The Wavelength Dependence of the Gross Moist Stability and the Scale Selection in the Instability of Column-Integrated Moist Static Energy
The Wavelength Dependence of the Gross Moist Stability and the Scale Selection in the Instability of Column-Integrated Moist Static Energy
复制标题
总湿稳定性的波长依赖性和柱积分湿静能不稳定性的尺度选择
DOI：
10.1175/2010jas3591.1
复制
发表时间：
2011
影响因子：
3.1
通讯作者：
Z. Kuang
中科院分区：
文献类型：
--
作者：
Z. Kuang
总湿稳定度（GMS）是衡量发散气流输出柱积分湿静态能（MSE）效率的指标，是当前热带平均环流和季节内变化（如Madden-Julian涛动（MJO））的简化模式中广泛使用的一个量，在这些模式中GMS通常被假设为常数。在本文中，通过结合大尺度流反馈的云系统解析模型实验表明，GMS在较长波长处较小。这种波长依赖性的原因是，维持给定发散流所需的温度异常随着波长的增加而增加。在长波长，所需的温度异常变得足够强，以影响对流加热的形状。因此，为了保持动量、热量和水分的平衡，以及与积云对流行为的一致性，辐散流被迫减少顶重。构造了一个简单的模型来说明……
Abstract Gross moist stability (GMS), a measure of how efficiently divergent flow exports column-integrated moist static energy (MSE), is a widely used quantity in current simplified models of the tropical mean circulation and intraseasonal variabilities such as the Madden–Julian oscillation (MJO), where it is often assumed to be constant. In this paper, it is shown, with cloud-system-resolving model experiments that incorporate feedback from the large-scale flow, that the GMS is smaller at longer wavelengths. The reason for this wavelength dependence is that temperature anomalies required to maintain a given divergent flow increase with wavelength. At long wavelengths, the required temperature anomalies become sufficiently strong to affect the shape of convective heating. As a consequence, the divergent flow is forced to be less top heavy in order to maintain the balance of momentum, heat, and moisture, as well as consistency with the behavior of cumulus convection. A simple model is constructed to illus...