Statistical Parameterization of Heterogeneous Oceanic Convection
Statistical Parameterization of Heterogeneous Oceanic Convection
复制标题
非均质海洋对流的统计参数化
DOI：
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发表时间：
2007
期刊：
影响因子：
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通讯作者：
E. Tziperman
中科院分区：
文献类型：
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作者：
C. Pasquero;E. Tziperman
摘要提出了一种统计对流调整方案，试图解释在海洋对流区观测到的典型中尺度和亚中尺度温度和盐度变化的影响。每个模型格框中的温度和盐度根据其平均值、方差和相互相关性来定义。亚网格尺度的不稳定性导致水柱中不同层之间的部分混合。这允许在标准对流调节方案中允许的仅有的两种状态（对流开启和对流关闭）之间的平滑过渡。统计参数化的优点是消除了与两种状态之间的急剧过渡相关的可能的不稳定性，这些不稳定性偶尔会影响大尺度模型的解。该程序还预测了在数值模拟中获得的温度和盐度相关性的产生以及对流诱导的上升梯度通量的存在。
Abstract A statistical convective adjustment scheme is proposed that attempts to account for the effects of mesoscale and submesoscale variability of temperature and salinity typically observed in the oceanic convective regions. Temperature and salinity in each model grid box are defined in terms of their mean, variance, and mutual correlations. Subgrid-scale instabilities lead to partial mixing between different layers in the water column. This allows for a smooth transition between the only two states (convection on and convection off) allowed in standard convective adjustment schemes. The advantage of the statistical parameterization is that possible instabilities associated with the sharp transition between the two states, which are known to occasionally affect the large-scale model solution, are eliminated. The procedure also predicts the generation of correlations between temperature and salinity and the presence of convectively induced upgradient fluxes that have been obtained in numerical simulati...