Development of a nonstationary Standardized Precipitation Evapotranspiration Index (NSPEI) and its application across China

被引:22
|
作者
Sun, Peng [1 ,2 ]
Ge, Chenhao [1 ,2 ]
Yao, Rui [1 ,3 ]
Bian, Yaojin [1 ]
Yang, Huilin [1 ]
Zhang, Qiang [4 ]
Xu, Chong-Yu [5 ]
Singh, Vijay P. [6 ,7 ]
机构
[1] Anhui Normal Univ, Sch Geog & Tourism, Wuhu 241002, Peoples R China
[2] Anhui Normal Univ, State Key Lab Earth Surface Proc & Resource Respon, Wuhu 241002, Peoples R China
[3] Anhui Normal Univ, Engn Technol Res Ctr Resources Environm & GIS, Wuhu 241002, Peoples R China
[4] Beijing Normal Univ, Adv Interdisciplinary Inst Environm & Ecol, Zhuhai 519087, Peoples R China
[5] Univ Oslo, Dept Geosci & Hydrol, POB Blindern,N-0-16, N-1047 Oslo, Norway
[6] Texas A&M Univ, Dept Biol & Agr Engn, College Stn, TX USA
[7] Texas A&M Univ, Zachry Dept Civil & Environm Engn, College Stn, TX USA
基金
美国国家科学基金会;
关键词
Standardized Precipitation Evapotranspiration; Index; Nonstationarity SPEI; Drought monitoring; China; DROUGHT; STATIONARITY;
D O I
10.1016/j.atmosres.2024.107256
中图分类号
P4 [大气科学(气象学)];
学科分类号
0706 ; 070601 ;
摘要
Drought is a natural disaster and its occurrence and development can be attributed to a range of driving factors, such as deficient precipitation, wind, temperature, land use/land cover changes, and so on. Therefore, attribution and monitoring of droughts are complicated and challenging. Standardized Precipitation Evapotranspiration Index (SPEI) has been widely used in meteorological drought monitoring. Nonstationarity has not been considered in SPEI-based drought monitoring. Here we propose a modified SPEI considering the nonstationarity of hydrometeorological processes, i.e. NSPEI hereafter. We observe nonstationarity SPEI in the Northeast, the Huang -Huai -Hai Plain, the Yangtze River Delta, and the Qinghai -Tibet Plateau. The goodness-of-fit can be determined for 76% of the total stations. Under the assumption of nonstationarity, the drought monitoring performance of the NSPEI is more robust than the traditional SPEI. Besides, we evaluate drought conditions across China under four shared socioeconomic pathways (SSPs), i.e. SSP126, SSP245, SSP370 and SSP585. We identify intensifying droughts in southwest China but a wetting tendency in northern China in winter under the SSP126 scenario; but a significant wetting tendency in southwest China and a drying tendency in northeast China under SSP245, SSP370 and SSP585 scenarios. This study provides a novel meteorological drought index and highlights a fresh picture of drought conditions across China under different SSPs.
引用
收藏
页数:14
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