Vol. 16, issue 07, article # 2

Gribanov K. G., Zakharov V. I., Toptygin A. Yu. Retrieval of temperature and humidity profiles from the Earth's IR spectra based on singular decomposition of covariance matrices . // Atmospheric and oceanic optics. 2003. V. 16. No. 07. P. 530-535.    PDF
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Abstract:

An economic algorithm for retrieval of atmospheric temperature and humidity profiles from high-resolution Earth's IR spectra obtained from space is developed. It is based on representation of the solution sought by a series expansion in terms of eigenvectors of the covariance matrix constructed on a set of probe measurement data. The coefficients of this series expansion are determined in the process of solution of inverse IR radiative transfer equation. Approximation of the solution by several first terms of the series decreases the dimension of the inverse problem and, consequently, the time of computation without loss in accuracy. Test retrievals showed that the method is resistant to measurement noise with the level reported for ADEOS/IMG, and errors in temperature and water vapor concentration retrievals in the lower troposphere are no greater than 1K and 10%, respectively.