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A Data Based Mechanistic real-time flood forecasting module for NFFS FEWS:DBM real-time flood forecasting

机译:用于NFFS FEWS:DBM实时洪水预报的基于数据的机械实时洪水预报模块

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摘要

The data based mechanistic (DBM) approach for identifying and estimating rainfall to level, and level to level models has been shown to perform well for flood forecasting in several studies. The DELFT-FEWS open shell operational flood forecasting system provides a framework linking hydrological/meteorological real-time data, real-time forecast models, and a human/computer interaction interface. This infrastructure is used by the UK National Flood Forecasting System (NFFS) and the European Flood Alert System (EFAS) among others. The open shell nature of the FEWS framework has been specifically designed to make it easy to add new forecasting models written as FEWS modules. This paper shows the development of the DBM forecast model as a FEWS module and presents results for the Eden catchment (Cumbria UK) as a case study.
机译:在几项研究中,基于数据的机制(DBM)方法可用于识别和估计降雨量到等级以及等级到等级模型的效果很好。 DELFT-FEWS开壳式洪水预报系统提供了一个链接水文/气象实时数据,实时预报模型以及人机交互界面的框架。英国国家洪水预报系统(NFFS)和欧洲洪水预警系统(EFAS)等都使用此基础结构。 FEWS框架的开放外壳性质经过专门设计,可以轻松添加编写为FEWS模块的新预测模型。本文展示了DBM预测模型作为FEWS模块的发展,并以案例研究的形式介绍了伊甸园流域(英国坎伯里亚郡)的结果。

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