An important characteristic of rainfall levels at a particular place is the statistical distribution of rainfall rate. In this paper, 5-min integration time rainfall data for the Northcentral region of Nigeria was obtained from the Tropospheric Data Acquisition Network (TRODAN), Anyigba, Nigeria. Also, 1-min integration time rainfall was measured at Minna, Nigeria. In order to obtain the optimal rain rate model suitable for this region, two globally recognised rain rate models were critically evaluated and compared with the 1-min measurements. These are the ITU-R P.837-7 and Lavergnat-Gole (L-G) models. The results obtained showed that the ITU-R P.837-7 and L-G models respectively underestimated the measured rain rate by 7.3 mm/h and 9 mm/h at time percentage exceedance of 0.1%, while they underestimated the measured rain rate by 23.4 mm/h and 13 mm/h respectively at 0.01%. At 0.001%, the measured rain rate was overestimated by the ITU-R P.837-7 and L-G models by 27.4 mm/h and 3 mm/h respectively. Further performance evaluation of the predefined models was carried out using different error metrics such as sum of absolute error (SAE), mean absolute error (MAE), root mean square error (RMSE), standard deviation (STDEV) and Spearman’s rank correlation. The results obtained adjudged the Lavergnat-Gole model as the best rain rate prediction model for this region.

特定位置降雨水平的一个重要特征是降雨率的统计分布。本文从尼日利亚安尼巴的对流层数据采集网络（TRODAN）获得了尼日利亚中北部地区5分钟的积分时间降雨数据。另外，在尼日利亚明纳测量了1分钟的积分时间降雨。为了获得适合该地区的最佳降雨率模型，我们对两个全球公认的降雨率模型进行了严格评估，并与1分钟的测量值进行了比较。这些是ITU-R P.837-7和Lavergnat-Gole（LG）模型。获得的结果表明，在时间百分比超过0.1％时，ITU-R P.837-7和LG模型分别低估了测得的降雨率7.3 mm / h和9 mm / h，而低估了23％ 。0.01％时分别为4 mm / h和13 mm / h。在0.001％时，ITU-R P.837-7和LG型号分别高估了测得的降雨率27.4 mm / h和3 mm / h。使用不同的误差度量标准（例如绝对误差之和（SAE），平均绝对误差（MAE），均方根误差（RMSE），标准偏差（STDEV）和Spearman秩相关）对预定义模型进行进一步的性能评估。获得的结果将Lavergnat-Gole模型判定为该区域的最佳降雨率预测模型。均方根误差（RMSE），标准差（STDEV）和Spearman秩相关。获得的结果将Lavergnat-Gole模型判定为该区域的最佳降雨率预测模型。均方根误差（RMSE），标准差（STDEV）和Spearman秩相关。获得的结果将Lavergnat-Gole模型判定为该区域的最佳降雨率预测模型。