*2.2. Statistical Analysis*

Table 1 presents the statistical analysis of maximum and minimum temperatures (Tmax and Tmin, ◦C), relative humidity (RH-1, percent) at 7 a.m. and at 2 p.m. (RH-2, percent), wind speed (WS, km/h), bright sunshine hours (SSH, h) and daily pan evaporation (EPan, mm). The statistical analysis includes mean, median, minimum, maximum, standard deviation (Std. Dev.), kurtosis, and skewness values from 2013 to 2017. The given data is moderate to highly skewed; due to this problem, there has been a considerable negative effect on model performance. The standard deviation for the datasets shows that the values that are farther from zero mean that the variability in the data is higher. Hence, the variation of data from the mean value is higher. The statistical characteristics from the kurtosis values depict the platykurtic and leptokurtic nature of the climatic parameters, where kurtosis values are less than or greater than 3.


**Table 1.** Statistical constraints of climatic parameters from 2013 to 2017 in the study area.

Table 2 depicts the inter-correlation between climatic variables at the given station. Thus, it can be observed that all climate parameters have a significant association with the EPan at a significance level of 5%.

**Table 2.** Intercorrelation values between climatic parameters in the study area.

