Evaluation of a Southern Hemispheric ENSO Transition Mode in CMIP6 Models: Insights and Implications

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES
Shikhar Srivastava, Arindam Chakraborty, Raghu Murtugudde
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Abstract

The ENSO Transition Mode (ETM) is a distinct driver of ENSO multidecadal climate variability. The ETM plays an important role in influencing ENSO's seasonal transition from boreal winter to the following summer by affecting zonal winds in the central-eastern equatorial Pacific Ocean during boreal spring. In this study, we show that ETM's spatial pattern and seasonality are robustly captured by the CMIP6 models' historical simulations. However, they struggle to capture its multidecadal variability. Nonetheless, these models effectively depict ETM's influence on equatorial winds, thereby affecting the seasonal transition of ENSO from boreal winter to the following summer (ΔT). We further demonstrate that the models that more accurately represent the relationship between ETM and ΔT (referred to as “Good ETM models”) are those in which ΔT is less influenced by the preceding winter Niño3.4 sea-surface temperature anomalies (N34DJF) and largely influenced by phases of ETM. Additionally, these models better capture the 2–7-year spectral peak observed in N34DJF. On the contrary, Bad ETM models are characterized by a dominant higher-frequency, 2–3-year quasi-biennial peak. Consequently, Good ETM models render ENSO states that align more closely with observations compared with Bad ETM models. This study underscores, through CMIP6 models, the significance of boreal winter ENSO amplitude in influencing how extratropical climate affects the seasonal transitions of ENSO.

厄尔尼诺/南方涛动过渡模式(ETM)是厄尔尼诺/南方涛动十年期气候多变性的一个独特驱动因素。ETM 在影响厄尔尼诺/南方涛动从北半球冬季到次年夏季的季节转换中发挥了重要作用,它影响了北半球春季赤道太平洋中东部的带状风。在这项研究中,我们发现 CMIP6 模式的历史模拟可以很好地捕捉到 ETM 的空间模式和季节性。然而,这些模式很难捕捉到其多年变率。然而,这些模式有效地描述了 ETM 对赤道风的影响,从而影响了厄尔尼诺/南方涛动从寒带冬季到次年夏季(ΔT)的季节转换。我们进一步证明,能更准确地描述 ETM 与 ΔT 关系的模式(称为 "良好 ETM 模式")是那些 ΔT 受前一个冬季尼诺 3.4 海面温度异常(N34DJF)影响较小,而主要受 ETM 阶段影响较大的模式。此外,这些模式能更好地捕捉到 N34DJF 中观测到的 2-7 年频谱峰值。相反,坏 ETM 模式的特点是有一个主要的高频、2-3 年的准双年峰值。因此,与坏的 ETM 模式相比,好的 ETM 模式所呈现的 ENSO 状态更接近观测结果。这项研究通过 CMIP6 模式强调了北方冬季厄尔尼诺/南方涛动振幅在影响外热带气候如何影响厄尔尼诺/南方涛动季节转换方面的重要性。
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来源期刊
Journal of Geophysical Research: Atmospheres
Journal of Geophysical Research: Atmospheres Earth and Planetary Sciences-Geophysics
CiteScore
7.30
自引率
11.40%
发文量
684
期刊介绍: JGR: Atmospheres publishes articles that advance and improve understanding of atmospheric properties and processes, including the interaction of the atmosphere with other components of the Earth system.
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