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Research Article Open access CC BY 4.0

A Study on Rain Rate Prediction of Southwestern Nigeria

Folasade Abiola Semire, Adeyanju Adekunle, Robert Olayimika Abolade

Physical Science International Journal · pp. 1–12 · Published 14 Jan 2020

10.9734/psij/2019/v23i430166

Abstract

Rainfall parameters can be utilized to investigate the effect of climate change through scientific methods. However, data on rainfall rate exceeded for a fraction of an average year is grossly unavailable over Nigeria’s climate, thereby diminishing the capability of existing models to adequately estimate the effect of degradation due to rain. Hence, more accurate estimation is required for better predictions. Rainfall volume data for six different locations in the south-western region of Nigeria were obtained for rain rate computation using Semire and Rosmiwati model. The curve-fitted Cumulative Distribution Functions were compared with the ITU-R rain rate model (Recommendation P.837-6) and compensation function was obtained using error analysis while the performance was evaluated with respect to existing models using Chi-square, and Percentage Error and Root Mean Square Error (RMSE) metrics. The outcome of this study can be adopted for better understanding of spatial rainfall intensity in this region and other climatic zones of similar rainfall characteristics.

Rain rate cumulative distribution function Southwestern Nigeria.

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Cited by 2

Prediction of Rain Attenuation Trend due to Climate Change in Some Locations of Southwestern Nigeria

Folasade Abiola Semire, Adeyanju Joshua Adekunle, Robert Oluwayimika Abolade · Radioelectronics and Communications Systems · 2021

Showing 1 of 2 known citations — external sources report more than can currently be individually listed.

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