Although Earth-Space satellite communications are already using millimeter-wave bands for broadcasting, broadband services and Earth observation data download, there is always a push to use higher frequencies and higher data rates. The Ka and Q/V bands are attractive from the point of view of the frequency bandwidth that can potentially be used. However, the increased degradation due to rain and clouds necessitates the use of specific techniques to ensure the capacity, availability, and quality of service of the data transmission. The classical Fade Mitigation Techniques (FMTs) are power control, site diversity, satellite diversity (Gallinaro et al., 2005). More specific ones must however be used for millimeter-wave transmission, like Advanced Coding and Modulations (ACMs), the dynamic modification of the scheme for data encoding to counteract the received signal attenuation conditions. An accurate design of ACM necessitates the knowledge of time series of the received signal at the frequency and location of interest.In the absence of experimental propagation data measured on the receiving site, the ability to predict time series of attenuation is important, both for individual Return Channel Satellite Terminals (RCSTs) and for the systems, and second for real-time resource management of the systems (Castanet et al., 2003). Radio wave propagation above 10 GHz is strongly influenced by the troposphere, mainly by rain and clouds. Rain attenuation has been extensively studied in the past, and much effort has been devoted to develop models capable of predicting annual rain attenuation statistics (