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太平洋风对厄尔尼诺-南方涛动多样性的影响。

The influence of pacific winds on ENSO diversity.

作者信息

Capotondi Antonietta, Ricciardulli Lucrezia

机构信息

Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO, USA.

NOAA/Physical Sciences Laboratory, 325 Broadway, Boulder, CO, 80305, USA.

出版信息

Sci Rep. 2021 Sep 21;11(1):18672. doi: 10.1038/s41598-021-97963-4.

DOI:10.1038/s41598-021-97963-4
PMID:34548544
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC8455613/
Abstract

The differences in ENSO sea surface temperature (SST) spatial patterns, whether centered in the Eastern Pacific (EP), Central Pacific (CP) or in the eastern-central equatorial region ("canonical") have been associated to differences in atmospheric teleconnections and global impacts. However, predicting different types of ENSO events has proved challenging, highlighting the need for a deeper understanding of their predictability. Given the key role played by wind variations in the development and evolution of ENSO events, this study examines the relationship between the leading modes of Pacific surface wind speed variability and ENSO diversity using three different state-of-the-art wind products, including satellite observations and atmospheric reanalyses. Although previous studies have associated different ENSO precursors to either EP or CP events, our results indicate that the most prominent of those ENSO precursors are primarily related to canonical and CP events, and show little correlation with EP events. The latter are associated with tropical Pacific conditions favoring equatorial westerly wind and precipitation anomalies that extend all the way to the eastern Pacific. Results over the entire twentieth century period versus those during the satellite era also suggest that the influences from the Southern Hemisphere may be more robust than those from the Northern Hemisphere.

摘要

厄尔尼诺-南方涛动(ENSO)海表面温度(SST)空间模式的差异,无论其中心位于东太平洋(EP)、中太平洋(CP)还是赤道中东地区(“典型”),都与大气遥相关和全球影响的差异有关。然而,事实证明,预测不同类型的ENSO事件具有挑战性,这凸显了深入了解其可预测性的必要性。鉴于风速变化在ENSO事件发展和演变中所起的关键作用,本研究使用三种不同的最新风速产品,包括卫星观测和大气再分析,来研究太平洋表面风速变化的主要模式与ENSO多样性之间的关系。尽管先前的研究已将不同的ENSO前兆与EP或CP事件联系起来,但我们的结果表明,这些ENSO前兆中最显著的主要与典型和CP事件相关,与EP事件的相关性很小。后者与有利于赤道西风和降水异常一直延伸到东太平洋的热带太平洋状况有关。整个20世纪期间的结果与卫星时代的结果相比,也表明南半球的影响可能比北半球的影响更强。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfb1/8455613/c7a5ab5e1e86/41598_2021_97963_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfb1/8455613/7b8a9c211069/41598_2021_97963_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfb1/8455613/36b059f457da/41598_2021_97963_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfb1/8455613/2dfbb1b5f73b/41598_2021_97963_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfb1/8455613/28f19ad58ec5/41598_2021_97963_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfb1/8455613/c7a5ab5e1e86/41598_2021_97963_Fig5_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfb1/8455613/7b8a9c211069/41598_2021_97963_Fig1_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfb1/8455613/36b059f457da/41598_2021_97963_Fig2_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfb1/8455613/2dfbb1b5f73b/41598_2021_97963_Fig3_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfb1/8455613/28f19ad58ec5/41598_2021_97963_Fig4_HTML.jpg
https://cdn.ncbi.nlm.nih.gov/pmc/blobs/dfb1/8455613/c7a5ab5e1e86/41598_2021_97963_Fig5_HTML.jpg

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本文引用的文献

1
Absence of internal multidecadal and interdecadal oscillations in climate model simulations.气候模型模拟中不存在内部多年代际和年代际振荡。
Nat Commun. 2020 Jan 3;11(1):49. doi: 10.1038/s41467-019-13823-w.
2
Predictability of US West Coast Ocean Temperatures is not solely due to ENSO.美国西海岸海洋温度的可预测性并不完全归因于厄尔尼诺-南方涛动现象(ENSO)。
Sci Rep. 2019 Jul 29;9(1):10993. doi: 10.1038/s41598-019-47400-4.
3
How much more rain will global warming bring?全球变暖会带来多少额外降雨?
Science. 2007 Jul 13;317(5835):233-5. doi: 10.1126/science.1140746. Epub 2007 May 31.