A Study on Precision of Statistical Models of Temperature in Various Zones of Assam
Abstract
Temperature is increasing highly day by day and its influence on climate change is unfavourable. Many researchers have studied several characteristics of temperature all over the world in various frame of data usually in yearly based data or season wise data. This paper is concerned with the comparison of accuracy percentage of statistical model of temperature in two dimensions, one is monthly mean minimum temperature and another one is monthly mean maximum temperature based on yearly data and season wise data for the period of 1985-2022 in various zones of Assam (Guwahati, Dibrugarh, Silchar, Tezpur). The analysis clearly showed that accuracy percentage of statistical model of temperature season wise is more than that of yearly based data. The study shows that there is an increasing trend in case of monthly mean maximum temperature and in case of monthly mean minimum temperature, there is both increasing and decreasing trend in accordance to months for the period 1985-2018 in Guwahati, the capital of Assam.
Fields of Study & Subjects
Artificial Intelligence and Decision Support Systems
Hydrological Forecasting Using AI
Agricultural Economics and Practices
Publication details
- Journal / source
- MAUSAM
- Volume
- 77
- Issue
- 1
- Pages
- 55–70
- Publication date
- 1 January 2026