Retrieval of water vapor and temperature profiles from radio occultation measurements by combination of ANN and iterative method

Xin Wang; Daren Lu

doi:10.1117/12.619758

12 May 2005 Retrieval of water vapor and temperature profiles from radio occultation measurements by combination of ANN and iterative method

Xin Wang, Daren Lu

Author Affiliations +

Proceedings Volume 5832, Optical Technologies for Atmospheric, Ocean, and Environmental Studies; (2005) https://doi.org/10.1117/12.619758
Event: Optical Technologies for Atmospheric, Ocean, and Environmental Studies, 2004, Beijing, China

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.

Citation Download Citation

Xin Wang and Daren Lu "Retrieval of water vapor and temperature profiles from radio occultation measurements by combination of ANN and iterative method", Proc. SPIE 5832, Optical Technologies for Atmospheric, Ocean, and Environmental Studies, (12 May 2005); https://doi.org/10.1117/12.619758

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