 1999), Vol. 1, pp. 29-43.
3. R. L. Lachance, “MIPAS level 1B algorithm technical baseline document: an overview, ” in Proceedings of the European Symposium on Atmospheric Measurements from Space, ESA Earth Science Division, ed. (European Space Agency, ESTEC, Noordwijk, The Netherlands, 1999), Vol. 1, pp. 51-63.
4. T. von Clarmann, A. Dudhia, G. Echle, J.-M. Flaud, C. Harrold, B. Kerridge, K. Koutoulaki, A. Linden, M. Lopez-Puertas, M. A. Lopez-Valverde, F. J. Martin-Torres, J. Reburn, J. Remedios, C. D. Rodgers, R. Siddans, R. J. Wells, and G. Zaragoza, “Study on the simulation of atmospheric infrared spectra, ” Final Report of ESA Contract Number 12054/96/NL/CN (European Space Agency, ESTEC, Noordwijk, The Netherlands, 1998).
5. G. Echle, T. von Clarmann, A. Dudhia, M. Lopez-Puertas, F. J. Martin-Torres, B. Kerridge, and J.-M. Flaud, “Spectral microwindows for MIPAS-ENVISAT data analysis, ” in Proceedings of the European Symposium on Atmospheric Measurements from Space, ESA Earth Science Division, ed. (European Space Agency, ESTEC, Noordwijk, The Netherlands, 1999), Vol. 2, pp. 481-485.
6. T. von Clarmann and G. Echle, “Selection of optimized microwindows for atmospheric spectroscopy, ” Appl. Opt. 37, 7661-7669 (1998).
7. M. Carlotti and M. Ridolfi, “Derivation of temperature and pressure from submillimetric limb observations, ” Appl. Opt. 38, 2398-2409 (1999).
8. T. von Clarmann, A. Linden, G. Echle, A. Wegner, H. Fischer, and M. Lopez-Puertas, in Proceedings of IRS ’96: Current Problems in Atmospheric Radiation, W. L. Smith and K. Stamnes, eds. (Deepak, Hampton, Va., 1997), pp. 557-560.
9. M. Carlotti, “Global-fit approach to the analysis of limb-scanning atmospheric measurements, ” Appl. Opt. 27, 3250-3254 (1988).
10. T. B. McKee, R. I. Whitman, and J. J. Lambiotte, Jr., “A technique to infer atmospheric water-vapor mixing ratio from measured horizon radiance profiles, ” NASA Rep. TN D-5252 (NASA, Washington, D.C., 1969).
11. A. Goldman and R. S. Saunders, “Analysis of atmospheric infrared spectra for altitude distribution of atmospheric trace constituents. I. Method of analysis, ” J. Quant. Spectrosc. Radiat. Transfer21, 155-162 (1979).
12. S. Twomey, Introduction to the Mathematics of Inversion in Remote Sensing and Indirect Measurements (Elsevier, New York, 1977).
13. P. E. Gill, W. Murray, and M. H. Wright, Practical Optimization (Academic, San Diego, Calif., 1981).
14. W. Menke, Geophysical Data Analysis: Discrete Inverse Theory (Academic, San Diego, Calif., 1984).
15. D. S. Sivia, Data Analysis: A Bayesian Tutorial (Clarendon, Oxford, UK, 1998).
16. R. E. Kalman, “Algebraic aspects of the generalized inverse of a rectangular matrix, ” in Proceedings ofAdvanced Seminar on Generalized Inverse and Applications, M. Z. Nashed, ed. (Academic, San Diego, Calif., 1976), pp. 111-124.
17. K. Levenberg, “A method for the solution of certain problems in least squares, ” Quart. Appl. Math. 2, 164-168 (1944).
18. D. W. Marquardt, “An algorithm for the least-squares estimation of nonlinear parameters, ” SIAM J. Appl. Math. 11, 431-441 (1963).
