The benefits of operational forecasting models to the general public are numerous. They support water management decisions, provide the opportunity to mitigate the impacts of weather‐ and flood‐related disasters and potentially save lives and properties. Channel flow routing is a key component of these models and affects their ability to forecast flood depth, duration, and extent. Continental scale channel flow routing within the operational forecasting environments encounters a broad spectrum of hydraulic characteristics. Deploying computationally demanding approaches, such as the dynamic wave, should be limited in time and space to conditions where the inertia terms are significant (typically in low‐gradient environments and whenever backwater effects are prominent); otherwise, efficient and robust methods, e.g., Kinematic, Muskingum‐Cunge or diffusive waves should be the default. The heterogeneous routing approach presented here provides a framework to evaluate the balance between friction, inertia, and pressure and strategically triggers the appropriate wave approximation. The strategy recommended here is to activate the appropriate wave approximation based on the ambient hydraulic conditions, and smoothly transitions among these approximations. This strategy, if successfully implemented, would strike a balance among the performance metrics of operational forecasting models, namely, computational efficiency, accuracy, and minimization of computational instabilities.

中文翻译：

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运维预测模型的洲际规模异构通道流路由策略

业务预测模型对公众的好处是很多的。它们支持水管理决策，提供机会减轻与天气和洪水有关的灾难的影响，并有可能挽救生命和财产。通道流路由是这些模型的关键组成部分，并且会影响其预测洪水深度，持续时间和范围的能力。在运营预测环境中，大陆规模的通道水流路径遇到了广泛的水力特征。应当在时间和空间上限制使用要求苛刻的方法（例如动态波）的条件，在这些条件下，惯性项会很重要（通常在低梯度环境中，并且在回水效应很明显的情况下）；否则，将采用高效而健壮的方法，例如运动学，默认为Muskingum-Cunge或扩散波。此处介绍的异构路由方法提供了一个框架，用于评估摩擦，惯性和压力之间的平衡，并有策略地触发适当的波逼近。此处推荐的策略是根据周围水力条件激活适当的波动近似值，并在这些近似值之间平稳过渡。如果成功实施，则该策略将在操作预测模型的性能指标之间取得平衡，即计算效率，准确性和计算不稳定性的最小化。和压力，并有策略地触发适当的波逼近 此处推荐的策略是根据周围水力条件激活适当的波动近似值，并在这些近似值之间平稳过渡。如果成功实施，则该策略将在操作预测模型的性能指标之间取得平衡，即计算效率，准确性和计算不稳定性的最小化。和压力，并有策略地触发适当的波逼近。此处推荐的策略是根据周围水力条件激活适当的波动近似值，并在这些近似值之间平稳过渡。如果成功实施，则该策略将在操作预测模型的性能指标之间取得平衡，即计算效率，准确性和计算不稳定性的最小化。