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In this paper the first step towards the development of a total attenuation time series generator is presented. In particular, we focus on the characterization of the Liquid Water and Water Vapor Contents time series and on the identification of the embedded rainy periods. The main database used for this task is constituted by 7 years of measurements by a two-channel microwave radiometer at 23.8 and...
<?Pub Dtl?>A physically-based parametric model (PPM) to predict the sky-noise temperature in all weather conditions is proposed. The proposed prediction model is based on the non-linear regression fit of numerical simulations derived from the sky-noise eddington radiative-transfer model (SNEM) in an absorbing and scattering medium such as gaseous, cloudy and rainy atmosphere. The PPM prediction...
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