A new framework for the identification of flash drought: Multivariable and probabilistic statistic perspectives Identification of flash drought
文献类型：期刊论文
| 作者 | Hu, Chen1,2; Xia, Jun1,2,3 ; She, Dunxian1,2; Li, Lingcheng4; Song, Zhihong1,2; Hong, Si1,2
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| 刊名 | INTERNATIONAL JOURNAL OF CLIMATOLOGY
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| 出版日期 | 2021-05-12 |
| 页码 | 17 |
| 关键词 | flash drought identification framework linearly multivariate indicator precipitation deficit soil moisture shortage the Loess Plateau |
| ISSN号 | 0899-8418 |
| DOI | 10.1002/joc.7157 |
| 通讯作者 | She, Dunxian(shedunxian@whu.edu.cn) |
| 英文摘要 | Flash drought is distinguished with seasonal drought by its characteristics of sudden onset and rapid intensification, and has attracted increasing concern due to the severe negative impacts on socioeconomic development and ecosystems. To accurate identify the onset time and propagation of flash drought is still a big challenge, as it is influenced by many factors (e.g., deficit in precipitation, increase in evapotranspiration and temperature, shortage in soil moisture, and etc.). This study aims to develop a probabilistic and multivariable flash drought identification method (PMFDI) from the perspective of considering the interaction effects from different driving factors on flash drought occurrence and propagation with a multivariable statistical tool. The PMFDI uses the weekly standardized precipitation evapotranspiration index and the standardized soil moisture index to describe the abnormally changes in multiple hydrometeorological variables over a short duration. The linearly multivariable index (LMI) is employed to describe the correlation relationship between multiple hydrometeorological variables and to identify flash droughts from the aspects of sudden onset and rapid intensification. We select the Loess Plateau (LP) in China to verify the efficiency of the developed PMFDI with the comparison to the other two recently proposed flash drought identification methods. The results indicate that PMFDI can identify high- and low- frequency regions similar to those identified by the other two methods and can generally recognize actual flash droughts. In addition, the PMFDI can capture the comprehensive impact of multiple hydrometeorological variables as well as their interaction on flash drought occurrence, which provides a useful perspective to understand the propagation processes of the actual flash droughts in the LP. |
| WOS关键词 | CHINA LOESS PLATEAU ; PRECIPITATION DEFICIT ; SOIL-MOISTURE ; FORCING DATA ; RIVER-BASIN ; ONSET ; SIMULATIONS ; CHALLENGES ; DATASET ; INDEX |
| 资助项目 | Fundamental Research Funds for the Central Universities[2042018kf0222] ; National Key Research and Development Program of China[2016YFC0402709] ; Strategic Priority Research Program of the Chinese Academy of Sciences[XDA23040304] |
| WOS研究方向 | Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000649582400001 |
| 出版者 | WILEY |
| 资助机构 | Fundamental Research Funds for the Central Universities ; National Key Research and Development Program of China ; Strategic Priority Research Program of the Chinese Academy of Sciences |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/161642]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | She, Dunxian |
| 作者单位 | 1.Wuhan Univ, State Key Lab Water Resources & Hydropower Engn S, Wuhan 430072, Peoples R China 2.Wuhan Univ, Hubei Key Lab Water Syst Sci Sponge City Construc, Wuhan, Peoples R China 3.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing, Peoples R China 4.Pacific Northwest Natl Lab, Atmospher Sci & Global Change Div, Richland, WA 99352 USA |
| 推荐引用方式 GB/T 7714 | Hu, Chen,Xia, Jun,She, Dunxian,et al. A new framework for the identification of flash drought: Multivariable and probabilistic statistic perspectives Identification of flash drought[J]. INTERNATIONAL JOURNAL OF CLIMATOLOGY,2021:17. |
| APA | Hu, Chen,Xia, Jun,She, Dunxian,Li, Lingcheng,Song, Zhihong,&Hong, Si.(2021).A new framework for the identification of flash drought: Multivariable and probabilistic statistic perspectives Identification of flash drought.INTERNATIONAL JOURNAL OF CLIMATOLOGY,17. |
| MLA | Hu, Chen,et al."A new framework for the identification of flash drought: Multivariable and probabilistic statistic perspectives Identification of flash drought".INTERNATIONAL JOURNAL OF CLIMATOLOGY (2021):17. |
入库方式： OAI收割
来源：地理科学与资源研究所
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