Analysis of The Impact of Climate Change on Meteorological Time-Series Data in Uyo

Abstract

The annual trends of five meteorological variables were analysed for station in Uyo, the Akwa Ibom State capital, Nigeria, controlled by the Nigerian Meteorological Agency (NiMet) from 1972 to 2021. At the 5% statistical significance level, the non-parametric Mann-Kendall and Sen's slope estimator techniques were used to detect if there was a positive or negative trend and the magnitude of the trend in meteorological data. In this study, there was a significant statistically increasing (positive) trend in mean annual rainfall, maximum temperature, and minimum temperature. However, there was a significant statistically decreasing (negative) trend in average annual relative humidity, solar radiation. The magnitudes of the trends were 19.39mm/year, 0.0314^oC/year, 0.013^oC/year, -0.104%/year, and -8.78MJ/m²/year, for annual rainfall, maximum temperature, minimum temperature, relative humidity and solar radiation, respectively. The rising trends in precipitation, temperature, and runoff in this research area show that this region is subject to climatic variability. The results of the Mann-Kendall and Sen's slope estimator statistical tests revealed the consistency of performance in the detection of the trend for the meteorological variables.