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The calibration of weather radar for detecting meteorological phenomena has advanced rapidly, aiming to enhance accuracy. Utilizing an unmanned aerial vehicle (UAV) equipped with a suspended metal sphere introduces an efficient calibration method by allowing dynamic adjustment of the UAV's position, effectively acting as a mobile calibration platform. However, external factors such as wind can introduce bias in reflectivity measurements by causing the sphere to deviate from its intended position. This study develops a theoretical model to assess the impact of the metal sphere's one-dimensional oscillation on reflectivity. The findings offer valuable insights for UAV based radar calibration efforts.
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Zhao et al. (2024) studied this question.
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