Climate change impact on precipitation extremes over Indian cities: Non-stationary analysis

Goyal M.K.; Jha S.; Rakkasagi S.Jain V.Gupta A.K.

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Climate change impact on precipitation extremes over Indian cities: Non-stationary analysis

机译：Climate change impact on precipitation extremes over Indian cities: Non-stationary analysis

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? 2022The phenomena of climate change and increase in warming conditions across the globe causes changes in the frequency and severity of extreme weather events. The present study analyzed extreme precipitation weather events across four Indian cities in different climatic conditions. The study uses IMD precipitation datasets from 1900 to 2004 to analyze different atmospheric influencing parameters like ENSO, AMO, and IOD on future extreme precipitation conditions. The Bayesian analysis is carried out for nonstationary analysis of extreme indices like Rx1 Day, SDII, R10, and CWD with a 10, 20, 50, and 100 years return period. Significant outcomes of the comparative study of the stationary and nonstationary analysis showed an intensification in extreme precipitation across Indian cities for all return periods using the CWD indicator. The remaining three indicators of the nonstationary study suggested intensifying extreme rainfall across all Indian cities except Guwahati.

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《Technological forecasting and social change》 |2022年第7期|121685.1-121685.7|共7页
作者
Goyal M.K.; Jha S.; Rakkasagi S.Jain V.Gupta A.K.;
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作者单位

Discipline of Civil Engineering Indian Institute of Technology Indore;

National Institute of Disaster Management;

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收录信息美国《科学引文索引》(SCI);美国《工程索引》(EI);
原文格式 PDF
正文语种英语
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关键词
Extreme events; Indian cities; Nonstationary; Precipitation; Return level;

Climate change impact on precipitation extremes over Indian cities: Non-stationary analysis

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