Multi-year La Niña frequency tied to southward tropical Pacific wind shift

IF 8.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES npj Climate and Atmospheric Science Pub Date : 2024-09-30 DOI:10.1038/s41612-024-00772-5
Guojian Wang, Agus Santoso
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Abstract

Multi-year La Niña events cause prolonged climate disruptions worldwide, but a systematic understanding of the underlying mechanisms is not yet established. Here we show using observations and models from the sixth phase of Coupled Model Intercomparison Project that a greater frequency of consecutive La Niña events is tied to the upper equatorial Pacific Ocean when it favors more rapid heat discharge. The propensity for heat discharge is underscored by negative skewness in upper-ocean heat content, underpinned by southward tropical Pacific wind shift during austral summer. Models with stronger westerly anomalies south of the equator simulate steeper east-to-west upward tilt of the thermocline that is favorable for a greater discharge rate. This highlights the crucial role of the southward wind shift in the nonlinear system of the El Niño-Southern Oscillation. The large inter-model spread in multi-year La Niña processes underscores the need in constraining models for reliable climate prediction and projection.

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多年期拉尼娜现象的频发与热带太平洋风向南移有关
多年的拉尼娜现象会在全球范围内造成长时间的气候紊乱,但对其基本机制的系统认识尚未建立。在这里,我们利用耦合模式相互比较项目第六阶段的观测数据和模式表明,当赤道太平洋上层有利于更快地排出热量时,连续拉尼娜现象就会更频繁地发生。上层海洋热量含量的负偏度强调了热量排放的倾向,而夏季热带太平洋风向的南移则是这一倾向的基础。赤道以南西风异常较强的模式模拟出的热层自东向西向上倾斜较陡,有利于提高排热速率。这凸显了南风转向在厄尔尼诺-南方涛动非线性系统中的关键作用。多年拉尼娜过程中模式间的巨大差异突出表明,需要对模式进行制约,以进行可靠的气候预测和预报。
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来源期刊
npj Climate and Atmospheric Science
npj Climate and Atmospheric Science Earth and Planetary Sciences-Atmospheric Science
CiteScore
8.80
自引率
3.30%
发文量
87
审稿时长
21 weeks
期刊介绍: npj Climate and Atmospheric Science is an open-access journal encompassing the relevant physical, chemical, and biological aspects of atmospheric and climate science. The journal places particular emphasis on regional studies that unveil new insights into specific localities, including examinations of local atmospheric composition, such as aerosols. The range of topics covered by the journal includes climate dynamics, climate variability, weather and climate prediction, climate change, ocean dynamics, weather extremes, air pollution, atmospheric chemistry (including aerosols), the hydrological cycle, and atmosphere–ocean and atmosphere–land interactions. The journal welcomes studies employing a diverse array of methods, including numerical and statistical modeling, the development and application of in situ observational techniques, remote sensing, and the development or evaluation of new reanalyses.
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