Assessment of a 1-hour gridded precipitation dataset to drive a hydrological model: A case study of the summer 2007 floods in the upper severn, UK
Assessment of a 1-hour gridded precipitation dataset to drive a hydrological model: A case study of the summer 2007 floods in the upper severn, UK
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DOI：
10.2166/nh.2011.025
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发表时间：
2013-03
影响因子：
2.7
通讯作者：
Brandon Parkes;F. Wetterhall;F. Pappenberger;Y. He;B. Malamud;H. Cloke
中科院分区：
文献类型：
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作者：
Brandon Parkes;F. Wetterhall;F. Pappenberger;Y. He;B. Malamud;H. Cloke
在这项研究中，一个网格化的每小时1公里的降水数据集的中尺度流域（4,062平方公里）的上塞文河，英国构建了使用降雨雷达数据分解的每日降水（雨量计）数据集。将该数据集与完全由降雨雷达数据创建的每小时降水数据集进行比较。结果发现，当评估对仪表读数和输入的Lisflood-RR水文模型，雨量计/雷达分解数据集表现最好，这表明这种简单的方法相结合的雨量雷达数据与雨量计读数可以提供时间上详细的降水数据集校准水文模型。
In this study a gridded hourly 1-km precipitation dataset for a meso-scale catchment (4,062 km2) of the Upper Severn River, UK was constructed using rainfall radar data to disaggregate a daily precipitation (rain gauge) dataset. The dataset was compared to an hourly precipitation dataset created entirely from rainfall radar data. Results found that when assessed against gauge readings and as input to the Lisflood-RR hydrological model, the rain gauge/radar disaggregated dataset performed the best suggesting that this simple method of combining rainfall radar data with rain gauge readings can provide temporally detailed precipitation datasets for calibrating hydrological models.