Application of synthetic storm technique to predict time series of rain attenuation from rain rate measurement for a tropical location

2012 ◽  
Author(s):  
Dalia Das ◽  
Animesh Maitra
Keyword(s):  
Time Series ◽  
Rain Rate ◽  
Rain Attenuation ◽  
Rate Measurement ◽  
Tropical Location

scholarly journals Application of Synthetic Storm Technique for Diurnal and Seasonal Variation of Slant Path Ka-Band Rain Attenuation Time Series over a Subtropical Location in South Africa

2015 ◽  
Vol 2015 ◽  
pp. 1-8 ◽  
Author(s):  
J. S. Ojo ◽  
P. A. Owolawi
Keyword(s):  
South Africa ◽  
Time Series ◽  
Seasonal Variation ◽  
Diurnal Variation ◽  
Rain Rate ◽  
Rain Attenuation ◽  
Series Data ◽  
Band Frequency ◽  
Ka Band ◽  
Slant Path

As technology advances and more demands are on satellite services, rain-induced attenuation still creates one of the most damaging effects of the atmosphere on the quality of radio communication signals, especially those operating above 10 GHz. System designers therefore require statistical information on rain-induced attenuation over the coverage area in order to determine the appropriate transmitter and receiver characteristics to be adopted. This paper presents results on the time-varying rain characterization and diurnal variation of slant path rain attenuation in the Ka-band frequency simulated with synthetic storm techniques over a subtropical location in South Africa using 10-year rain rate time-series data. The analysis is based on the CDF of one-minute rain rate; time-series seasonal variation of rain rate observed over four time intervals: 00:00–06:00, 06:00–12:00, 12:00–18:00, and 18:00–24:00; diurnal fades margin; and diurnal variation of rain attenuation. Comparison was also made between the synthesized values and measured attenuation data. The predicted statistics are in good agreement with those obtained from the propagation beacon measurement in the area. The overall results will be needed for an acceptable planning that can effectively reduce the fade margin to a very low value for an optimum data communication over this area.

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