A Two-Layer Model with Empirical Linear Corrections and Reduced Order for Studies of Internal Climate Variability
A Two-Layer Model with Empirical Linear Corrections and Reduced Order for Studies of Internal Climate Variability
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用于研究内部气候变率的具有经验线性校正和降阶的两层模型
DOI：
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发表时间：
1999
期刊：
影响因子：
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通讯作者：
G. Branstator
中科院分区：
文献类型：
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作者：
U. Achatz;G. Branstator
摘要这项工作讨论了大气动力学简化模型的制定和测试。该模型，它只有200和700毫巴的流函数作为其预测领域，设计有一个气候，近似于一个全面的永久1月大气环流模式。它的控制方程是基于一个洛伦兹型过滤两层模型，但其线性项由经验确定的运营商取代，简化模型是半经验的。它的基础由使用总能量度量计算的三维经验正交函数组成。线性算子的目的是作为场、模式和模型中未显式表示的动力学的参数化。该运营商是通过一个优化程序，确保半经验模型最佳预测流函数的趋势观察到发生在一个扩展的控制集成的大气环流模型。事实证明，一个模型确定了我...
Abstract This work discusses the formulation and testing of a simplified model of atmospheric dynamics. The model, which has only 200- and 700-mb streamfunctions as its prognostic fields, is designed to have a climate that approximates that of a comprehensive perpetual January general circulation model. Its governing equations are based on a Lorenz-type filtered two-layer model, but its linear terms are replaced by an empirically determined operator; the simplified model is semiempirical. Its basis consists of three-dimensional empirical orthogonal functions that are calculated using a total energy metric. The linear operator is intended to serve as a parameterization of fields, patterns, and dynamics not explicitly represented in the model. The operator is found through an optimization procedure that ensures that the semiempirical model optimally predicts streamfunction tendencies observed to occur in an extended control integration of the general circulation model. It turns out that a model determined i...