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Proceedings ArticleDOI

Conversion of 15-minutes to 1-minute rain attenuation derived from tropical rain attenuation measurement

TLDR
In this paper, the authors proposed a method to convert the rain attenuation from 15minutes to 1-minute long-term rain attenu-cation derived from tropical terrestrial rain attenua measurement.
Abstract
Rain attenuation is considered as one of the main factors that influence significantly the wireless communications path at frequencies above 10 GHz. There are methods of predicting rain attenuation in different frequencies and conditions, most of these methods largely dependent on the knowledge of rainfall per minute. For this reason, several studies are published to convert rainfall from different time periods to one minute rainfall rate. In this paper, we proposed a method to convert the rain attenuation from 15-minutes to 1-minute long term rain attenuation derived from tropical terrestrial rain attenuation measurement. We implemented this method on one year 15-minutes rain attenuation over microwave links operating at 15 GHz. The analysis results show that the method can convert rain attenuation from 15-minutes to 1-minute based on the degree of the correlation coefficients.

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Citations
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Proceedings ArticleDOI

Review of rain attenuation measurements on earth — Space links in Nigeria

TL;DR: In this article, the extent of work done on the experimental assessment of the attenuation induced by rain on practical earth-space links in Nigeria is presented The cumulative rain rate distributions derived from the instantaneous precipitation indices for propagation modelling and the estimation of fade margin is presented for Ile-Ife, Akure, Ilorin, Ota, Osogbo and Ogbomoso Results reveal the spatial variability of the point rainfall rate across these stations Although the stations engaged with measurement on rain attenuation are limited in number, preliminary results from new stations are presented, while addition data from
Journal ArticleDOI

Conversion of 15-Minutes to 1-Minute Rainfall Distribution Derived from Tropical Rainfall Distribution Measurement

TL;DR: In this paper , a review of existing methods for the conversion of cumulative distributions of rainfall and compares the said conversion methods is presented. And the authors found that Segal's method performs the best conversion procedure overall.
References
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Journal ArticleDOI

Prediction of Attenuation by Rain

TL;DR: A new model for the prediction of attenuation by rain on either terrestrial or slant earth-to-space propagation paths shows excellent agreement; the observations differ from model predictions by less than the rms deviations predicted by the model.
Journal ArticleDOI

Modelling of the rainfall rate cumulative distribution for the design of satellite and terrestrial communication systems

TL;DR: In this article, a probability law model was proposed to predict the cumulative distribution of the rainfall rate in temperate and tropical climates, which can be easily used for radiocommunication engineers and scientists.
Journal ArticleDOI

Rain rate statistical conversion for the prediction of rain attenuation in Malaysia

TL;DR: In this paper, an empirical model is proposed for approximating the rain rate conversion factor from 1 h to 1 min integration time in Malaysia, which is very useful for microwave systems designers since the hourly rainfall data are more abundant and can be obtained at many locations.
Journal ArticleDOI

The Influence of Raingage Integration Time, on Measured Rainfall-intensity Distribution Functions

TL;DR: In this paper, high-resolution tipping-bucket precipitation records for 45 locations in Canada have been analyzed to yield empirical conversion factors appropriate for five- or ten-minute sampling times.

Long term statistics of precipitation rate return periods in the context of microwave communications

TL;DR: In this article, a 49-year point rainfall rate data bank was used to investigate the interval of time between exceedances of rain thresholds R and showed that the annual inter and intra intervals are well modelled by log normal distributions, and each set clusters to a single distribution when the intervals are normalized to their annual averages I/sub a/I/sub e/).
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