Paper
8 December 1999 New entropic regularization technique for temperature profiling
Fernando M. Ramos, Haroldo F. Campos Velho, Joao C. Carvalho, Nelson J. Ferreira
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Abstract
In this paper a new regularization technique is introduced and applied to the problem of retrieval of vertical temperature profiles in the atmosphere from remote sensing data. This is a key issue in Meteorology since it provides an important input for weather forecasting models, mainly in the Southern Hemisphere, where there are large areas uncovered by data collecting ground stations. The new regularization technique is derived from the well known Maximum Entropy method, and is based on the maximization of the entropy of the vector of second-differences of the unknown parameters. Simulations using real satellite data achieved a good agreement with radiosonde measurements. Numerical simulations have also shown that the temperature profiles retrieved with the new technique are relatively independent on the choice of the initial guess.
© (1999) COPYRIGHT Society of Photo-Optical Instrumentation Engineers (SPIE). Downloading of the abstract is permitted for personal use only.
Fernando M. Ramos, Haroldo F. Campos Velho, Joao C. Carvalho, and Nelson J. Ferreira "New entropic regularization technique for temperature profiling", Proc. SPIE 3867, Satellite Remote Sensing of Clouds and the Atmosphere IV, (8 December 1999); https://doi.org/10.1117/12.373057
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Cited by 1 scholarly publication.
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KEYWORDS
Data modeling

Remote sensing

Satellites

Atmospheric sensing

Inverse problems

Profiling

Temperature metrology

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