干旱区生态环境知识资源中心(Arid): A stepwise clustered ensemble temperature downscaling (SCETD) approach for assessing the future changes of temperature extremes over Yangtze River Basin

Arid

DOI	10.1016/j.jclepro.2024.143045
	A stepwise clustered ensemble temperature downscaling (SCETD) approach for assessing the future changes of temperature extremes over Yangtze River Basin
	Liu, Jiachen; Huang, Guohe; Song, Tangnyu; Wang, Shuguang; Li, Yongping; Yu, Bizheng; Tang, Wenchang; Zhou, Xiong
通讯作者	Huang, GH
来源期刊	JOURNAL OF CLEANER PRODUCTION
ISSN	0959-6526
EISSN	1879-1786
出版年	2024
卷号	469
英文摘要	In this study, a stepwise clustered ensemble temperature downscaling (SCETD) model has been proposed based on a stepwise cluster analysis method (SCA) and used for the first time to study the extreme temperature variations at 12 stations in the Yangtze River Basin (YRB). The results show that the proposed model can be used to generate reliable forecasts of daily maximum, minimum, and mean temperatures based on CMIP6 data (R-2 > 0.96). Temperatures in the Yangtze River Basin are likely to maintain a significant upward trend (Tmean is 0.082-0.23 degrees C/decade under SSP245 and 0.094-0.46 degrees C/decade under SSP585) in the future. In terms of extreme temperature events, extreme warm events may happen more frequently and extreme cold events to decrease in the future under SSP245 and SSP585. A more significant increase of FD and TNn can be observed in the Qinghai-Tibet Plateau region, while the TXx and SU will grow more considerably in the central Yangtze River region under both scenarios. Semi-arid regions (Qinghai-Tibet Plateau) are more sensitive to climate change. The changes of SU and TXx are significantly smaller than FD and TNn under both SSPs scenarios. The obtained results will be of great significance for responding to international climate goals, formulating emission reduction policies, adopting adaptation measures and international cooperation.
英文关键词	Climate change Yangtze river basin Stepwise cluster analysis Temperature Ensemble projections CMIP6
类型	Article
语种	英语
收录类别	SCI-E
WOS记录号	WOS:001284462100001
WOS关键词	DAILY PRECIPITATION ; CLIMATE-CHANGE ; AIR-QUALITY ; CHINA ; VARIABILITY ; FRAMEWORK ; IMPACTS
WOS类目	Green & Sustainable Science & Technology ; Engineering, Environmental ; Environmental Sciences
WOS研究方向	Science & Technology - Other Topics ; Engineering ; Environmental Sciences & Ecology
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/404416
推荐引用方式 GB/T 7714	Liu, Jiachen,Huang, Guohe,Song, Tangnyu,et al. A stepwise clustered ensemble temperature downscaling (SCETD) approach for assessing the future changes of temperature extremes over Yangtze River Basin[J],2024,469.
APA	Liu, Jiachen.,Huang, Guohe.,Song, Tangnyu.,Wang, Shuguang.,Li, Yongping.,...&Zhou, Xiong.(2024).A stepwise clustered ensemble temperature downscaling (SCETD) approach for assessing the future changes of temperature extremes over Yangtze River Basin.JOURNAL OF CLEANER PRODUCTION,469.
MLA	Liu, Jiachen,et al."A stepwise clustered ensemble temperature downscaling (SCETD) approach for assessing the future changes of temperature extremes over Yangtze River Basin".JOURNAL OF CLEANER PRODUCTION 469(2024).