Understanding the intricate impacts of many climate phenomena on regional climate is critical for accurate weather forecasting and efficient climate change planning. In this study, we use multiple linear regression (MLR) analysis to investigate the effects of major tropical climate modes associated with sea surface temperature (SST) variability, the Indian Ocean Dipole (IOD), Indian Ocean Tripole (IOT), and the El Niño Southern Oscillation (ENSO), on precipitation patterns. Each of these climatic modes have a separate and autonomous influence on precipitation over the different regions of the Indian subcontinent during the monsoon season, which lasts from June to September (JJAS). The trend analysis of precipitation indicates significant rise in central and southern regions, contrasted by decline in northern and north-eastern region. These phenomena can interact in ways that either amplify or diminish their individual effects on India’s monsoon. This study aims to distinguish the distinct contributions of different climate modes to precipitation across the Indian subcontinent. The finding indicates that IOD and ENSO have similar influence on precipitation patterns. However, IOT demonstrates distinct impact differing from IOD and ENSO.