Development of one-minute rain-rate and rain-attenuation contour maps for satellite propagation system planning in a subtropical country: South Africa

2014 ◽  
Vol 54 (8) ◽  
pp. 1487-1501 ◽  
Author(s):  
J.S. Ojo ◽  
P.A. Owolawi
Keyword(s):  
South Africa ◽  
Rain Rate ◽  
Rain Attenuation ◽  
System Planning ◽  
Contour Maps ◽  
Subtropical Country

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.

scholarly journals Rain Rate and Rain Attenuation Geographical Map for Satellite System Planning in Ghana

2020 ◽  
Vol 177 (41) ◽  
pp. 34-45
Author(s):  
Stephen Akobre ◽  
Mohammed Ibrahim ◽  
Abdul-Mumin Salifu
Keyword(s):  
Rain Rate ◽  
Satellite System ◽  
Rain Attenuation ◽  
System Planning

scholarly journals Rainfall rate and rain attenuation contour maps for preliminary “Simon Bolivar” satellite links planning in Venezuela

DYNA ◽  
2019 ◽  
Vol 86 (209) ◽  
pp. 30-39
Author(s):  
Angel Dario Pinto Mangones ◽  
Nelson Alexander Pérez García ◽  
Juan Manuel Torres Tovio ◽  
Eduardo José Ramírez ◽  
Samir Oswaldo Castaño Rivera ◽  
...  
Keyword(s):  
Communication Systems ◽  
Satellite Communication ◽  
Rain Rate ◽  
Rain Attenuation ◽  
Rainfall Rate ◽  
Integration Time ◽  
Contour Maps ◽  
Simon Bolivar ◽  
Satellite Links ◽  
Wireless Communications Systems

Predicting precipitation rate and rainfall attenuation are key aspects in planning and dimensioning of wireless communications systems operating at frequencies above 10 GHz, such as satellite communication systems at Ku and Ka bands. In this paper, contour maps of rainfall rate and rain attenuation are developed for the first time in Venezuela, based on 1-min rain rate statistics obtained from measurements carried out in Venezuela over at least 30 years period with a higher integration time and using Rice-Holmberg model, refined Moupfouma-Martin model and Recommendation ITU-R P.837-7, for rain rate estimation and Recommendation ITU-R P.618-13, Ramachandran-Kumar model, Yeo-Lee-Ong model and Rakshit-Adhikari-Maitra model, for rain attenuation prediction in “Simon Bolivar” satellite links in Venezuela. The overall results of both types of maps represent a useful tool for preliminary planning of those links in the country, specifically, in Ku and Ka bands

Rain Rate and Rain Attenuation Over Millimeter Waves in Tropical Regions Based on Real Measurements

2021 ◽  
Author(s):  
Waheeb Tashan ◽  
Ibraheem Shayea ◽  
Sultan Aldirmaz-Colak ◽  
Tharek Abdul Rahman ◽  
Ayman A. El-Saleh ◽  
...  
Keyword(s):  
Millimeter Waves ◽  
Rain Rate ◽  
Rain Attenuation ◽  
Tropical Regions

scholarly journals Rainfall Estimation with an Operational Polarimetric C-Band Radar in the United Kingdom: Comparison with a Gauge Network and Error Analysis

2011 ◽  
Vol 12 (5) ◽  
pp. 935-954 ◽  
Author(s):  
V. N. Bringi ◽  
M. A. Rico-Ramirez ◽  
M. Thurai
Keyword(s):  
United Kingdom ◽  
Rain Rate ◽  
Error Variance ◽  
Absolute Error ◽  
Rain Attenuation ◽  
Statistical Measures ◽  
Composite Estimator ◽  
Using Data ◽  
Radar Rain Rate ◽  
Rain Rates

Abstract The estimate of rainfall using data from an operational dual-polarized C-band radar in convective storms in southeast United Kingdom is compared against a network of gauges. Four different rainfall estimators are considered: reflectivity–rain-rate (Z–R) relation, with and without correcting for rain attenuation; a composite estimator, based on (i) Z–R, (ii) R(Z, Zdr), and (iii) R(Kdp); and exclusively R(Kdp). The various radar rain-rate estimators are developed using Joss disdrometer data from Chilbolton, United Kingdom. Hourly accumulations over radar pixels centered on the gauge locations are compared, with approximately 2500 samples available for gauge hourly accumulations > 0.2 mm. Overall, the composite estimator performed the “best” based on robust statistical measures such as mean absolute error, the Nash–Sutcliffe coefficient, and mean bias, at all rainfall thresholds (>0.2, 1, 3, or 6 mm) with improving measures at the higher thresholds of >3 and >6 mm (higher rain rates). Error variance separation is carried out by estimating the gauge representativeness error using 4 yr of gauge data from the Hydrological Radar Experiment. The proportion of variance of the radar-to-gauge differences that could be explained by the gauge representativeness errors ranged from 20% to 55% (for the composite rain-rate estimator). The radar error is found to decrease from approximately 70% at the lower rain rates to 20% at the higher rain rates. The composite rain-rate estimator performed as well as can be expected from error variance analysis, at mean hourly rain rates of about 5 mm h−1 or larger with mean bias of ~10% (underestimate).

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