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首页> 外文期刊>Journal of the American Water Resources Association >EVALUATION OF GAUGE-RADAR MERGING METHODS USING A SEMI-DISTRIBUTED HYDROLOGICAL MODEL IN THE UPPER THAMES RIVER BASIN, CANADA
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EVALUATION OF GAUGE-RADAR MERGING METHODS USING A SEMI-DISTRIBUTED HYDROLOGICAL MODEL IN THE UPPER THAMES RIVER BASIN, CANADA

机译：使用半分布式水文模型在加拿大上塔姆斯河流域评估仪表-雷达合并方法

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摘要

Gauge-radar merging methods combine rainfall estimates from rain gauges and radar to capitalize on the strengths of the individual instruments. The performance of four well-known gauge-radar merging methods, including mean field bias correction, Brandes spatial adjustment, local bias correction using kriging, and conditional merging, are examined using Environment Canada radar and the Upper Thames River Basin in southwestern Ontario, Canada, as a case study. The analysis assesses the effect of gauge-radar merging methods on: (1) the accuracy of predicted rainfall accumulations; and (2) the accuracy of predicted streamflows using a semi-distributed hydrological model. In addition, several influencing factors (i.e., gauge density, storm type, basin type, proximity to the radar tower, and time-step of adjustment) are analyzed to determine their effect on the performance of the rainfall estimation techniques. Confirming results of previous studies, the merging methods provide an increase in the accuracy of both rainfall accumulation estimations and predicted streamflows. The results also indicate specific factors such as gauge density, rainfall intensity, and time-step of adjustment can reduce the accuracy of merging methods and play a key role in the examination of its use for operational purposes. Results provide guidance for hydrologists and engineers assessing how best to apply corrected radar products to improve rainfall estimation and hydrological modeling accuracy.
机译：量表-雷达合并方法结合了雨量计和雷达的降雨估计，以利用各个仪器的优势。使用加拿大环境雷达和加拿大西南安大略省的上泰晤士河盆地，研究了四种著名的轨距雷达合并方法的性能，包括平均场偏差校正，布兰德斯空间调整，使用克里金法的局部偏差校正和条件合并。 ，作为案例研究。该分析评估了轨距雷达合并方法对以下方面的影响：（1）预测降雨累积的准确性； （2）使用半分布式水文模型的预测流量的准确性。此外，还分析了几个影响因素（即，表密度，风暴类型，盆地类型，距雷达塔的距离以及调整的时间步长），以确定它们对降雨估算技术性能的影响。先前研究的结果证实，合并方法提高了降雨累积估算和预测流量的准确性。结果还表明，诸如表密度，降雨强度和调整时间步长之类的特定因素会降低合并方法的准确性，并在检查其用于操作目的的使用中发挥关键作用。结果为水文学家和工程师评估如何最佳应用校正后的雷达产品以改善降雨估计和水文建模精度提供了指导。

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