Impact of ENSO Events on Droughts in China
文献类型：期刊论文
| 作者 | Lv, Aifeng1,2; Fan, Lei1,3; Zhang, Wenxiang3 |
| 刊名 | ATMOSPHERE
 |
| 出版日期 | 2022-11-01 |
| 卷号 | 13期号:11页码:22 |
| 关键词 | ENSO drought intensity of ENSO China |
| DOI | 10.3390/atmos13111764 |
| 通讯作者 | Lv, Aifeng(lvaf@igsnrr.ac.cn) |
| 英文摘要 | The El Nino Southe58rn Oscillation (ENSO) is a typical oscillation affecting climate change, and its stable periodicity, long-lasting effect, and predictable characteristics have become important indicators for regional climate prediction. In this study, we analyze the Standardized Precipitation Evapotranspiration Index (SPEI), the Nino3.4 index, the Southern Oscillation Index (SOI), and the Multivariate ENSO Index (MEI). Additionally, we explore the spatial and temporal distribution of the correlation coefficients between ENSO and SPEI and the time lag between ENSO events of varying intensities and droughts. The results reveal that the use of Nino3.4, MEI, and SOI produces differences in the occurrence time, end time, and intensity of ENSO events. Nino3.4 and MEI produce similar results for identifying ENSO events, and the Nino3.4 index accurately identifies and describes ENSO events with higher reliability. In China, the drought-sensitive areas vulnerable to ENSO events include southern China, the Jiangnan region, the middle and lower reaches of the Yangtze River, and the arid and semi-arid areas of northwestern China. Droughts in these areas correlate significantly with meteorological drought, and time-series correlations between ENSO events and droughts are significantly stronger in regions close to the ocean. Drought occurrence lags ENSO events: when using the Nino3.4 index to identify ENSO, droughts lag the strongest and weakest El Nino events by 0-12 months. However, when using the MEI as a criterion for ENSO, droughts lag the strongest and weakest El Nino events by 0-7 months. The time lag between the strongest ENSO event and drought is shorter than that for the weakest ENSO event, and droughts have a wider impact. The results of this study can provide a climate-change-compatible basis for drought monitoring and prediction. |
| WOS关键词 | NINO-SOUTHERN-OSCILLATION ; RIVER-BASIN ; PRECIPITATION ; RAINFALL ; VARIABILITY ; IDENTIFICATION ; PREDICTION ; PROVINCE ; SPELLS |
| 资助项目 | National Key Research and Development Program of China[2021YFC3000201] ; Basic Research Program of Qinghai Province[2020-ZJ-715] |
| WOS研究方向 | Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences |
| 语种 | 英语 |
| WOS记录号 | WOS:000881045400001 |
| 出版者 | MDPI |
| 资助机构 | National Key Research and Development Program of China ; Basic Research Program of Qinghai Province |
| 源URL | [http://ir.igsnrr.ac.cn/handle/311030/186878]  |
| 专题 | 中国科学院地理科学与资源研究所 |
| 通讯作者 | Lv, Aifeng |
| 作者单位 | 1.Chinese Acad Sci, Inst Geog Sci & Nat Resources Res, Key Lab Water Cycle & Related Land Surface Proc, Beijing 100101, Peoples R China 2.Univ Chinese Acad Sci, Coll Resource & Environm, Beijing 100049, Peoples R China 3.Yunnan Normal Univ, Dept Geog, Key Lab Plateau Geog Proc & Environm Change, Kunming 650500, Yunnan, Peoples R China |
| 推荐引用方式 GB/T 7714 | Lv, Aifeng,Fan, Lei,Zhang, Wenxiang. Impact of ENSO Events on Droughts in China[J]. ATMOSPHERE,2022,13(11):22. |
| APA | Lv, Aifeng,Fan, Lei,&Zhang, Wenxiang.(2022).Impact of ENSO Events on Droughts in China.ATMOSPHERE,13(11),22. |
| MLA | Lv, Aifeng,et al."Impact of ENSO Events on Droughts in China".ATMOSPHERE 13.11(2022):22. |
入库方式： OAI收割
来源：地理科学与资源研究所
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