19. W. H. Press, S. A. Teukolsky, W. T. Wetterling, and B. P. Flannerly, Numerical Recipes in Fortran, 2nd ed. (Cambridge University, Cambridge, UK, 1992).
20. C. D. Rodgers, “Retrieval of atmospheric temperature and composition from remote measurements of thermal radiation, ” Rev. Geophys. Space Phys. 14, 609-624 (1976).
21. B. Edlen, “The refractive index of air, ” Metrologia 2, 71-80 (1966).
22. U.S. Government Document DMATR 8350.2, “Defense World Geodetic System 1984: its definition and relationship with local geodetic systems” (U.S. Department of Defense, Washington, D.C., 1994).
23. J. T. Houghton, The Physics of Atmospheres, 2nd ed. (Cambridge University, Cambridge, UK, 1986).
24. L. L. Strow, H. E. Motteler, R. G. Benson, S. E. Hannon, and S. De Souza-Machado, “Fast computation of monochromatic infrared atmospheric transmittances using compressed look-up tables, ” J. Quant. Spectrosc. Radiat. Transfer 59, 481-493 (1998).
25. R. J. Bell, Introductory Fourier Transform Spectroscopy (Academic, San Diego, Calif., 1972).
26. L. Delbouille and G. Roland, “Assessement of finite field-of-view effects on MIPAS ILS and review of resolution enhancement techniques, ” Answer to ESA NTO/ME/1573, Purchase Order 130-605 (University of Liege, Liege, Belgium, 1995).
27. R. H. Norton and R. Beer, “New apodizing functions for Fourier spectrometry, ” J. Opt. Soc. Am. 66, 259-264 (1976).
28. R. H. Norton and R. Beer, “New apodizing functions for Fourier spectrometry, ” errata 67, 419 (1977).
29. A. N. Tikhonov and V. Y. Arsenin, “Solutions of ill-posed problems, ” (Winston, Washington, D.C., 1977).
30. M. Carlotti and B. Carli, “Approach to the design and data analysis of a limb-scanning experiment, ” Appl. Opt. 33, 3237-3249 (1994).
31. T. von Clarmann, H. Fischer, and H. Oelhaf, “Instabilities in retrieval of atmospheric trace gas profiles caused by the use of atmospheric level models, ” Appl. Opt. 30, 2924-2925 (1991).
32. B. Carli, M. Ridolfi, P. Raspollini, B. M. Dinelli, A. Dudhia, and G. Echle, “Study of the retrieval of atmospheric trace gas profiles from infrared spectra, ” Final Report of ESA Study 12055-96-NL-CN (European Space Agency, ESTEC, Noordwijk, The Netherlands, 1998).
33. D. P. Edwards and L. L. Strow, “Spectral line shape considerations for limb temperature sounders, ” J. Geophys. Res. 96, 20859-20868 (1991).
34. P. W. Rosenkranz, “Shape of the 5 mm oxygen band in the atmosphere, ” IEEE Trans. Antennas Prop. AP-23, 498-506 (1975).
35. M. Lopez-Puertas, M. A. Lopez-Valverde, F. J. Martin-Torres, G. Zaragoza, A. Dudhia, T. von Clarmann, B. J. Kerridge, K. Koutoulaki, and J.-M. Flaud, “Non-LTE studies for the MIPAS instrument, ” in Proceedings of the European Symposium on Atmospheric Measurements from Space, ESA Earth Science Division, ed. (European Space Agency, ES-TEC, Noordwijk, The Netherlands, 1999), Vol. 1, pp. 257-264.
36. D. P. Edwards, “GENLN2: a general line-by-line atmo spheric transmittance and radiance model. Version 3.0 description and users guide, ” Report NCAR/TN-367+STR (National Center for Atmospheric Research, Boulder, Colo., 1992).
37. P. Edwards, “High level algorithm definition document of the MIPAS reference forward model, ” ESA Report PO-TN-OXF-GS-0004 (European Space Agency, ESTEC, Noordwijk, The Netherlands, 1997).