Ricerc@Sapienza

The effects of the scattering troposphere on propagating signals are important for several
microwave applications such as remote sensing and telecommunication. In particular, passive
remote sensing exploits ground-based radiometers to retrieve profile information of the
atmosphere. On the other hand, telecommunication applications (e.g., satellite communications)
require an accurate estimation of the atmospheric effects to minimize the outage probability of
the link.

The aim of this work is to present a parametric model for the prediction of the down-welling mean radiative temperature (Tmr) in the microwave region. For the model setup, the Sky Noise Eddington Model has been exploited to generate a synthetic clouds dataset driven by radiosounding observations.