Climate regionalization to assess change in extreme rainfall over Indian subcontinent

Abstract

Climate change and resulting increase in extreme events have become major sources of concern for the society today. Rainfall cycle and lightning extremities are among the most evidenced effects of recent climatic changes. However, quantifying the climate change effect over a region is challenging especially for a country like India with such enormous topographic and climatic variabilities. The current work attempted to regionalize Indian subcontinent based on the major climatic factors using machine learning techniques. The resulting regions have showed distinct interrelationship between the climate variable. Two regions showed significant increasing trend in number of extreme rainfall days(>40 mm) whereas, two other showed decreasing trends. © 2022 URSI.