| 摘要: |
| 为研究对厄尔尼诺触发有重要作用的赤道太平洋西风爆发事件（简称“西风事件”），本文利用ERA-Interim和NCEP2（NCEP-DOE Reanalysis 2）风场资料以及OI（NOAA OI SST V2 High Resolution Dataset）海表面温度资料对西风事件时空特征进行研究，并初步分析西风事件时空特征受ENSO（El Ni?o-Southern Oscillation）信号的影响。研究结果显示，西风事件初期主要集中在中西部太平洋，季节性变化表现为冬春季较强，夏秋季较弱。西风事件频率和强度都有一定的年际变化特征，其中西风事件的强度与ENSO信号的关系更密切。与ENSO信号关系密切的西风事件集中在中太平洋。当Nino3.4指数大于1℃时，西风事件的频率和强度与ENSO信号更密切。当Nino3.4指数小于1℃时，西风事件的频率随机性更强，但其强度与ENSO信号关系密切。研究结果对于分析西风事件的时空特征及其受ENSO信号的影响有一定的参考价值。 |
| 关键词: 西风爆发事件 西风爆发事件时空特征 厄尔尼诺 海气相互作用 |
| DOI：10.11759/hykx20170117003 |
| 分类号:P47 |
| 基金项目:国家自然科学基金项目（面上项目，重点项目，重大项目） |
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| Equatorial Pacific Westerly Wind Burst Event Feature Analysis |
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ZHUANG Zhen1, WANG Fa-ming1, YANG Yu-xing1, ZHENG Jian1, WANG Meng-yang1, LI Qiong2
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1.Institute of Oceanology,the Chinese Academy of Sciences;2.Shandong Marine Forecast and Hazard Mitigation Service
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| Abstract: |
| In order to conduct research on equatorial Pacific westerly wind burst event (WWE) which is vital to the triggering of El Ni?o and based on the ERA-Interim wind data, NCEP2 (NCEP-DOE Reanalysis 2) wind data and OI (NOAA OI SST V2 High Resolution Dataset) sea surface temperature data, the study analyzes on the WW feature and the relationship between the WWE feature and the sea surface temperature. The results shows that, at the beginning, WWE mainly locates in the middle and west Pacific Ocean. In addition, it has different performance in different seasons, with the strongest amplitude and frequency in spring and winter, the weaker in summer and weakest in autumn. Its frequency and amplitude share the feature of the annual variations, compared with frequency, the amplitude is more closely related to the sea surface temperature. WWE which is concerned with El Ni?o mainly locates in the middle Pacific. When the Ni?o 3.4 index is higher than one degree, its frequency and amplitude is closer to sea surface temperature. When it is lower than one degree, there is much uncertainty in its frequency while the relationship between WWE amplitude and sea surface temperature remains close. As a study of WWE feature analysis this paper can deepen the deep understanding of air-sea interaction. |
| Key words: westerly wind burst event westerly wind burst event feature analysis El Ni?o air-sea interaction |