Applying Non-Parametric Tests in a Case Study of Temperature Trend Analysis

The effect of climate change on precipitation has drawn the attention of most experts worldwide, making it a current hot topic. In this work, an effort has been made to identify the district-specific trend and variability of temperature in Thiruvananthapuram for 30 years (1992-2021) The frequently used modified Mann-Kendall test was applied to time series data to identify the trend in rainfall using a 5% threshold of significance. Sen's slope and the Coefficient of Variation (CV) were employed for the detection of trend magnitude and variability analysis, respectively. Thiruvananthapuram is discovered to have a positive trend, meaning that the temperature has been rising over time. Both rising and falling trends have been seen in the abundance of data. The Mann-Kendall trend test and Sen's Slope estimator both indicated that there is a tendency for temperature to rise in the research area, according to the study. Hence, the capital city may experience extreme weather as a result of the rising trend in temperature brought on by climate change and other variables.