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Proceedings Paper

Retrieval of water vapor and temperature profiles from radio occultation measurements by combination of ANN and iterative method
Author(s): Xin Wang; Daren Lu
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Paper Abstract

A combining retrieval method of radio occultation measurements is presented. Vertical profiles of water vapor and temperature are retrieved from radio occultation bending angles with a new method combining the artificial neural network and iterative method. We used a feedforward full-connected network based on the back-propagation algorithm to retrieve the water vapor profiles in the troposphere. The network was trained by paired bending angle and water vapor pressure profiles from CHAMP. The month latitude altitude and bending angle were used as the input vectors and the water vapor pressure as the output vector. The profile of water vapor pressure retrieved by the ANN was applied to the iterative procedure that exploits the constrains on temperature and water vapor pressure mandated by the ideal gas law and the equation ofhydrostatic equilibrium. The vertical distribution of temperature was calculated.

Paper Details

Date Published: 12 May 2005
PDF: 11 pages
Proc. SPIE 5832, Optical Technologies for Atmospheric, Ocean, and Environmental Studies, (12 May 2005); doi: 10.1117/12.619758
Show Author Affiliations
Xin Wang, Institute of Atmospheric Physics, CAS (China)
Daren Lu, Institute of Atmospheric Physics, CAS (China)

Published in SPIE Proceedings Vol. 5832:
Optical Technologies for Atmospheric, Ocean, and Environmental Studies
Daren Lu; Gennadii G. Matvienko, Editor(s)

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