气候变化领域集成服务门户(CCPortal): Contrasting characteristics and drivers of dry and warm snow droughts in China 's largest inland river basin

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DOI	10.1016/j.ejrh.2024.101751
	Contrasting characteristics and drivers of dry and warm snow droughts in China 's largest inland river basin
	Wang, Zhixia; Huang, Shengzhi; Singh, Vijay P.; Mu, Zhenxia; Leng, Guoyong; Li, Ji; Duan, Weili; Ling, Hongbo; Xu, Jia; Nie, Mingqiu; Leng, Yulin; Gao, Yuejiao; Guo, Wenwen; Wei, Xiaoting; Deng, Mingjiang; Peng, Jian
发表日期	2024
EISSN	2214-5818
起始页码	53
卷号	53
英文摘要	Study region: The largest inland river basin in China (the Tarim River Basin) Study focus: This study introduces a novel classification scheme for dry and warm snow droughts with focus on their duration, severity, and intensity. The Nonparametric Standardized SWE Index (NSWEI) and the Standardized Precipitation Index (SPI) were employed to assess these drought types. The optimal parameters-based geographical detector (OPGD) model and machine learning (including random forest model and Shapley-XGBoost algorithm) were applied to reveal the spatial and time dynamic driving forces of droughts. New hydrological insights for the regions: Results indicated that warm-type droughts occurred more frequently and with greater intensity, exhibiting a larger spatial coverage compared to dry -type droughts, which can be attributed to warm-type droughts dominated by temperature and vapor pressure deficit, whereas dry -type are predominantly influenced by relative humidity and solar radiation. Moreover, the dynamics of snow droughts exhibited a contrasting pattern between the south (experiencing an upward trend) and the north (experiencing a descending trend). In the south, dry -type droughts were exacerbated by the strength of North Pacific Oscillation (PDO)precipitation coupling, while warm -type droughts are influenced by the strength of North Atlantic Oscillation (NAO)-precipitation coupling and El Nin o Southern Oscillation (ENSO)-precipitation.
英文关键词	Dry-type and warm-type snow droughts; Snow drought characteristics and dynamics; Optimal parameters-based geographical detec-tor model; Random forest; Ocean-atmosphere couplings strength
语种	英语
WOS研究方向	Water Resources
WOS类目	Water Resources
WOS记录号	WOS:001221773600001
来源期刊	JOURNAL OF HYDROLOGY-REGIONAL STUDIES
文献类型	期刊论文
条目标识符	http://gcip.llas.ac.cn/handle/2XKMVOVA/297640
作者单位	Xi'an University of Technology; Texas A&M University System; Texas A&M University College Station; Texas A&M University System; Texas A&M University College Station; United Arab Emirates University; Xinjiang Agricultural University; Chinese Academy of Sciences; Institute of Geographic Sciences & Natural Resources Research, CAS; Chinese Academy of Sciences; Xinjiang Institute of Ecology & Geography, CAS; Chinese Academy of Sciences; University of Chinese Academy of Sciences, CAS; Hohai University; Helmholtz Association; Helmholtz Center for Environmental Research (UFZ); Leipzig University; Xi'an University of Technology
推荐引用方式 GB/T 7714	Wang, Zhixia,Huang, Shengzhi,Singh, Vijay P.,et al. Contrasting characteristics and drivers of dry and warm snow droughts in China 's largest inland river basin[J],2024,53.
APA	Wang, Zhixia.,Huang, Shengzhi.,Singh, Vijay P..,Mu, Zhenxia.,Leng, Guoyong.,...&Peng, Jian.(2024).Contrasting characteristics and drivers of dry and warm snow droughts in China 's largest inland river basin.JOURNAL OF HYDROLOGY-REGIONAL STUDIES,53.
MLA	Wang, Zhixia,et al."Contrasting characteristics and drivers of dry and warm snow droughts in China 's largest inland river basin".JOURNAL OF HYDROLOGY-REGIONAL STUDIES 53(2024).