作者: C. Carvalho , Fernando M. Ramos , Nelson J. Ferreira , Haroldo F. Campos
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摘要: ABSTRACT In this paper a new regularization technique is introducedand applied to the problem of retrieval vertical temperatureprofiles in atmosphere from remote sensing data. This akey issue Meteorologysince it provides an important input forweather forecasting models, mainly Southern Hemisphere,where there are large areas uncovered by data collecting groundstations. The derived thewell knownMaximumEntropymethod,and based on max-imization entropy vector second-differences ofthe unknown parameters. Simulations using real satellite dataachieved good agreement with radiosonde measurements. Nu-merical simulations have also shown that temperature pro-files retrieved relatively independenton choice initial guess. INTRODUCTION Basic most techniques idea restor-ing well-posedness original restricting theclass admissible solutions help suitable