Relative humidity and solar radiation exacerbate snow drought risk in the headstreams of the Tarim River
文献类型：期刊论文
| 作者 | Wang, Zhixia1; Huang, Shengzhi1; Mu, Zhenxia2,3; Leng, Guoyong4; Duan, Weili5,6; Ling, Hongbo5; Xu, Jia7; Zheng, Xudong1; Li, Pei1; Li, Ziyan1 |
| 刊名 | ATMOSPHERIC RESEARCH
 |
| 出版日期 | 2024 |
| 卷号 | 297页码:18 |
| 关键词 | Snow drought risk Copula function Equitable threat score Multivariable return period Dynamic drought risk |
| ISSN号 | 0169-8095 |
| DOI | 10.1016/j.atmosres.2023.107091 |
| 通讯作者 | Huang, Shengzhi(huangshengzhi7788@126.com) |
| 英文摘要 | Snow drought is commonly defined as the phenomenon of abnormally low snow snowpack caused by belownormal precipitation and/or above-normal temperatures for a period of time. This poses a critical knowledge gap, requiring a deeper understanding of its multivariate risk under various scenarios, dynamics, and driving mechanisms in a changing environment. In this study, we constructed a density kernel estimation for the Nonparametric Standardized SWE Index (NSWEI) to gain new insights into the implications of snow drought. We further demonstrated its ability, specifically the ability Equitable Threat Score (ETS), to anticipate warm-season hydrological droughts using a Random Forest (RF) model. In addition, we applied the concept of multivariable return periods under different scenarios for snow drought risk assessment in combination with Copula theory and its dynamics under a changing environment. This exploration was followed by a preliminary attribution analysis. Our results indicate that: (1) the NSWEI is more reasonable in characterizing snow drought than previous snowpack metrics; (2) the most probable droughts (occurring with less than a 50-year return period) belong to the moderate drought scenario; (3) the interaction between vapor pressure deficit and solar radiation significantly influences static risk, while the Digital Elevation Model (DEM) also plays undeniable roles in affecting snow drought risk; (4) a contrasting pattern is found in spatial distribution of snow drought risk dynamics, with an exacerbating snow drought risk observed in the southern part; and (5) the increasing snow drought risks in the south are generally triggered by reducing relative humidity and increasing solar radiation. Overall, this study provides new insights into snow drought risk and its dynamics, which are important for developing robust and effective management practices. |
| WOS关键词 | WESTERN UNITED-STATES ; CLIMATE-CHANGE ; COVER ; RUNOFF ; CATCHMENT ; DEFICIT ; BASIN |
| 资助项目 | National Natural Science Foundation of China[52279026] ; National Natural Science Foundation of China[51969029] ; National Natural Science Foundation of China[52269007] ; Key Research and Development Program of Xinjiang Uygur Autonomous Region[2022B03024-4] ; National Key Research and Development Program of China[2021YFC3000203] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA28060100] ; Doctoral Dissertation Innovation Funding of Xi'a University of Technology[310-252072212] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:001113682700001 |
| 出版者 | ELSEVIER SCIENCE INC |
| 资助机构 | National Natural Science Foundation of China ; Key Research and Development Program of Xinjiang Uygur Autonomous Region ; National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences ; Doctoral Dissertation Innovation Funding of Xi'a University of Technology |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/200463]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Huang, Shengzhi |
| 作者单位 | 1.Xian Univ Technol, Sch Water Resources & Hydropower, State Key Lab Ecohydraul Northwest Arid Reg China, Xian 710048, Peoples R China 2.Xinjiang Agr Univ, Coll Water Conservancy & Civil Engn, Urumqi 830052, Xinjiang, Peoples R China 3.Xinjiang Key Lab Hydraul Engn Secur & Water Disast, Urumqi 830052, Xinjiang, Peoples R China 4.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 5.Chinese Acad Sci, Xinjiang Inst Ecol & Geog, State Key Lab Desert & Oasis Ecol, Urumqi 830011, Peoples R China 6.Univ Chinese Acad Sci, Beijing 100049, Peoples R China 7.Yellow River Survey Planning Design & Res Inst Co, Zhengzhou 450003, Henan, Peoples R China 8.Engn Res Ctr Water Resources & Ecol Water Conserva, Urumqi 830011, Peoples R China 9.UFZ Helmholtz Ctr Environm Res, Dept Remote Sensing, Leipzig, Germany 10.Univ Leipzig, Remote Sensing Ctr Earth Syst Res, Leipzig, Germany |
| 推荐引用方式 GB/T 7714 | Wang, Zhixia,Huang, Shengzhi,Mu, Zhenxia,et al. Relative humidity and solar radiation exacerbate snow drought risk in the headstreams of the Tarim River[J]. ATMOSPHERIC RESEARCH,2024,297:18. |
| APA | Wang, Zhixia.,Huang, Shengzhi.,Mu, Zhenxia.,Leng, Guoyong.,Duan, Weili.,...&Peng, Jian.(2024).Relative humidity and solar radiation exacerbate snow drought risk in the headstreams of the Tarim River.ATMOSPHERIC RESEARCH,297,18. |
| MLA | Wang, Zhixia,et al."Relative humidity and solar radiation exacerbate snow drought risk in the headstreams of the Tarim River".ATMOSPHERIC RESEARCH 297(2024):18. |
入库方式： OAI收割
来源：地理科学与资源研究所
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