Arid
DOI10.3390/atmos13111764
Impact of ENSO Events on Droughts in China
Lv, Aifeng; Fan, Lei; Zhang, Wenxiang
通讯作者Lv, A
来源期刊ATMOSPHERE
EISSN2073-4433
出版年2022
卷号13期号:11
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.
英文关键词ENSO drought intensity of ENSO China
类型Article
语种英语
开放获取类型gold
收录类别SCI-E
WOS记录号WOS:000881045400001
WOS关键词NINO-SOUTHERN-OSCILLATION ; RIVER-BASIN ; PRECIPITATION ; RAINFALL ; VARIABILITY ; IDENTIFICATION ; PREDICTION ; PROVINCE ; SPELLS
WOS类目Environmental Sciences ; Meteorology & Atmospheric Sciences
WOS研究方向Environmental Sciences & Ecology ; Meteorology & Atmospheric Sciences
资源类型期刊论文
条目标识符http://119.78.100.177/qdio/handle/2XILL650/391931
推荐引用方式
GB/T 7714
Lv, Aifeng,Fan, Lei,Zhang, Wenxiang. Impact of ENSO Events on Droughts in China[J],2022,13(11).
APA Lv, Aifeng,Fan, Lei,&Zhang, Wenxiang.(2022).Impact of ENSO Events on Droughts in China.ATMOSPHERE,13(11).
MLA Lv, Aifeng,et al."Impact of ENSO Events on Droughts in China".ATMOSPHERE 13.11(2022).
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