The Potential Role of Seasonal Surface Heating on the Chaotic Origins of the El Niño/Southern Oscillation Spring Predictability Barrier

IF 3.8 2区 地球科学 Q2 METEOROLOGY & ATMOSPHERIC SCIENCES Journal of Geophysical Research: Atmospheres Pub Date : 2024-07-25 DOI:10.1029/2024JD041034
Dakuan Yu, Meng Zhou, Chaoxun Hang
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Abstract

The Spring Predictability Barrier (SPB) phenomenon is characterized by the reduced accuracy of El Niño/Southern Oscillation (ENSO) forecasts during the spring, which substantially limits our ability to predict ENSO events. By investigating the nonlinear dynamic characteristics of ENSO systems simulated by a box model, we found that the strong surface heating process in spring may contribute to the SPB by regulating the different coupling processes between the ocean and atmosphere. Specifically, the intensified springtime surface heating increases the Sea Surface Temperature (SST), further amplifying the thermal damping effect of SST anomalies and reducing the dynamic connection between zonal SST gradient and upwelling process, and finally increasing the chaotic degree of ENSO systems simulated by the box model. The enhanced chaotic degree of ENSO systems leads to a more rapid growth of initial errors in the forecast model in spring, potentially leading to the SPB phenomenon.

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季节性地表加热对厄尔尼诺/南方涛动春季可预测性障碍混乱起源的潜在作用
春季可预测性障碍(SPB)现象的特点是春季厄尔尼诺/南方涛动(ENSO)预报的准确性降低,这大大限制了我们预测ENSO事件的能力。通过研究盒式模型模拟的厄尔尼诺/南方涛动系统的非线性动态特征,我们发现春季强烈的表面加热过程可能通过调节海洋与大气之间的不同耦合过程而导致 SPB。具体来说,春季强烈的海面加热过程会使海面温度升高,进一步放大海面温度异常的热阻尼效应,减弱海面温度梯度与上升流过程之间的动态联系,最终增加箱式模式模拟的厄尔尼诺/南方涛动系统的混沌度。厄尔尼诺/南方涛动系统混沌度的增强导致预报模式的初始误差在春季增长更快,有可能导致 SPB 现象的出现。
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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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