北大西洋涛动与尼日利亚东南部降水变率:30年的统计分析

Okorie Fidelis Chinazor
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引用次数: 1

摘要

本研究利用图形模式分析了尼日利亚东南部地区的降雨变率,并利用统计方法探讨了全球北大西洋涛动指数(NAO)与该地区区域降雨变率之间的显著关系。该研究在尼日利亚东南部的三个州进行,即Abia, Ebonyi和Imo州,这些州位于纬度40 40 '和80 50 '之间,经度60 20 '和80 50 '之间。该研究的数据包括30年(1988 - 2017)三个研究州的存档时间序列月降雨量,这些数据来自尼日利亚气象局(NIMET)和各州办事处,以及同期北大西洋涛动指数(NAOI)的标准化值,这些数据来自美国NOAA数据中心的一个网站。在数据分析中,采用第一种方法,用图表来说明三十年的年平均降雨量。变异系数被用来评价数值与平均速率的变异程度。第二次分析使用相关模型来确定尼日利亚东南部NAOI与降雨之间的关系。结果表明,研究期内,1 - 12月(月平均)降水量变化显著。相关分析得到负相关值为0.7525,表明全球NAO指数与降水变率的偏离方向相反。多重确定系数(Coefficient of multiple determinations, CMD)随后显示出0.031%的值,即降雨变化受全球遥连性的影响,这意味着NAO指数对尼日利亚东南部地区的降雨变率没有影响。
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North Atlantic Oscillation and Rainfall Variability in Southeastern Nigeria: A Statistical Analysis of 30 Year Period
This study analyzed rainfall variability in Southeast region of Nigeria using graphical models, as well as using statistical approach to investigate any significant relationship between the global North Atlantic Oscillation (NAO) Index and the regional rainfall variability in region. The study was conducted in three States of Southeastern Nigeria namely, Abia, Ebonyi and Imo States that lie between Latitudes 40 40’ and 80 50’N and Longitudes 60 20’ and 80 50’E. Data for the study included 30 years (1988 - 2017) archival time-series monthly rainfall values for the three study States, acquired from Nigerian Meteorological Agency (NIMET), offices in the states, and Standardized values of NAOI (North Atlantic Oscillation Index) for the same period, which were collected from a website, on the NOAA Data Center, USA. In the data analyses, the first method was adopted by using graphs to illustrate mean annual rainfall values for thirty years. Coefficient of variability was employed in evaluating the degree of variability of values from the mean rate. The second analysis was accomplished using correlation models to ascertain any relationship between NAOI and rainfall in Southeast Nigeria. The results showed a significant variability of rainfall in the region from January to December (mean monthly) within the study period. A negative correlation value of 0.7525 was obtained from the correlation analysis, showing that the global NAO index and rainfall variability deviate in the opposite direction. Coefficient of multiple determinations (CMD) subsequently showed value of 0.031%, being the variation in rainfall as influenced by the global teleconnectivity, and this means that the NAO index has zero or no influence on rainfall variability in Southeast region of Nigeria.
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