Potential vorticity: Measuring consistency between GCM dynamical cores and tracer advection schemes
Potential vorticity: Measuring consistency between GCM dynamical cores and tracer advection schemes
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位涡：测量 GCM 动力核心与示踪平流方案之间的一致性
DOI：
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发表时间：
2015
期刊：
影响因子：
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通讯作者：
R. Rood
中科院分区：
文献类型：
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作者：
Jared P. Whitehead;C. Jablonowski;James Kent;R. Rood
Ertel 的位涡 (PV) 被用作诊断工具，对动力学中 PV 的处理与 PV 作为被动示踪剂的集成进行直接比较，从而对动力核心的运动方程积分与其示踪剂传输算法之间的模型一致性进行系统评估。考虑了几个定量和定性指标来衡量一致性，包括误差范数和与网格无关的概率密度函数。比较了国家大气研究中心 (NCAR) 社区大气模型 5.1 版 (CAM) 的四个动力核心。我们研究了这些动力核心在理想化环境中的一致性：存在破裂的斜压波。对于线性流，在波浪破裂之前，每个模型的一致性都很好。随着流动变得非线性，动态 PV 和示踪 PV 之间的一致性就会被破坏，尤其是在小规模情况下。观察到较大的动态 PV 值，但这些值未出现在示踪 PV 中。结果表明，谱元（CAM-SE）动力核心是CAM中最一致的动力核心，然而动态PV和示踪PV之间的一致性与动力核心的扩散特性相关且敏感。
Ertel's potential vorticity (PV) is used as a diagnostic tool to give a direct comparison between the treatment of PV in the dynamics and the integration of PV as a passive tracer, yielding a systematic evaluation of a model's consistency between the dynamical core's integration of the equations of motion and its tracer transport algorithm. Several quantitative and qualitative metrics are considered to measure the consistency, including error norms and grid‐independent probability density functions. Comparisons between the four dynamical cores of the National Center for Atmospheric Research's (NCAR) Community Atmosphere Model version 5.1 (CAM) are presented. We investigate the consistency of these dynamical cores in an idealized setting: the presence of a breaking baroclinic wave. For linear flow, before the wave breaks, the consistency for each model is good. As the flow becomes nonlinear, the consistency between dynamic PV and tracer PV breaks down, especially at small scales. Large values of dynamic PV are observed that do not appear in the tracer PV. The results indicate that the spectral‐element (CAM‐SE) dynamical core is the most consistent of the dynamical cores in CAM, however the consistency between dynamic PV and tracer PV is related to and sensitive to the diffusive properties of the dynamical cores.
影响因子：
8.9
作者：
J. Chagnon;S. Gray;J. Methven
通讯作者：
J. Chagnon;S. Gray;J. Methven