  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.
