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Verification of the NOAA/NWS MMEFS Operational Hydrologic Ensemble Forecasting System in the Ohio River Valley

机译:俄亥俄河谷NOAA / NWS MMEFS运行水文集合预报系统的验证

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U.S. National Weather Service (NWS) River Forecast Centers (RFCs) have produced monthly to seasonal hydrologic forecast ensemble outlooks for many years using historical precipitation and temperature as the forcing data for the ensembles within the Advanced Hydrologic Prediction System (AHPS). This has worked well for many water resources applications relying on long lead-time ensembles of greater than thirty days. In the eastern United States, there is considerable interest in shorter lead-time ensembles, particularly in the period of one to seven days that convey hydrologic forecast uncertainty resulting directly from the uncertainties in precipitation and temperature forecasts, with a focus on flood forecasting. This paper demonstrates the use of numerical weather prediction (NWP) model ensembles as the forcing for hydrologic models within the NWS hydrologic forecasting system, the Deltares Flood Early Warning System (FEWS) based Community Hydrologic Prediction System (CHPS), utilizing Ensemble Streamflow Prediction (ESP) system techniques. This approach makes it possible to produce probabilistic hydrologic forecasts that incorporate the skill and uncertainty of atmospheric models. Significant issues exist with directly using the meteorological ensembles, including biases and spatial resolution of the available data, but the approach allows for the generation of valuable information for end-user decision makers, covering a time frame for which there is little current probabilistic hydrologic guidance available. This paper presents a description of a joint project among four NWS RFCs to incorporate ensemble forecasts from a variety of meteorological model ensembles. These include the National Oceanic and Atmospheric Administration (NOAA) NWS National Centers for Environmental Prediction (NCEP) Global Ensemble Forecast System (GEFS), North American Ensemble Forecast System (NAEFS), and Short Range Ensemble Forecast System (SREF). Verification results are presented for operational NAEFS and SREF based MMEFS real-time probabilistic hydrologic forecasts covering multi-year period. Improvements to the MMEFS are also recommended.
机译:多年来,美国国家气象局(NWS)河流预报中心(RFC)使用历史降水和温度作为高级水文预报系统(AHPS)中集合的强迫数据,产生了每月至季节性的水文预报系综预报。对于许多依赖超过30天的长交付周期的水资源应用而言,这已经很好地发挥了作用。在美国东部,对较短的前置时间合奏有相当大的兴趣,尤其是在1到7天的时段内,这些时间传递直接由降水和温度预报的不确定性引起的水文预报不确定性,重点是洪水预报。本文展示了将数字天气预报(NWP)模型组合用作NWS水文预报系统,基于Deltares洪水预警系统(FEWS)的社区水文预报系统(CHPS)中的水文模型的强制作用,并利用了集成流预测( ESP)系统技术。这种方法使得产生结合了大气模型技巧和不确定性的概率水文预报成为可能。直接使用气象集合体存在重大问题,包括现有数据的偏差和空间分辨率,但是这种方法可以为最终用户决策者生成有价值的信息,涵盖的时间范围几乎没有当前的概率水文指导可用的。本文介绍了四个NWS RFC之间的联合项目,以结合来自各种气象模型集合的整体预报。这些包括国家海洋和大气管理局(NOAA),NWS国家环境预测中心(NCEP),全球总体预报系统(GEFS),北美总体预报系统(NAEFS)和短距离总体预报系统(SREF)。提出了针对基于NAEFS和SREF的MMEFS多年期实时概率水文预报的验证结果。还建议对MMEFS进行改进。

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