Application of Non-Parametric Statistical Tools in Analysing the Climate Data through XLSTAT

Abstract

The emission of greenhouse gases disturbs the established energy balance of atmosphere which result in rising in temperature and increased erraticity of climatic parameters. The global annual mean surface temperature has increased by more than 1.5\(^{\circ}\)C above the pre industrial level [1]. This increase in temperature has caused unprecedented changes across the human and natural systems. In the process of gradual warming, the mean temperature shifted upward which amounts to climate change. The study utilised Mann Kendall trend analysis and Mann Whitney petiti’s homogeneity test for identifying the trends and shifts in temperature. There are many ways to depict and analyse the data. XLSTAT is one of the software application which is available for free trails for one week or ten days. It is very simplest to analyse through this application. It is used to analyse all kind of descriptive measure, parametric and non parametric analysis in a simplest way.