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2016年印度洋偶极负相位的成因、可预测性及其对拉尼娜现象的影响

Causes and Predictability of the Negative Indian Ocean Dipole and Its Impact on La Niña During 2016.

作者信息

Lim Eun-Pa, Hendon Harry H

机构信息

Bureau of Meteorology, Melbourne, VIC 3001, Australia.

出版信息

Sci Rep. 2017 Oct 3;7(1):12619. doi: 10.1038/s41598-017-12674-z.

DOI:10.1038/s41598-017-12674-z
PMID:28974713
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC5626717/
Abstract

In the latter half of 2016 Indonesia and Australia experienced extreme wet conditions and East Africa suffered devastating drought, which have largely been attributed to the occurrence of strong negative Indian Ocean Dipole (IOD) and weak La Niña. Here we examine the causes and predictability of the strong negative IOD and its impact on the development of La Niña in 2016. Analysis on atmosphere and ocean reanalyses and forecast sensitivity experiments using the Australian Bureau of Meteorology's dynamical seasonal forecast system reveals that this strong negative IOD, which peaked in July-September, developed primarily by the Indian Ocean surface and subsurface conditions. The long-term trend over the last 55 years in sea surface and subsurface temperatures, which is characterised by warming of the tropical Indian and western Pacific and cooling in the equatorial eastern Pacific, contributed positively to the extraordinary strength of this IOD. We further show that the strong negative IOD was a key promoter of the weak La Niña of 2016. Without the remote forcing from the IOD, this weak La Niña may have been substantially weaker because of the extraordinarily long-lasting warm surface condition over the dateline from the tail end of strong El Niño of 2015-16.

摘要

2016年下半年,印度尼西亚和澳大利亚遭遇极端潮湿天气,东非则遭受严重干旱,这在很大程度上归因于强负印度洋偶极子(IOD)的出现和弱拉尼娜现象。在此,我们研究了2016年强负IOD的成因、可预测性及其对拉尼娜现象发展的影响。利用澳大利亚气象局的动力季节预测系统对大气和海洋再分析资料以及预测敏感性试验进行分析,结果表明,在7月至9月达到峰值的这种强负IOD主要是由印度洋的表层和次表层状况所引发。过去55年中,海表和次表层温度的长期趋势表现为热带印度洋和西太平洋变暖,赤道东太平洋变冷,这对该IOD的异常强度起到了正向作用。我们进一步表明,强负IOD是2016年弱拉尼娜现象的关键推动因素。若没有IOD的遥相关强迫作用,由于2015 - 16年强厄尔尼诺现象末期日界线附近异常持久的暖表层状况,此次弱拉尼娜现象可能会弱得多。

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本文引用的文献

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