{"title":"RCEMIP 中的极端降水量及其对流组织的调节作用","authors":"Graham L. O’Donnell, Allison A. Wing","doi":"10.1029/2024MS004535","DOIUrl":null,"url":null,"abstract":"<p>We examine the influence of convective organization on extreme tropical precipitation events using model simulation data from the Radiative-Convective Equilibrium Model Intercomparison Project (RCEMIP). At a given SST, simulations with convective organization have more intense precipitation extremes than those without it at all scales, including instantaneous precipitation at the grid resolution (3 km). Across large-domain simulations with convective organization, models with explicit convection exhibit better agreement in the response of extreme precipitation rates to warming than those with parameterized convection. Among models with explicit convection, deviations from the Clausius-Clapeyron scaling of precipitation extremes with warming are correlated with changes in organization, especially on large spatiotemporal scales. Though the RCEMIP ensemble is nearly evenly split between CRMs which become more and less organized with warming, most of the models which show increased organization with warming also allow super-CC scaling of precipitation extremes. We also apply an established precipitation extremes scaling to understand changes in the extreme condensation events leading to extreme precipitation. Increased organization leads to greater increases in precipitation extremes by enhancing both the dynamic and implied efficiency contributions. We link these contributions to environmental variables modified by the presence of organization and suggest that increases in moisture in the aggregated region may be responsible for enhancing both convective updraft area fraction and precipitation efficiency. 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引用次数: 0
摘要
我们利用辐射对流平衡模式相互比较项目(RCEMIP)的模式模拟数据,研究了对流组织对热带极端降水事件的影响。在给定的 SST 下,有对流组织的模拟在所有尺度上都比没有对流组织的模拟有更强的极端降水,包括网格分辨率(3 公里)下的瞬时降水。在有对流组织的大尺度模拟中,显式对流模型比参数化对流模型在极端降水率对变暖的响应方面表现出更好的一致性。在有明确对流的模式中,极端降水量随气候变暖的克劳修斯-克拉皮隆缩放比例的偏差与对流组织的变化有关,特别是在大的时空尺度上。尽管 RCEMIP 合集中的 CRM 几乎是平均分配的,它们随着气候变暖而变得更有组织和更无组织,但大多数随着气候变暖而显示出更强组织性的模式也允许极端降水的超 CC 缩放。我们还应用已建立的极端降水量比例来了解导致极端降水的极端凝结事件的变化。通过增强动态和隐含效率的贡献,组织的增加会导致极端降水量的更大增加。我们将这些贡献与因组织的存在而改变的环境变量联系起来,并认为聚集区域湿度的增加可能是对流上升气流面积分数和降水效率增加的原因。通过对具有明确对流和参数化对流的模式进行有控制的相互比较,这项工作为对流组织放大热带极端降水及其对气候变暖的响应提供了有力证据。
Precipitation Extremes and Their Modulation by Convective Organization in RCEMIP
We examine the influence of convective organization on extreme tropical precipitation events using model simulation data from the Radiative-Convective Equilibrium Model Intercomparison Project (RCEMIP). At a given SST, simulations with convective organization have more intense precipitation extremes than those without it at all scales, including instantaneous precipitation at the grid resolution (3 km). Across large-domain simulations with convective organization, models with explicit convection exhibit better agreement in the response of extreme precipitation rates to warming than those with parameterized convection. Among models with explicit convection, deviations from the Clausius-Clapeyron scaling of precipitation extremes with warming are correlated with changes in organization, especially on large spatiotemporal scales. Though the RCEMIP ensemble is nearly evenly split between CRMs which become more and less organized with warming, most of the models which show increased organization with warming also allow super-CC scaling of precipitation extremes. We also apply an established precipitation extremes scaling to understand changes in the extreme condensation events leading to extreme precipitation. Increased organization leads to greater increases in precipitation extremes by enhancing both the dynamic and implied efficiency contributions. We link these contributions to environmental variables modified by the presence of organization and suggest that increases in moisture in the aggregated region may be responsible for enhancing both convective updraft area fraction and precipitation efficiency. By leveraging a controlled intercomparison of models with both explicit and parameterized convection, this work provides strong evidence for the amplification of tropical precipitation extremes and their response to warming by convective organization.
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