An Analysis of Temperature Variability Using an Index Model

This study addresses the temperature variation and volatility over 100 years, showing results on a daily, monthly, and annual basis. Our focus is to show how these variations have changed over long periods and have become more volatile over the past 30 years. Using this information, we then developed a comprehensive model, the temperature variation index that examines temperature volatility and provides predictions for future years. This index reveals the biggest impact of climate change is occurring in February and November, while the lowest impact is in the Summer. The index serves as a tool to compare temperature data across different time intervals, enabling data scaling and the identification of differences between data points on a new proposed scale. Data from 1900 to 2021 are examined to analyze temperature distributions and patterns over time. A new mapping technique is introduced, along with algorithms, to illustrate the weather patterns and shifts that have occurred in the past 30 years compared to the last 120 years. This technique provides a visual representation of temperature changes, aiding in the identification of trends and patterns. The results of this study contribute to existing research by offering a detailed analysis of temperature variation and volatility over a long period. The findings enhance understanding and management of climate variability.