Network Divergence Reveals Predictable Pathways of Extreme Rainfall in Central India

Abstract Extreme rainfall events over Central India have increased, reflecting intensified monsoon precipitation driven by factors like urbanization and land use change. With projections indicating further intensification and flood vulnerability, better prediction is critical. We present a physically grounded, operationally actionable framework using network divergence on directed networks from nonlinear synchronization of extreme events. Applied to high‐resolution rainfall data, the method pred