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DOI10.1029/2020GL088179
Distinct Growth Rates of the Two ENSO Types
Ren H.-L.; Wang R.
发表日期2020
ISSN 0094-8276
卷号47期号:16
英文摘要El Niño-Southern Oscillation (ENSO) events can be grouped into two types based on their sea surface temperature anomaly spatial patterns, that is, eastern Pacific (EP) and central Pacific (CP) types. In this study, we propose a new method to empirically diagnose linear growth rates of the EP and CP ENSO types due to a limitation of applying the traditional Bjerknes stability index method simply to these two types. We spatially project the peak-time symmetric component of the mixed-layer oceanic heat budget terms onto the ENSO-related sea surface temperature anomaly patterns to estimate the ENSO grow rate. After validating the method by comparing it with the Bjerknes stability index, we show that the growth rate is positive for the CP ENSO type and weakly negative for the EP ENSO type, contributed by different feedback terms. The Coupled Model Intercomparison Project Phase 5-based multimodel ensemble mean shows similar characteristics as the reanalysis for the EP ENSO type rather than the CP ENSO type. ©2020. American Geophysical Union. All Rights Reserved.
英文关键词Atmospheric pressure; Atmospheric temperature; Climatology; Oceanography; Submarine geophysics; Surface properties; Surface waters; Coupled Model Intercomparison Project; Linear growth rate; Multi-model ensemble; Sea surface temperature anomalies; Southern oscillation; Spatial patterns; Stability indices; Symmetric components; Growth rate; CMIP; El Nino-Southern Oscillation; heat budget; mixed layer; sea surface temperature; spatial analysis; temperature anomaly; Pacific Ocean; Pacific Ocean (Central); Pacific Ocean (East)
语种英语
来源期刊Geophysical Research Letters
文献类型期刊论文
条目标识符http://gcip.llas.ac.cn/handle/2XKMVOVA/169858
作者单位State Key Laboratory of Severe Weather, Chinese Academy of Meteorological Sciences, Beijing, China; College of Earth and Planetary Sciences, University of Chinese Academy of Sciences, Beijing, China; Laboratory for Climate Studies and& CMA-NJU Joint Laboratory for Climate Prediction Studies, National Climate Center, China Meteorological Administration, Beijing, China; Department of Atmospheric Science, School of Environmental Studies, China University of Geoscience, Wuhan, China
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Ren H.-L.,Wang R.. Distinct Growth Rates of the Two ENSO Types[J],2020,47(16).
APA Ren H.-L.,&Wang R..(2020).Distinct Growth Rates of the Two ENSO Types.Geophysical Research Letters,47(16).
MLA Ren H.-L.,et al."Distinct Growth Rates of the Two ENSO Types".Geophysical Research Letters 47.16(2020).
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