Can CMIP6 models reproduce the influence of ENSO on the variability of boreal winter Hadley Circulation?

IF 4.5 2区 地球科学 Q1 METEOROLOGY & ATMOSPHERIC SCIENCES Atmospheric Research Pub Date : 2024-07-17 DOI:10.1016/j.atmosres.2024.107588
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Abstract

The Hadley circulation (HC) is the strongest and largest meridional circulation, playing a crucial role in influencing the global climate. A regime shift is observed in the boreal winter HC variability after 1980, presenting as an equatorially symmetrical pattern. This study examines the performances of 26 CMIP6 models in simulating the variability of boreal winter HC after 1980, analyzes the possible physical processes of the simulation uncertainties, and predicts its future variations. The results reveal that all models can reasonably capture the spatial structure of the climatological boreal winter HC. However, significant inter–model discrepancies are existed in the simulations of the spatial distribution of its linear trend, the dominant mode of HC (EOF1), as well as El Niño–Southern Oscillation (ENSO). By examining the spatial structure of HC EOF1 and ENSO between the simulations and observations, all the models are categorized into three groups, i.e., both the HC EOF1 and ENSO are well–simulated group (WWG), the simulation of HC EOF1 is unsatisfactory and ENSO is well–simulated group (UWG), and neither the simulations of HC EOF1 and ENSO is satisfactory (UUG). The group analysis suggests that the WWG models can well simulate the robust relationship between the HC EOF1 and ENSO, while the UWG and UUG models fail in reproducing the connection between the EOF1 and ENSO. In the WWG models, a greater variability of ENSO would associate with a stronger linkage between the HC EOF1 and ENSO, implying that the amplitude of ENSO variability determines the linkage between HC and ENSO. Conversely, the opposite situation is observed in the UWG and UUG models. The failure of UWG and UUG models in reproducing the relationship of HC EOF–ENSO is mainly due to its unsatisfactory simulation in the ENSO variability. This result shows that a model's ability in simulating the ENSO variability affects its capacity in simulating the relationship between the HC EOF1 and ENSO, which in turn impacting its performance in charactering the variability of HC. Furthermore, the HC EOF1 is projected to maintain an equatorially symmetrical structure towards the end of this century. Compared to the period 1980–2013, the variability of ENSO by century–end has intensified, leading to a stronger association between ENSO and HC EOF1 and a strengthened HC EOF1. These findings further support of the conclusion. Our work focuses on the discrepancies of the simulation of the variability in boreal winter HC and its future prediction in CMIP6, providing valuable insights for the advancement of climate models and understanding the relationship between ENSO and HC.

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CMIP6 模型能否再现厄尔尼诺/南方涛动对北方冬季哈德利环流变率的影响?
哈德利环流(HC)是最强、最大的经向环流,在影响全球气候方面发挥着至关重要的作用。据观测,1980 年后北方冬季 HC 变率发生了制度转变,呈现出赤道对称模式。本研究考察了 26 个 CMIP6 模式在模拟 1980 年后北方冬季 HC 变率方面的表现,分析了模拟不确定性的可能物理过程,并预测了其未来变化。结果表明,所有模式都能合理捕捉气候学上北方冬季碳氢化合物的空间结构。然而,在模拟其线性趋势的空间分布、HC 的主导模式(EOF1)以及厄尔尼诺-南方涛动(ENSO)方面,模式间存在明显差异。通过观察模拟和观测之间 HC EOF1 和 ENSO 的空间结构,将所有模式分为三组,即 HC EOF1 和 ENSO 都模拟良好组(WWG)、HC EOF1 模拟不理想和 ENSO 模拟良好组(UWG)以及 HC EOF1 和 ENSO 模拟都不理想组(UUG)。分组分析表明,WWG 模式能很好地模拟 HC EOF1 与厄尔尼诺/南方涛动之间的稳健关系,而 UWG 和 UUG 模式则不能再现 EOF1 与厄尔尼诺/南方涛动之间的联系。在 WWG 模式中,ENSO 的变率越大,HC EOF1 与 ENSO 之间的联系就越强,这意味着 ENSO 的变率决定了 HC 与 ENSO 之间的联系。相反,在 UWG 和 UUG 模式中却观察到相反的情况。UWG 和 UUG 模式未能再现 HC EOF-ENSO 关系的主要原因是其对 ENSO 变率的模拟不理想。这一结果表明,模型模拟厄尔尼诺/南方涛动变率的能力会影响其模拟 HC EOF1 与厄尔尼诺/南方涛动关系的能力,进而影响其表征 HC 变率的性能。此外,预计本世纪末 HC EOF1 将保持赤道对称结构。与 1980-2013 年期间相比,厄尔尼诺/南方涛动在本世纪末的变率加剧,导致厄尔尼诺/南方涛动与 HC EOF1 之间的关联增强,HC EOF1 也得到加强。这些发现进一步支持了上述结论。我们的研究重点是北半球冬季碳氢化合物变率模拟与 CMIP6 未来预测之间的差异,为气候模式的发展和理解厄尔尼诺/南方涛动与碳氢化合物之间的关系提供了有价值的见解。
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来源期刊
Atmospheric Research
Atmospheric Research 地学-气象与大气科学
CiteScore
9.40
自引率
10.90%
发文量
460
审稿时长
47 days
期刊介绍: The journal publishes scientific papers (research papers, review articles, letters and notes) dealing with the part of the atmosphere where meteorological events occur. Attention is given to all processes extending from the earth surface to the tropopause, but special emphasis continues to be devoted to the physics of clouds, mesoscale meteorology and air pollution, i.e. atmospheric aerosols; microphysical processes; cloud dynamics and thermodynamics; numerical simulation, climatology, climate change and weather modification.
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