绝热涡流强迫增加了 MERRA2 中南环模式的持续性并反对其传播

Samuel Smith, Jian Lu, P. Staten
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引用次数: 0

摘要

南方环流模式(SAM)是次季节时间尺度上喷流变率的主要模式,它为了解大气如何在长于同步时间尺度上产生内部振荡提供了一个窗口。虽然南环流模式的存在可以用枯燥的、纯粹的气压理论来解释,但其持续和传播的时间尺度是由气压机制和气压沿岸机制之间的滞后相互作用决定的,这使得准确的物理机制的确定和模拟具有挑战性,即使在最新一代的模型中也是如此。通过使用涡-均流相互作用框架对 MERRA2 再分析中的涡动量收敛进行分区,我们证明了二重过程(凝结和辐射加热)是 SAM 在静止状态下持续存在的主要原因,也是阻止其在静止状态下传播的关键。在 SAM 的传播状态下,气压反馈和二重静力学反馈也在涡流喷射反馈中占主导地位。然而,传播是由高空断波的气压变化引发的,然后由气压反应维持,从而导致大约 60 天的振荡周期。这种气压传播机制已在干燥的理想化模式中被发现,但我们在这里首次在再分析中展示了这种机制的证据。对 SAM 的二重反馈与 SAM 对风暴轨迹纬度的调制是一致的,它改变了单个波浪的发射温度和云量。因此,未来在模式中改进 SAM 时间尺度的尝试应侧重于风暴轨迹位置以及云和湿度参数化的作用。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Diabatic Eddy Forcing Increases Persistence and Opposes Propagation of the Southern Annular Mode in MERRA2
As a dominant mode of jet variability on sub-seasonal timescales, the Southern Annular Mode (SAM) provides a window into how the atmosphere can produce internal oscillations on longer-than-synoptic timescales. While SAM’s existence can be explained by dry, purely barotropic theories, the timescale for its persistence and propagation is set by a lagged interaction between barotropic and baroclinic mechanisms, making the exact physical mechanisms challenging to identify and to simulate, even in latest generation models. By partitioning the eddy momentum flux convergence in the MERRA2 reanalysis using an eddy-mean flow interaction framework, we demonstrate that diabatic processes (condensation and radiative heating) are the main contributors to SAM’s persistence in its stationary regime, as well as the key for preventing propagation in this regime. In SAM’s propagating regime, baroclinic and diabatic feedbacks also dominate the eddy-jet feedback. However, propagation is initiated by barotropic shifts in upper-level wave-breaking and then sustained by a baroclinic response, leading to a roughly 60-day oscillation period. This barotropic propagation mechanism has been identified in dry, idealized models, but here we show evidence of this mechanism for the first time in reanalysis. The diabatic feedbacks on SAM are consistent with modulation of the storm track latitude by SAM, altering the emission temperature and cloud cover over individual waves. Therefore, future attempts to improve the SAM timescale in models should focus on the storm track location, as well as the roles of the cloud and moisture parameterizations.
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