Trend analysis and changepoint detection of monthly, seasonal and annual climatic parameters in the Garo Hills of Northeast India

This study seeks to identify the change points, tendencies, and trends in climatic parameters investigate their relationship with forest cover loss carbon dioxide (CO2) emission Garo Hills region of Northeast India.This is based on secondary data Precipitation, Maximum Temperature, Minimum Relative Humidity, Tree loss, CO2 from 1984 2019. Mann-Kendall's Sen's slopes were employed calculate trend monthly seasonal parameters, Pettitt's test was used estimate breakpoints.We further attempted between variables under consideration using Pearson's correlation regression analysis. The results indicate that precipitation levels generally decreasing over majority months seasons.The maximum temperature showed a marked increase, while minimum experienced decrease all seasons after 2008. From 1999 onwards, relative humidity has been rise except monsoon. Regression analysis reveals contributed negatively precipitation. positively correlated both (r = +0.58) +0.59), −0.59 r −0.59). will provide stakeholders an understanding how weather factors vary time, emissions affect patterns region, develop climate mitigation strategies.