Performance Analysis of Rain Rate Models for Microwave Propagation Designs Over Tropical Climate

Obiyemi, Obiseye; Ojo, J. S.; Ibiyemi, and Tunji Samuel

doi:10.2528/pierm14083003

Cited by 22 publications

(13 citation statements)

References 23 publications

(41 reference statements)

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“…However, when the method is applied to the tropical regions, the inaccuracy of these empirical formulaes have been reported by many investigators [2][3][4][5][6]. In addition to the lack of rainfall and attenuation data, the inaccuracy of the ITU-R model for the tropical region may be due to the variability of precipitation in this region.…”

Section: Introductionmentioning

confidence: 98%

Cumulative Distributions of Rainfall Rate Over Sumatra

Marzuki¹,

Hashiguchi²,

Shimomai³

et al. 2016

PIER M

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Abstract-The microwave radio links above 5 GHz suffer from attenuation due to precipitation. The need for employing higher frequencies has therefore encouraged research into rain attenuation due to precipitation. The natural variations of tropical precipitation occur in a wide range of time-scales, so does probably the behavior of radio communication links. This paper examines the variations of cumulative distribution of rainfall in Sumatra from an optical rain gauge measurement with a near continuous record of operation over eleven consecutive years (2002)(2003)(2004)(2005)(2006)(2007)(2008)(2009)(2010)(2011)(2012). The worst month statistics were also examined and all results were compared with the ITU-R model. Of some natural variations of rainfall rate investigated, the diurnal variation had the most significant effect on the cumulative distribution of rainfall rate. The ITU-R model overestimated the rainfall rate for the first half of the day (00:00-11:59 LT) whereas it underestimated the rainfall rate until 0.01% of time for the second half of the day (12:00-23:59 LT) before the model starts to overestimate. The ITU model overestimated 52.85% of rainfall rate at 0.01% of time for the first half of the day and underestimates 7.59% for the second half. Considerable differences between the recorded data and the ITU-R model for the annual, seasonal, and intreaseasonal variations are only significant at small time percentage (≤ 0.01%). The relationship of worst month statistics was also slightly different from the ITU-R model. This result reinforces the previous studies on the limitation of the ITU-R model for the tropical region.

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Section: Introductionmentioning

confidence: 98%

Cumulative Distributions of Rainfall Rate Over Sumatra

Marzuki¹,

Hashiguchi²,

Shimomai³

et al. 2016

PIER M

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“…Mismanagement and lack of knowledge about existing water resources and the changing climatic conditions have consequences of an imbalance of supply and demand of water. A few literature exist in the time series analysis of monthly rainfall in some states in Nigeria, they include; Akwa-Ibom State, Uyo [3], Ile-Ife, Osun State [4], Umuahia, Abia State [5], Ilorin, Kwara State [6], Portharcourt, Rivers State [7], Akure, Ondo State [8][9][10], Ikeja Lagos [11], Ota, Ogun State [12] and Ogbomosho, Oyo State [13]. This study therefore attempts to identify and construct the best SARIMA model that best fits, explains the underlying generating process and satisfactorily forecast into the future of the monthly frequency of rainfall in Osun State.…”

Section: Introductionmentioning

confidence: 99%

Seasonal Autoregressive Integrated Moving Average (SARIMA) Model for the Analysis of Frequency of Monthly Rainfall in Osun State, Nigeria

Adams

Mustapha

Alumbugu

2019

PSIJ

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The Seasonal Autoregressive Integrated Moving Average (SARIMA) model is proposed for Osun State monthly rainfall data and the analysis was based on probability time series modeling approach. The Plot of the original data shows that the time series is stationary and the Augmented Dickey-Fuller test did not suggest otherwise. The graph further displays evidence of seasonality and it was removed by seasonal differencing. The plots of the ACF and PACF show spikes at seasonal lags respectively, suggesting SARIMA (1, 0, 1) (2, 1, 1). Though the diagnostic check on the model favoured the fitted model, the Auto Regressive parameter was found to be statistically insignificant and this led to a reduced SARIMA (1, 0, 1) (1, 1, 1) model that best fit the data and was used to make forecast. Adams et al.; PSIJ, 22(4): 1-9, 2019; Article no.PSIJ.50701 2 Original Research Article

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“…The tipping bucket type is used for measuring the amount of accumulated rainfall and the rainfall rate [4]. Obiyemi et al [5] estimated the point rain rate for Akure for 0.01% to be 120 mm/h. The 0.01% rain rate is about 120mm/h over locations in Malaysia as estimated by Abdulrahman et al [6].…”

Section: Introductionmentioning

confidence: 99%

Year to year variation of rainfall rate and rainfall regime in Ota, southwest Nigeria for the year 2012 to 2015

Omotosho

Ometan

Akinwumi

et al. 2017

J. Phys.: Conf. Ser.

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Abstract. The tropics is characterized to have convective type of rainfall which has high occurrence of rainfall compared to the temperate regions of the world. In this paper, the accumulation of rainfall in Ota, Southwest, Nigeria (6 o 42 N, 3 o 14 E) has been analysed to present the one-minute rainfall rate and the predominant type of rainfall. Four years' data used for this study was taken using the Davis Wireless vantage Pro2 weather station at Covenant University, Ota, Ogun State. The data collected were used to analyse the one-minute rainfall rate and different types of rainfall predominant in this region. For the prediction and modelling of rain attenuation at microwave frequencies for a region like the Nigeria at various percentage of time, one-minute rainfall rate is required. Nigeria falls into the P zone of 114 mm/hr. as per International Telecommunication Union -Recommendation (ITU-R). The analysis carried out indicated that the measured yearly averaged maximum one-minute rainfall rate for 2012, 2013, 2014 and 2015 are 157.7 mm/h, 148.0 mm/h, 241.2 mm/h and 157.3 mm/h respectively. It also indicated that the drizzle type of rainfall is predominant in contrast to established fact that thunderstorm occurs more in the tropics.

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Performance Analysis of Rain Rate Models for Microwave Propagation Designs Over Tropical Climate

Cited by 22 publications

References 23 publications

Cumulative Distributions of Rainfall Rate Over Sumatra

Cumulative Distributions of Rainfall Rate Over Sumatra

Seasonal Autoregressive Integrated Moving Average (SARIMA) Model for the Analysis of Frequency of Monthly Rainfall in Osun State, Nigeria

Year to year variation of rainfall rate and rainfall regime in Ota, southwest Nigeria for the year 2012 to 2015

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