Based on a large data bank of rain rate time series, we have simulated a large data bank of rain attenuation time series at 18.7 GHz in slant paths to Italsat (13.2° E), circular polarisation, with the Synthetic Storm Technique (SST). The paper shows that 4 years of data can predict long term (~ 10 years) rain attenuation probability distributions with an average error practically zero, and an RMS in the range 2 ~ 6% in the probability range 0.00010.01
Long Term Rain Attenuation Statistics from Short Term Experiments
MATRICCIANI, EMILIO
2010-01-01
Abstract
Based on a large data bank of rain rate time series, we have simulated a large data bank of rain attenuation time series at 18.7 GHz in slant paths to Italsat (13.2° E), circular polarisation, with the Synthetic Storm Technique (SST). The paper shows that 4 years of data can predict long term (~ 10 years) rain attenuation probability distributions with an average error practically zero, and an RMS in the range 2 ~ 6% in the probability range 0.00010.01File in questo prodotto:
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