Climate regionalization to assess change in extreme rainfall over Indian subcontinent

Chandrani Chatterjee, Saurabh Das
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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.
评估印度次大陆极端降雨变化的气候区划
气候变化及其导致的极端事件增加已成为当今社会关注的主要问题。降雨周期和闪电极端是近期气候变化最明显的影响。然而,量化气候变化对一个地区的影响是具有挑战性的,特别是对于像印度这样地形和气候变化如此巨大的国家。目前的工作试图使用机器学习技术基于主要气候因素对印度次大陆进行区域化。所得到的区域在气候变量之间表现出明显的相互关系。极端降水日数(50 ~ 40 mm)有显著增加趋势,有显著减少趋势。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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