We modify the Zhang‐McFarlane (ZM) deep convection scheme in the Community Atmosphere Model version 5 to couple it with a unified parameterization for boundary‐layer turbulence and shallow convection, that is, Cloud Layers Unified by Binormals (CLUBB). By assuming a lognormal distribution of entrainment rate across the entire moist convective regimes, we link mass fluxes between shallow and deep convection, which are partitioned by the entrainment rate of the shallowest deep convective plume. Hence, a new deep convective closure is established which is coupled to the sub‐grid vertical motion variability in CLUBB. The convection feedback (or memory) effects are also considered to decrease the entrainment spectrum width and enhance the vertical velocity variability that further affect deep convection. Results show that the revised scheme improves the precipitation simulations in terms of the mean state and variability at various timescales, such as the alleviated double‐intertropical convergence zone and more realistic simulations of the seasonal variation of monsoon precipitation over East Asia, Madden‐Julian Oscillation, and precipitation diurnal phase propagations downstream of large terrains. The improvements are still seen in many aspects such as the mean‐state precipitation when turning off the convection feedback impacts in the revised scheme, emphasizing the benefits of using the modified mass‐flux closure. However, the convection feedbacks have considerable effects on the precipitation diurnal cycle simulations over regions with late‐afternoon precipitation peaks. Overall, the revised scheme provides a unified treatment for sub‐grid vertical motions across regimes of boundary‐layer turbulence, shallow convection, and deep convection, leading to better‐simulated precipitation at various timescales.

中文翻译：

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通过CAM5-CLUBB中的假定夹带分布链接深对流和浅对流质量通量：参数化和模拟降水变化

我们修改了社区大气模型版本5中的Zhang-McFarlane（ZM）深对流方案，使其与边界层湍流和浅层对流的统一参数化（即，由Binormals统一的云层（CLUBB））相结合。通过假设整个湿对流状态下的夹带率呈对数正态分布，我们将浅对流和深对流之间的质量通量联系起来，这些通量被最浅的深对流羽流的夹带率所分隔。因此，建立了一个新的深对流封闭层，该封闭层与CLUBB中的亚网格垂直运动变化有关。对流反馈（或记忆）效应也被认为可以减小夹带谱的宽度并增强垂直速度的可变性，从而进一步影响深对流。结果表明，修订后的方案在不同时间尺度上的平均状态和变异性方面改善了降水模拟，例如缓解的双热带辐合带和对东亚季风降水季节变化的更真实模拟，Madden-Julian振荡。 ，和降水日相在大地形的下游传播。在许多方面仍然可以看到改进，例如在修订方案中关闭对流反馈影响时的平均状态降水，强调了使用改进的质量通量封闭的好处。然而，对流反馈对下午晚些时候出现降水峰值的区域的降水日循环模拟有相当大的影响。全面的，