Climate change will cause temperature variations in the years to come. These temperatures will vary with time and hour. In this report, we assessed the association of (ANN) Average Normal Number for the month of May & temperatures between 1981 to 2022.We looked at ANN for specific humidity, earth skin temperature, and precipitation correction sum. We then used logistic regression and time study design to analyze the data. We determined the odd values for the year by evaluating odd ratios for maximum temperature changes. Temperature variations ranging from 30 to over 40 degrees per day have had a major impact during the past 43 years, as seen by the significant (p<0.10) correlation we found between ANN and earth skin temperature, specific humidity, and precipitation correction total at lags of 0.1 and 0.5. We found that the model is statistically significant and that the relevant year's odd ratios and values exist. We infer that ANN (TS) is less affected by hourly temperature increases than ANN(QV2M) & ANN(TOTCORR).