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首页> 外文期刊>Journal of the Atmospheric Sciences >GENERALIZED ADJOINT FOR PHYSICAL PROCESSES WITH PARAMETERIZED DISCONTINUITIES .2. VECTOR FORMULATIONS AND MATCHING CONDITIONS
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GENERALIZED ADJOINT FOR PHYSICAL PROCESSES WITH PARAMETERIZED DISCONTINUITIES .2. VECTOR FORMULATIONS AND MATCHING CONDITIONS

机译:具有不连续参数连续性的物理过程的广义伴随2。矢量公式和匹配条件

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Generalized tangent linear and adjoint equations are derived for a vector equation that contains a parameterized source term with discontinuous on/off switches controlled by a threshold condition. As an extension of Part I, the key results here include a pair of interface matching conditions for coupled tangent linear and adjoint vectors across a switch point. Each matching condition can be expressed in either a forward form or a backward form that connects the vector values on the two sides of the switch point via a forward- or backward-matching matrix. The forward- and backward-matching matrices are mutually invertible. The backward/forward-matching matrix for the adjoint vector is the transpose of the forward/backward matrix for the tangent Linear vector. By using the matching condition, the classic tangent linear (or adjoint) solution can be extended through a switch point, so a fundamental set of generalized tangent linear (or adjoint) solutions can be constructed, which leads to an explicit expression of the generalized tangent linear (or adjoint) resolvent-the inverse of the generalized tangent Linear (or adjoint) operator. The generalized resolvents provide a complete description of the adjoint properties and yield an integral formulation for the gradient of the costfunction. When the parameterized process produces strong negative feedback, on-off oscillations can be produced numerically in vector forms due to essentially the same mechanism as previously illustrated by one-dimensional examples, and the oscillatory states yield to a marginal state in the limit of vanishing time steps in the numerical integration. Marginal states can impose multiple constraints on the tangent linear vector and thus cause multiple reductions in the effective dimension of the data-forcing vector in the backward integration of the adjoint equation. This extends the previous one-dimensional results. [References: 32]
机译:为矢量方程式导出广义切线线性方程和伴随方程式,该向量方程式包含参数化的源项,并具有由阈值条件控制的不连续的开/关开关。作为第I部分的扩展,此处的关键结果包括一对跨开关点的正切线性和邻接矢量耦合的接口匹配条件。每个匹配条件都可以以正向或反向形式表示,它们通过向前或向后匹配矩阵连接开关点两侧的矢量值。向前和向后匹配的矩阵是相互可逆的。伴随向量的后向/前向匹配矩阵是切线线性向量的前向/后向矩阵的转置。通过使用匹配条件,经典切线线性(或伴随)解可以扩展到一个切换点,因此可以构造一组基本的广义切线线性(或伴随)解,从而导致广义切线的明确表达线性(或伴随)分解器-广义切线线性(或伴随)算子的逆。广义分解体提供了伴随属性的完整描述,并给出了成本函数梯度的积分公式。当参数化过程产生强烈的负反馈时,由于与一维示例所说明的原理基本相同,因此可以以矢量形式以数字形式产生开/关振荡,并且振荡状态在消失时间的限制下会变为边际状态数值积分的步骤。边际状态可以在切线向量上施加多个约束,因此在伴随方程的向后积分中会导致数据强制向量的有效维数多次减小。这扩展了先前的一维结果。 [参考:32]

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