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首页> 外文期刊>Journal of hydrometeorology >Evaluation of Radar Quantitative Precipitation Estimates (QPEs) as an Input of Hydrological Models for Hydrometeorological Applications
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Evaluation of Radar Quantitative Precipitation Estimates (QPEs) as an Input of Hydrological Models for Hydrometeorological Applications

机译：评估雷达定量降水估计（QPES）作为水力学应用水文模型的输入

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Weather radar provides real-time, spatially distributed precipitation estimates, whereas traditional gauge data are restricted in space. The use of radar quantitative precipitation estimates (QPEs) as an input of hydrological models for hydrometeorological applications has increased with the development of weather radar worldwide. New dual-polarization technology and algorithms are showing improvements to radar QPEs. This study evaluates radar QPEs from C-band radar at King City, Canada (WKR), and NEXRAD S-band radar at Buffalo, New York (KBUF), to verify the reliability and accuracy for operational use in the Humber River (semiurban) and Don River (urban) watersheds in the Greater Toronto Area (GTA), Canada. Twenty rainfall events that occurred from 2011 to 2017 were determined from hourly gauge measurements and compared with nine radar QPEs. Rain rates were estimated with different algorithms using three dualpolarized reflectivity values: horizontal reflectivity Z, differential reflectivity Z(DR), and specific differential phase K-DP. The correlation coefficient, bias, detection, and root-mean-square error were calculated and averaged over all events for each gauge station to show the spatial distribution and in a similar pattern to represent the variation by the event. The quality of the results in terms of accuracy and reliability indicates that the radar QPEs from KBUF S-band and WKR C-band multiparameter rain rate estimators can be effectively used as precipitation forcing of hydrological models for hydrometeorological applications. The high spatiotemporal resolution, long-term data archive, and good percent detection of radar QPEs can facilitate hydrometeorological applications by providing a continuous time series for hydrological models.
机译：天气雷达提供实时、空间分布的降水量估计，而传统的仪表数据在空间上受到限制。随着世界各地天气雷达的发展，雷达定量降水量估算（QPEs）作为水文气象应用水文模型的输入已得到增加。新的双极化技术和算法显示出雷达QPE的改进。本研究评估了加拿大国王城（WKR）C波段雷达和纽约布法罗（KBUF）NEXRAD S波段雷达的雷达QPE，以验证加拿大大多伦多地区（GTA）亨伯河（半城市）和唐河（城市）流域运行使用的可靠性和准确性。2011年至2017年发生的20次降雨事件是通过每小时的雨量计测量确定的，并与9次雷达QPE进行了比较。使用三个双偏振反射率值：水平反射率Z、差分反射率Z（DR）和比差相位K-DP，用不同的算法估算降雨率。计算每个测量站所有事件的相关系数、偏差、检测和均方根误差，并取其平均值，以显示空间分布，并以类似模式表示事件的变化。结果的准确性和可靠性表明，KBUF S波段和WKR C波段多参数降雨率估计器的雷达QPE可以有效地用作水文气象应用水文模型的降水强迫。雷达QPE的高时空分辨率、长期数据存档和良好的检测率可以为水文模型提供连续的时间序列，从而促进水文气象应用。

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