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The Correlation Features of the Inverse Problem Solution in Atmospheric Remote Sensing

  • O. M. Pokrovsky
Conference paper
Part of the NATO Science Series book series (NAIV, volume 26)

Abstract

There are two different approaches to retrieve the air temperature and humidity fields from remote sensing data. One approach is a conventional one and it based on 1-D inverse problem solution. This approach assumes the two-stage procedure: vertical profile retrieval from radiance data and optimal interpolation of retrieval values. Another approach is based on the irradiance data direct assimilation within the objective analysis of these fields. The first approach is more widely used because of the international distribution of SATEM data through the meteorological data network. But, unfortunately, the retrieved temperature and atmospheric constituents profiles contain highly correlated noise components that prevents the increase of the satellite data information content along with sensor sensitivity improvement.

Keywords

Inverse Problem Vertical Profile Spectral Band Transmittance Function Optimal Interpolation 
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

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Copyright information

© Springer Science+Business Media Dordrecht 2003

Authors and Affiliations

  • O. M. Pokrovsky
    • 1
  1. 1.Main Geophysical ObservatorySt.PetersburgRussia

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