Rainfall Deviation of India from the Last 40 Years Data Using Remote Sensing

Abstract

This research investigates precipitation deviations using the Climate Hazards Group InfraRed Precipitation with Station (CHIRPS) dataset within the Google Earth Engine (GEE) platform. CHIRPS, developed by the Climate Hazards Group at the University of California, Santa Barbara, in collaboration with the U.S. Geological Survey, provides high-resolution daily precipitation data from 1981 to the present. Leveraging its spatial resolution of 0.05 degrees, we analyzed precipitation patterns over a specified region from 1982 to 2022. The methodology involves comprehensive data preprocessing, including loading, subsetting, and handling missing values using JavaScript in GEE. Climatology was calculated by aggregating the data monthly to establish a baseline of expected precipitation patterns. Deviations from this baseline were computed to identify anomalies. The CHIRPS dataset’s integration into GEE enabled robust spatial and temporal visualization and statistical analysis of precipitation anomalies. This study underscores CHIRPS’s crucial role in enhancing our understanding of precipitation variability, informing climate adaptation strategies, and improving hydrological, agricultural, and disaster risk management practices. The findings contribute valuable insights into precipitation trends and their implications in the context of global climate change.