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Using typhoon characteristics to improve the long lead-time flood forecasting of a small watershed

机译:利用台风特征改善小流域的长期提前期洪水预报

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This paper describes the development of flood forecasting models to improve the long lead-time flood forecasting performance. To investigate the influence of typhoon characteristics on flood forecasting, four different types of model inputs are designed to yield 1- to 6-h ahead forecasts of runoff. The most appropriate lengths of model inputs, namely rainfall, runoff and typhoon characteristics, are then determined. A performance comparison of models with and without typhoon characteristics is made. In addition to the conventional performance measures, based on the viewpoint of early warning three measures regarding effective warnings are also proposed to evaluate the forecasting performance. With typhoon characteristics as input to the model, the forecasting performance is significantly improved for both medium and long lead-time forecastings, especially when the rainfall data are not available. It is also found that the forecasting model without typhoon characteristics cannot provide any effective warnings for long lead-time forecasting.
机译:本文介绍了洪水预报模型的开发,以提高长期提前期洪水预报的性能。为了研究台风特征对洪水预报的影响,设计了四种不同类型的模型输入以产生1-6小时的径流提前预报。然后确定模型输入的最合适长度,即降雨,径流和台风特征。对具有和不具有台风特征的模型进行性能比较。除了常规的性能指标外,基于预警的观点,还提出了三种与有效预警有关的指标来评估预测性能。将台风特征作为模型的输入,对于中期和长期的提前期预报,尤其是在没有降雨数据的情况下,预报性能将得到显着改善。还发现没有台风特征的预报模型不能为长期的提前期预报提供任何有效的警告。

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