Despite efforts to detect and mitigate wind farm clutter in weather radar observations of rainfall, these signatures propagate to quantitative precipitation estimates. In this study, the authors investigate the hydrologic impact of wind farm clutter in the Multi‐Radar Multi‐Sensor rainfall products. The study uses the probability of detection method to identify wind farm clutter in data from Iowa for the years 2016 and 2017. Using the physically based distributed hydrologic model called the Hillslope‐Link Model, the authors show that streamflow (flood) prediction errors are generally significant at smaller basin communities where wind farms occupy a large portion of the upstream basins. These errors due to wind farm clutter show systematic decrease with the basin scales. The results from this study have implications for real‐time streamflow forecasts provided automatically by the National Water Model at the National Oceanic and Atmospheric Administration, particularly at small riverine communities.

中文翻译：

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风电场效应对雷达降雨观测的水文影响

尽管在气象雷达降雨观测中努力检测和减轻风电场的混乱情况，但这些特征仍传播到定量降水估计中。在这项研究中，作者调查了多雷达多传感器降雨产品中风电场杂波的水文影响。该研究使用概率检测方法来识别爱荷华州2016年和2017年数据中的风场杂波。使用名为Hillslope-Link模型的基于物理的分布式水文模型，作者表明，流量（洪水）预测误差通常是对于风电场占据上游盆地大部分的较小盆地社区而言，这一点意义重大。这些由于风电场杂乱引起的误差显示出随着盆地尺度的系统减小。