This study further evaluates the modeling approach of Jia et al. (2019), https://doi.org/10.1029/2019gl081960 (JEA19) to investigate the potential effects of mesoscale sea surface temperature (SST) variability on the atmospheric circulation. The approach employs a global atmospheric circulation model coupled to a slab ocean model to produce two ensembles of simulations: one in which the SST exhibits realistic mesoscale variability, and another in which the mesoscale SST variability is suppressed. The results of the present study suggest that the modeling approach yields the desired SST differences between the two ensembles at the mesoscales. They also show, however, that the approach can lead to undesirable SST differences at the large scales, if the prescribed pair of oceanic heat flux fields have large scale differences. In the experiments of JEA19, such forced, large scale SST differences dominate over the large scale differences that may develop in response to changes in the large scale atmospheric circulation by nonlinear interactions with the SST. This result suggests that finding a proper pair of estimates of the oceanic heat flux fields is necessary for the investigation of the potential upscale impact of mesoscale SST variability on the atmosphere by the approach of JEA19. The paper concludes with proposing a potential improved strategy to obtain such a pair of estimates.

中文翻译：

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用于研究 SST 中尺度变化对大气影响的耦合建模方法的评估

本研究进一步评估了 Jia 等人的建模方法。(2019), https://doi.org/10.1029/2019gl081960 (JEA19) 调查中尺度海面温度 (SST) 变化对大气环流的潜在影响。该方法采用与平板海洋模型耦合的全球大气环流模型来产生两种模拟集合：一种是 SST 表现出真实的中尺度变异，另一种是抑制了中尺度 SST 变异。本研究的结果表明，建模方法在中尺度上产生了两个集合之间所需的 SST 差异。然而，他们还表明，如果指定的一对海洋热通量场具有大尺度差异，则该方法可能会导致大尺度上不受欢迎的海温差异。在 JEA19 的实验中，这种被迫的大尺度海温差异支配了大尺度差异，而大尺度差异可能是由于与海温的非线性相互作用而产生的大尺度大气环流变化的响应。该结果表明，对于通过 JEA19 的方法研究中尺度海温变化对大气的潜在高端影响，需要找到一对适当的海洋热通量场估计值。本文最后提出了一种潜在的改进策略来获得这样的一对估计。该结果表明，对于通过 JEA19 的方法研究中尺度海温变化对大气的潜在高端影响，需要找到一对适当的海洋热通量场估计值。本文最后提出了一种潜在的改进策略来获得这样的一对估计。该结果表明，对于通过 JEA19 的方法研究中尺度海温变化对大气的潜在高端影响，需要找到一对适当的海洋热通量场估计值。本文最后提出了一种潜在的改进策略来获得这样的一对估计。