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DOI	10.1016/j.ejrh.2021.100898
	Appraising standardized moisture anomaly index (SZI) in drought projection across China under CMIP6 forcing scenarios
	Zhang, Gengxi; Su, Xiaoling; Singh, Vijay P.; Ayantobo, Olusola O.
通讯作者	Su, XL (corresponding author), Northwest A&F Univ, Minist Educ, Key Lab Agr Soil & Water Engn Arid Area, Yangling 712100, Shaanxi, Peoples R China. ; Su, XL (corresponding author), Northwest A&F Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China.
来源期刊	JOURNAL OF HYDROLOGY-REGIONAL STUDIES
EISSN	2214-5818
出版年	2021
卷号	37
英文摘要	Study region: Seven climatic regions of China. Study focus: This study compared and assessed the Standardized Moisture Anomaly Index (SZI), Standardized Precipitation Evapotranspiration Index (SPEI), and self-calibrated Palmer Drought Severity Index (scPDSI) over seven climatic regions of China based on simulations from General Circulation Models (GCM) participated in the 6th Coupled Model Intercomparison Project (CMIP6) under climate change. Then, SZI was calculated using downscaled and multi-model ensemble (MME) simulations for drought projection, and drought characteristics were determined based on SZI from 1985 to 2100. New hydrological insights for the region: Results showed that SZI was more robust and performed better in identifying and projecting multi-scalar and multi-category drought, especially in comprehensive drought identification, in different climatic regions under global warming. The performance of scPDSI in identifying multi-category drought decreased with the increase of time scales beyond 12 months. The SZI series calculated with downscaled and MME simulations showed that most parts of China (arid, semi-arid, and semi-humid regions) were projected to become wetter over the 21st century, however, drought is expected to be more widespread in southern humid regions of China under a warmer climate in the future. The results provide a new choice for future drought projection and valuable information for regional drought mitigation under climate change.
英文关键词	Climate change CMIP6 Multi-category drought Drought projection China
类型	Article
语种	英语
开放获取类型	gold
收录类别	SCI-E
WOS记录号	WOS:000708973000002
WOS关键词	CLIMATE-CHANGE ; HYDROLOGIC IMPLICATIONS ; EXTREME DROUGHT ; MAINLAND CHINA ; SEVERITY ; MODEL ; PRECIPITATION ; LAND ; FRAMEWORK ; ONSET
WOS类目	Water Resources
WOS研究方向	Water Resources
来源机构	西北农林科技大学 ; 清华大学
资源类型	期刊论文
条目标识符	http://119.78.100.177/qdio/handle/2XILL650/363938
作者单位	[Zhang, Gengxi; Su, Xiaoling] Northwest A&F Univ, Minist Educ, Key Lab Agr Soil & Water Engn Arid Area, Yangling 712100, Shaanxi, Peoples R China; [Zhang, Gengxi; Su, Xiaoling] Northwest A&F Univ, Coll Water Resources & Architectural Engn, Yangling 712100, Shaanxi, Peoples R China; [Singh, Vijay P.] Texas A&M Univ, Dept Civil Engn, Dept Biol & Agr Engn & Zachry, College Stn, TX 77843 USA; [Singh, Vijay P.] UAE Univ, Natl Water & Energy Ctr, Al Ain, U Arab Emirates; [Ayantobo, Olusola O.] Fed Univ Agr, Dept Water Resources Management & Agr Meteorol, PMB 2240, Abeokuta 110282, Nigeria; [Ayantobo, Olusola O.] Tsinghua Univ, Dept Hydraul Engn, State Key Lab Hydrosci & Engn, Beijing 100084, Peoples R China
推荐引用方式 GB/T 7714	Zhang, Gengxi,Su, Xiaoling,Singh, Vijay P.,et al. Appraising standardized moisture anomaly index (SZI) in drought projection across China under CMIP6 forcing scenarios[J]. 西北农林科技大学, 清华大学,2021,37.
APA	Zhang, Gengxi,Su, Xiaoling,Singh, Vijay P.,&Ayantobo, Olusola O..(2021).Appraising standardized moisture anomaly index (SZI) in drought projection across China under CMIP6 forcing scenarios.JOURNAL OF HYDROLOGY-REGIONAL STUDIES,37.
MLA	Zhang, Gengxi,et al."Appraising standardized moisture anomaly index (SZI) in drought projection across China under CMIP6 forcing scenarios".JOURNAL OF HYDROLOGY-REGIONAL STUDIES 37(2021).