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Impacts of wind farms on weather radar data and spatial rainfall estimation

机译:风电场对气象雷达数据和空间降雨估算的影响

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Lately, the use of wind farms in Romania to generate electricity is growing.Wind turbines cause contamination of weather radar signals that is under certainconditions difficult to distinguish from weather echoes. Areas of false reflectivities,mean radial velocity and spectrum width data may appear in base data displays. Theseartifacts can affect and confuse weather forecasters and other radar data users. Sincedata from weather radars are key components in the decision making process of issuingsevere weather warnings and nowcasting forecasts, and numerical weather modelsassimilation, this paper documents and addresses some of the impacts of wind farms on radardata. The WSR"8D radar at Medgidia was chosen for this study. A combination oflow-resolution radar products and high-resolution data was used to document the impacts.The data have been used to construct a climatology of wind farm echo observation andto develop a GIS-based mitigation algorithm. The results of the study highlight thepotential impacts of the wind farm echoes and the performance of the correctionalgorithm. The operational implementation of the mitigation algorithm was proposed.
机译:近年来,罗马尼亚越来越多地使用风电场发电。风力涡轮机会污染天气雷达信号,在某些情况下很难与天气回波区分开来。基本数据显示中可能会出现反射率错误的区域,平均径向速度和光谱宽度数据。这些伪影可能会影响天气预报员和其他雷达数据用户并使他们感到困惑。由于天气雷达的数据是发布严重天气警告和临近预报的预报以及数值天气模型同化的决策过程中的关键组成部分,因此本文记录并解决了风电场对雷达数据的某些影响。本研究选择了Medgidia的WSR“ 8D雷达。将低分辨率雷达产品与高分辨率数据相结合来记录其影响。这些数据已用于构建风场回声观测的气候学并开发了GIS基于结果的缓解算法,研究结果突出了风电场回波的潜在影响以及校正算法的性能,提出了缓解算法的操作实现。

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