globalchange  > 过去全球变化的重建
DOI: 10.1016/j.jhydrol.2019.03.060
WOS记录号: WOS:000474327800048
论文题名:
Attributing changes in future extreme droughts based on PDSI in China
作者: Zhang, Jie1; Sun, Fubao1,2,3; Lai, Wenli4; Lim, Wee Ho1; Liu, Wenbin1; Wang, Tingting1; Wang, Pengtao5,6
通讯作者: Sun, Fubao
刊名: JOURNAL OF HYDROLOGY
ISSN: 0022-1694
EISSN: 1879-2707
出版年: 2019
卷: 573, 页码:607-615
语种: 英语
英文关键词: Extreme drought ; Global warming ; Numerical experiments ; Attribution ; China
WOS关键词: GLOBAL DROUGHT ; RISK ; PRECIPITATION ; INCREASE
WOS学科分类: Engineering, Civil ; Geosciences, Multidisciplinary ; Water Resources
WOS研究方向: Engineering ; Geology ; Water Resources
英文摘要:

Climate change in mean-state or variability could lead to more/less frequency of extreme drought. In this study, we developed a new framework for decomposing the contributing factors of changes in future extreme drought frequency in China in accordance to the Palmer Drought Severity Index (PDSI). We performed a series of numerical experiments to ensure that the sensitivity of trend and variability in individual climatic variables can be distinguished. In addition, an extreme drought rate with warming (EDRW, unit: %.K-1) is defined to quantify the relative change in extreme drought frequency per Kelvin. Overall, the EDRW will increase dramatically by an average of 27.71%.K-1. The ascended EDRW are attributed to increases in temperature (+56.90%.K-1), net radiation (14.80%.K-1) and precipitation variability (+8.23%.K-1); a decrease in relative humidity (+4.61%K-1), but is partly offset by an increase in precipitation (i.e., "wetting", -60.12%.K-1). A smaller increase in the frequency of extreme droughts is found in high-latitude regions due to their enhanced sensitivity to "wetting".


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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/138877
Appears in Collections:过去全球变化的重建

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作者单位: 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China
2.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, Urumqi, Peoples R China
3.Chinese Acad Sci, Ctr Water Resources Res, Beijing, Peoples R China
4.Hainan Normal Univ, Sch Geog & Environm Sci, Haikou, Hainan, Peoples R China
5.Xian Int Studies Univ, Sch Tourism, Xian 710128, Shaanxi, Peoples R China
6.Xian Int Studies Univ, Res Inst Human Geog, Xian 710128, Shaanxi, Peoples R China

Recommended Citation:
Zhang, Jie,Sun, Fubao,Lai, Wenli,et al. Attributing changes in future extreme droughts based on PDSI in China[J]. JOURNAL OF HYDROLOGY,2019-01-01,573:607-615
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