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Proceedings Paper

New entropic regularization technique for temperature profiling
Author(s): Fernando M. Ramos; Haroldo F. Campos Velho; Joao C. Carvalho; Nelson J. Ferreira
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Paper 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.

Paper Details

Date Published: 8 December 1999
PDF: 9 pages
Proc. SPIE 3867, Satellite Remote Sensing of Clouds and the Atmosphere IV, (8 December 1999); doi: 10.1117/12.373057
Show Author Affiliations
Fernando M. Ramos, Instituto Nacional de Pesquisas Espaciais (Brazil)
Haroldo F. Campos Velho, Instituto Nacional de Pesquisas Espaciais (Brazil)
Joao C. Carvalho, Instituto Nacional de Pesquisas Espaciais (Brazil)
Nelson J. Ferreira, Instituto Nacional de Pesquisas Espaciais (Brazil)


Published in SPIE Proceedings Vol. 3867:
Satellite Remote Sensing of Clouds and the Atmosphere IV
Jaqueline E. Russell, Editor(s)

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