Different Responses of Central Asian Precipitation to Strong and Weak El Niño Events
Zhang Chen, Renguang Wu, Yong Zhao, Zhibiao Wang
Chengdu University of Information Technology Southern Marine Science and Engineering Guangdong Laboratory (Guangzhou) Southern Marine Science and Engineering Guangdong Laboratory (Zhuhai) Zhejiang University
阅读操作
确认中在文库中上传 PDF 后可生成中文音频讲解。
摘要与影响
The present study investigated impacts of strong and weak El Niño events on central Asian precipitation variability from El Niño developing years to decaying years. It is found that strong El Niño events persistently enhance central Asian precipitation from the mature winter to decaying summer. Large warm sea surface temperature (SST) anomalies in the tropical central-eastern Pacific induce anomalous upper-level divergence and updraft over central Asia through large-scale convergence and divergence in the mature winter and decaying spring. Meanwhile, the associated wind anomalies induce anomalous eastward and northeastward moisture flux from the North Atlantic and the Arabian Sea to central Asia. Both anomalous ascent and moisture flux convergence favor above-normal precipitation over central Asia in the mature winter and decaying spring. The El Niño events induced central Asian precipitation anomalies that are extended to the decaying summer due to the role of soil moisture. Increased rainfall in winter and spring enhances soil moisture in the following summer, which in turn contributes to more precipitation in summer through modulating regional evaporation. During weak El Niño events, significant wet anomalies are only seen in the developing autumn, which result from anomalous southeastward moisture flux from the Arctic Ocean, and the abnormal signals are weak in the other seasons. The different responses of central Asian precipitation to strong and weak El Niño events may be attributed to the difference in intensity of tropical SST anomalies between the two types of events.
逐年被引趋势
关键指标
同类平均 = 1
同领域 · 同年份 · 同类型
Google Scholar 与 OpenAlex 的被引统计范围不同,数值存在差异属正常。
AI 辅助阅读
依据:摘要
可就本文提问;依据不足时会说明。
学术脉络
学科主题
物理Climate variability and models
Geophysics and Gravity Measurements · Meteorological Phenomena and Simulations
参考文献 51
此处列出前 3 条
引用本文 34
按被引量排序,此处列出前 3 条