Using a nonhydrostatic model based on a version of Geophysical Fluid Dynamics Laboratory's FV3 dynamical core at a cloud‐resolving resolution in radiative‐convective equilibrium (RCE) configuration, the sensitivity of the mean RCE climate to the magnitude and scale‐selectivity of the divergence damping is explored. Divergence damping is used to reduce small‐scale noise in more realistic configurations of this model. This sensitivity is tied to the strength (and width) of the convective updrafts, which decreases (increases) with increased damping and acts to organize the convection, dramatically drying out the troposphere and increasing the outgoing longwave radiation. Increased damping also results in a much‐broadened precipitation probability distribution and larger extreme values, as well as reduction in cloud fraction, which correspondingly decreases the magnitude of shortwave and longwave cloud radiative effects. Solutions exhibit a monotonic dependence on the strength of the damping and asymptotically converge to the inviscid limit. While the potential dependence of RCE simulations on resolution and microphysical assumptions are generally appreciated, these results highlight the potential significance of the choice of subgrid numerical diffusion in the dynamical core.

中文翻译：

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基于GFDL-FV3的云解析模型模拟中辐射对流平衡对散度阻尼的敏感性

使用基于地球物理流体动力学实验室FV3动态核心版本的非静水模型，在辐射对流平衡（RCE）配置中为云解析分辨率，平均RCE气候对发散阻尼的大小和尺度选择性的敏感性被探索。发散阻尼用于减少此模型更实际配置中的小规模噪声。这种敏感性与对流上升气流的强度（和宽度）有关，其随着阻尼的增加而减小（增加）并起到组织对流的作用，从而使对流层急剧变干并增加了出射的长波辐射。增加的阻尼还会导致更大范围的降水概率分布和更大的极值，以及减少云量，相应地降低了短波和长波云辐射效应的强度。解表现出对阻尼强度的单调依赖性，并且渐近收敛到无粘性极限。尽管人们普遍认识到RCE模拟对分辨率和微物理假设的潜在依赖性，但这些结果凸显了在动力核心中选择亚网格数值扩散的潜在意义。