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The Problem of Retrieving Atmospheric Parameters from Radiative Observations

Keywords

Inverse Problem Ocean Physics Direct Problem Atmospheric Parameter Atmospheric Optic 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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References

  1. Anderson TW (1971) The Statistical Analysis of Time Series. Wiley, New YorkGoogle Scholar
  2. Box GEP, Jenkins GM (1970) Time series analysis. Forecasting and control. Holden-day, San FranciscoGoogle Scholar
  3. Chu WP, Chiou EW, Larsen JC et al. (1993) Algorithms and sensitivity analyses for Stratospheric Aerosol and Gas Experiment II water vapor retrieval. J Geoph Res 98(D3):4857–4866Google Scholar
  4. Chu WP, McCormick MP, Lenoble J et al. (1989) SAGE II Inversion algorithm. J Geoph Res 94(D6):8339–8351Google Scholar
  5. Cramer H (1946) Mathematical Methods of Statistics. StockholmGoogle Scholar
  6. Elsgolts LE (1969) Differential equation and variation calculus. Nauka, Moscow (in Russian)Google Scholar
  7. Gorelik AL, Skripkin VA (1989) Methods of recognition. High School, Moscow (in Russian)Google Scholar
  8. Ilyin VA, Pozdnyak EG (1978) Linear algebra. Nauka, Moscow (in Russian)Google Scholar
  9. Kalinkin NN (1978) Numerical methods. Nauka, Moscow (in Russian)Google Scholar
  10. Kaufman YJ, Tanre D (1998) Algorithm for remote sensing of tropospheric aerosol form MODIS. Product ID: MOD04, (report in electronic form)Google Scholar
  11. Kolmogorov AN, Fomin SV (1999) Elements of the theory function and the functional analysis. Dover PublicationsGoogle Scholar
  12. Kondratyev KYa, Timofeyev YuM (1970) Thermal sounding of the atmosphere from satellites. Gydrometeoizdat, Leningrad (in Russian)Google Scholar
  13. Kozlov VP (2000) Selected works on the theory of the experiment planning and inverse problems of the optical sounding. St. Petersburg University Press, St. Petersburg (in Russian)Google Scholar
  14. Mironenkov AV, Poberovskiy AV, Timofeyev YuM (1996) The methodics of the interpretation of infrared spectra of the direct solar radiation for definition of the total content of atmospheric gases. Izv. RAS, Atmospheric and Ocean Physics 32:207–215 (Bilingual)Google Scholar
  15. Otnes RK, Enochson L (1978) Applied Time-Series Analysis. Toronto. Wiley, New YorkGoogle Scholar
  16. Polyakov AV (1996) To the question of using a priori statistical information for the solution of nonlinear inverse problems of the atmospheric optics. Earth Observations and Remote Sensing 3:11–17 (Bilingual)Google Scholar
  17. Polyakov AV, Timofeyev YuM, Poberovskiy AV, Vasilyev AV (2001) Retrieval of vertical profiles of coefficients of aerosol extinction in the stratosphere from results of Ozon-Mir instruments measurements. Izv. RAS, Atmospheric and Ocean Physics 37:213–222 (Bilingual)Google Scholar
  18. Potapova IA (2001) The method for the interpretation of data of Lidar sounding of aerosols. Thesis on III Int Conf “Natural and anthropogenic aerosols”, 2001, St. Petersburg. Chemistry Institute, St. Petersburg University Press, pp 57 (in Russian)Google Scholar
  19. Prasolov AV (1995) Analytical and numerical methods of dynamic processes studying. St. Petersburg University Press, St. Petersburg (in Russian)Google Scholar
  20. Rodgers CD (1976) Some theoretical aspects of remote sounding in the Earth’s atmosphere. J Quant Spectroscopy Radiative Transfer 11:767–777CrossRefGoogle Scholar
  21. Romanov PYu, Rozanov VV, Timofeyev YuM (1989) On accuracy of functionals retrieval from microphysical characteristics of stratospheric aerosols by cosmic observations of the atmospheric transmission and solar areole. Earth Observations and Remote Sensing, pp 35–42 (Bilingual)Google Scholar
  22. Steele HM, Turco RP (1997) Separation of aerosol and gas components in the Halogen Occultation Experiment and the Stratospheric Aerosol and Gas Experiment (SAGE) II extinction measurements: Implication for SAGE II ozone concentrations and trends. J Geoph Res 102(D16):19665–19681CrossRefGoogle Scholar
  23. Tikhonov AN (1943) On stability of inverse problems. Dokl. Acad. Sci. USSR 39:195–198 (in Russian)Google Scholar
  24. Tikhonov AN, Aresnin VYa (1986) Methods of solution no correct problem. Nauka, Moscow (in Russian)Google Scholar
  25. Timofeyev YuM (1998) On inverse problems of the atmospheric optics. Izv. RAS Atmosphere and Ocean Physics 34:793–798 (Bilingual)Google Scholar
  26. Timofeyev YuM, Rozanov VV, Poberovskiy AV, Polyakov AV (1986) Multispectral method of definition of vertical profiles of O3, NO2 content and aerosol extinction of the radiation in the atmosphere. Meteorology and Hydrology, pp 66–73 (in Russian)Google Scholar
  27. Vasilyev FP (1988) Numerical methods of extremal problems solution. Nauka, Moscow (in Russian)Google Scholar
  28. Vasilyev OB, Vasilyev AV (1994) The informatic providing of the retrieval of optical parameters for atmospheric layers from spectral irradiance observations at different levels in the atmosphere. III. The obtaining of optical parameters in the inhomogeneous multilayer atmosphere (numerical experiment). Atmospheric and Ocean Optics 7:625–632 (Bilingual)Google Scholar
  29. Virolainen YaA (2000) Ground observations of heat IR radiation as an informational source about gas composition of the atmosphere. Candidate Thesis, St. Petersburg (in Russian)Google Scholar
  30. Westwater ER, Strand ON (1968) Statistical information content of radiation measurements used in indirect sensing. J Atm Sci 25:750–758CrossRefGoogle Scholar
  31. Zuev VE, Naats IE (1990) Inverse problems of the atmospheric optics. (Recent problems of the atmospheric optics, vol 7). Gydrometeoizdat, Leningrad (in Russian)Google Scholar

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