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Monitoring the Coupling-Update Frequency of a Limited-Area Model by Means of a Recursive Digital Filter

机译:通过递归数字滤波器监视有限区域模型的耦合更新频率

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In operational applications lateral-boundary coupling data are provided to one-way nested limited-area models with time intervals of more than an order of magnitude larger than the time step of the coupled model. In practice, these fixed coupling-update frequencies are established by common-sense guesswork and by technical restrictions rather than by rigorous methods. As a result, situation-dependent failures are never completely excluded when coupling data enter the domain more rapidly than can be sampled by the a priori fixed frequency. To avoid misinterpreting such failures, the data transfer between the coupling and the coupled model should be monitored. The present paper approaches this as a problem of undersampling. It investigates how the coupling-update frequency can be monitored by using a digital recursive filter in the coupling model. A response function for such a filter is derived. Its implementation in a NWP model is discussed and some extensive tests are presented. A possible application is discussed in which this monitoring is used for assessing the data transfer to the coupled model and additionally for adapting the coupling updates to the actual meteorological content of the coupling-model output.
机译:在操作应用中,将横向边界耦合数据提供给单向嵌套有限区域模型,其时间间隔比耦合模型的时间步长大一个数量级。实际上,这些固定的耦合更新频率是通过常识性猜测和技术限制而非严格的方法来确定的。结果,当耦合数据以比先验固定频率采样的速度更快进入域时,永远不会完全排除与情况相关的故障。为避免误解此类故障,应监控耦合和耦合模型之间的数据传输。本文将其视为欠采样问题。它研究了如何通过在耦合模型中使用数字递归滤波器来监视耦合更新频率。推导了这种滤波器的响应函数。讨论了其在NWP模型中的实现,并提供了一些广泛的测试。讨论了一种可能的应用,其中此监视用于评估向耦合模型的数据传输,并另外使耦合更新适应耦合模型输出的实际气象内容。

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