气候变化领域集成服务门户(CCPortal): Extreme precipitation indices over India using CMIP6: a special emphasis on the SSP585 scenario

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DOI	10.1007/s11356-023-25649-7
	Extreme precipitation indices over India using CMIP6: a special emphasis on the SSP585 scenario
	Reddy, Nagireddy Masthan; Saravanan, Subbarayan
发表日期	2023
ISSN	0944-1344
EISSN	1614-7499
起始页码	47119
结束页码	47143
卷号	30 期号:16
英文摘要	In this study, a comparison of 17 Coupled Model Intercomparison Project Phase 6 (CMIP6) data sets with Indian Meteorological Department (IMD) data in terms of finding out extreme precipitation indices obtained by the Expert Team on Climate Change Detection and Indices (ETCCDI) is done. The extreme indices considered were the consecutive dry days (CDD), consecutive wet days (CWD), maximum 1-day precipitation (RX1DAY), maximum 5-day precipitation (RX5DAY), precipitation > 2.5 mm (RR2.5), heavy precipitation > 10 mm (R10MM), very heavy precipitation > 20 mm (R20MM), and simple daily intensity (SDII) that have been calculated for 17 CMIP6 datasets from 1950 to 2014 with IMD-gridded precipitation datasets over India. Rankings were assigned using the TOPSIS method with evaluation metrics as CC and RMSE as conditions. Almost all datasets performed well for indices, i.e., CWD, R10MM, R20MM, and RR2.5. The top 5 performing models are EC-Earth3, EC-Earth3-Veg, MRI-ESM2-0, GFDL-ESM4, and MIROC6 which were ensembled and projected for future periods in the near (2015-2040), middle (2041-2070), and far future (2070-2100), and extreme indices were calculated under Shared Socioeconomic Pathways 126 (SSP126), SSP245, SSP370, and SSP585 scenarios. The ensemble mean shows that RX1DAY, RX5DAY, R10MM, R20MM, and CWD are observed to increase in western ghats and northeastern regions of India. Central India exhibits a dynamic influence on precipitation indices in different climate change scenarios. The temporal variation for the SSP585 scenario predicts significant increases of about 45.41%, 149.40%, 52.26%, and 45.92% in R10MM, R20MM, RX1DAY, and RX5DAY over the current climate. Future extreme precipitation indices help flood modelers and hydrologists with watershed management.
英文关键词	ETCCDI; CMIP6; Extreme precipitation indices; TOPSIS; India; SSP
语种	英语
WOS研究方向	Environmental Sciences
WOS类目	Science Citation Index Expanded (SCI-EXPANDED)
WOS记录号	WOS:000925746300006
来源期刊	ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/281186
作者单位	National Institute of Technology (NIT System); National Institute of Technology Tiruchirappalli
推荐引用方式 GB/T 7714	Reddy, Nagireddy Masthan,Saravanan, Subbarayan. Extreme precipitation indices over India using CMIP6: a special emphasis on the SSP585 scenario[J],2023,30(16).
APA	Reddy, Nagireddy Masthan,&Saravanan, Subbarayan.(2023).Extreme precipitation indices over India using CMIP6: a special emphasis on the SSP585 scenario.ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH,30(16).
MLA	Reddy, Nagireddy Masthan,et al."Extreme precipitation indices over India using CMIP6: a special emphasis on the SSP585 scenario".ENVIRONMENTAL SCIENCE AND POLLUTION RESEARCH 30.16(2023).