We have de–integrated the daily rainfall collected in Milan in the years 1858–2000 (143 years) to obtain 1–min rain–rate probability distributions according to the Mathematical Theory developed by E. Matricciani (2013). Because of the large data bank and reliable predictions, we have applied the theory to calculate long–term average–month distributions, to assess how they change in the year, compared to that of the average year. The results show realistic and physically understandable trends. In other words, the theory works also for periods shorter than a year, a month in this case. Then we have applied the global (statistical) version of the Synthetic Storm Technique, to obtain rain attenuation distributions at 19.7 and 39.4 GHz, for each month in a 35.3° slant path in Milan, a link to Alphasat. These results are thus useful to design satellite systems for particular services or temporal requirements, such as a particular month, season. While the rain attenuation exceeded is practically a constant in each month at very high probability (for instance, at 1%), at the lower probabilities the difference between the minimum (winter) and the maximum (summer) values becomes large and impacts very much on system design. At 19.7 GHz, the difference can reach 6 dB at 0.1% probability, and 30 dB at 0.01%.
MONTHLY RAIN ATTENUATION STATISTICS IN A SLANT PATH TO ALPHASAT, AT 19.7 AND 39.4 GHZ, FROM DAILY RAINFALL IN MILAN IN THE YEARS 1858–2000
MATRICCIANI, EMILIO;RIVA, CARLO GIUSEPPE
2013-01-01
Abstract
We have de–integrated the daily rainfall collected in Milan in the years 1858–2000 (143 years) to obtain 1–min rain–rate probability distributions according to the Mathematical Theory developed by E. Matricciani (2013). Because of the large data bank and reliable predictions, we have applied the theory to calculate long–term average–month distributions, to assess how they change in the year, compared to that of the average year. The results show realistic and physically understandable trends. In other words, the theory works also for periods shorter than a year, a month in this case. Then we have applied the global (statistical) version of the Synthetic Storm Technique, to obtain rain attenuation distributions at 19.7 and 39.4 GHz, for each month in a 35.3° slant path in Milan, a link to Alphasat. These results are thus useful to design satellite systems for particular services or temporal requirements, such as a particular month, season. While the rain attenuation exceeded is practically a constant in each month at very high probability (for instance, at 1%), at the lower probabilities the difference between the minimum (winter) and the maximum (summer) values becomes large and impacts very much on system design. At 19.7 GHz, the difference can reach 6 dB at 0.1% probability, and 30 dB at 0.01%.File | Dimensione | Formato | |
---|---|---|---|
KA_MatriccianiRiva.pdf
Accesso riservato
:
Post-Print (DRAFT o Author’s Accepted Manuscript-AAM)
Dimensione
192.81 kB
Formato
Adobe PDF
|
192.81 kB | Adobe PDF | Visualizza/Apri |
I documenti in IRIS sono protetti da copyright e tutti i diritti sono riservati, salvo diversa indicazione.