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首页> 外文期刊>Journal of the American Water Resources Association >AN INVESTIGATION OF ERRORS IN DISTRIBUTED MODELS’ STREAM DISCHARGE PREDICTION DUE TO CHANNEL ROUTING
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AN INVESTIGATION OF ERRORS IN DISTRIBUTED MODELS’ STREAM DISCHARGE PREDICTION DUE TO CHANNEL ROUTING

机译：由于通道路由而对分布式模型的流放电预测中的错误的调查

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摘要

Over the summer of 2015, the National Water Center hosted the National Flood Interoperability Experiment (NFIE) Summer Institute. The NFIE organizers introduced a national-scale distributed hydrologic modeling framework that can provide flow estimates at around 2.67million reaches within the continental United States. The framework generates discharges by coupling a given Land Surface Model (LSM) with the Routing Application for Parallel Computation of Discharge (RAPID). These discharges are then accumulated through the National Hydrography Dataset Plus stream network. The framework can utilize a variety of LSMs to provide the runoff maps to the routing component. The results obtained from this framework suggested that there still exists room for further enhancements to its performance, especially in the area of peak timing and magnitude. The goal of our study was to investigate a single source of the errors in the framework's discharge estimates, which is the routing component. The authors substitute RAPID which is based on the simplified linear Muskingum routing method by the nonlinear routing component the Iowa Flood Center have incorporated in their full hydrologic Hillslope-Link Model. Our results show improvement in model performance across scales due to incorporating new routing methodology.
机译：在2015年夏季，国家水中心主持了国家洪水互操作性实验（NFIE）夏季研究所。 NFIE组织者介绍了一个全国规模的分布式水文建模框架，该框架可提供美国大陆范围内约267万条河段的流量估算。该框架通过将给定的地面模型（LSM）与用于放电的并行计算的路由应用程序（RAPID）耦合来产生放电。然后，这些流量通过“国家水文数据集+”河流网络进行累积。该框架可以利用各种LSM将径流图提供给路由组件。从该框架获得的结果表明，仍然存在进一步增强其性能的空间，尤其是在峰值时间和幅度方面。我们研究的目的是调查框架排放估算中的错误的唯一来源，这是路由选择的组成部分。作者将基于简化的线性Muskingum选路方法的RAPID替换为爱荷华州洪水中心的非线性选路组件，并将其组合到其完整的水文Hillslope-Link模型中。我们的结果表明，由于采用了新的布线方法，跨尺度的模型性能得到了改善。

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