自20世纪60年代以来,由内部气候变率驱动的多年La Niña增加

IF 8.5 1区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES
Shichu Liu, Lu Dong, Lixin Wu, Wenju Cai, Fengfei Song, Fan Jia, Tao Geng, Michael J. McPhaden, Yishuai Jin
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引用次数: 0

摘要

自20世纪60年代以来,多年La Niña (ML)发生得更为频繁,但它是否以及在多大程度上是由外部强迫造成的仍不得而知。在这里,我们使用15个大集合(LENS)实验,在相同的外强迫下,有~500个实现,我们发现外部强迫只贡献了18%的1960年后的ML增加。观测到的ML增加主要归因于强El Niño (SE)向ML的转变速率增加,其频率增加的贡献相对较小。然而,在外力作用下,实验中SE振幅保持不变。这表明,内部变率在SE振幅的增加中起主导作用,从而增加了SE的过渡和ML频率。与较强的东南风相关,热带太平洋以外的一些因素变得更加活跃,也有利于ML的发展。内部变异性的重要作用是通过比较跨LENS转换速率增加最高的成员的SE振幅和ML频率变化与观测结果来证实的。
本文章由计算机程序翻译,如有差异,请以英文原文为准。

Increased multi-year La Niña since 1960s driven by internal climate variability

Increased multi-year La Niña since 1960s driven by internal climate variability

Multi-year La Niña (ML) has occurred more frequently since the 1960s, but whether and to what extent it is due to external forcing remains unknown. Here, using 15 large ensemble (LENS) experiments under the same external forcing with ~500 realizations, we find that external forcings contribute only 18% of the post-1960 ML increase. The observed ML increase is mainly attributed to the higher transition rate of strong El Niño (SE) into ML because of increased SE amplitude, with a relatively small contribution from its increased frequency. However, the SE amplitude remains unchanged in the experiments under external forcing. It suggests that internal variability plays a dominant role in the increased SE amplitude in observations, hence increases its transition and the ML frequency. Associated with stronger SE, some factors outside the tropical Pacific become more active, also favoring ML development. The essential role of internal variability is confirmed by comparing the SE amplitude and ML frequency changes in members with the highest increased transition rate across LENS with observations.

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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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