Statistical Evaluation of UAS-Based Antenna Measurement for Polarimetric Weather Radars

This is the authors' abstract. We don't add key points for this paper.

This article presents advancements in the development and validation of the Radio Frequency Sonde (RFSonde) [1], an unmanned aerial system (UAS) specifically designed for in-situ antenna pattern measurements of fielded weather radar systems. The RFSonde employs a 3-axis gimbal stabilization system, ensuring accurate mechanical polarization alignment of the probe during flights for scanning antenna patterns. The methodology was tested using two operational phased array radar (PAR) systems—Horus [2] and the Advanced Technology Demonstrator (ATD) [3]. A simulation framework was developed to assess critical measurement uncertainties arising from factors such as GNSS positional errors, environmental wind effects, and polarization tracking accuracy. Measured and simulated antenna pattern comparisons allowed us to establish UAS requirements for accurate weather radar calibration. This study also quantified transmit co-polar beam matching biases in differential reflectivity (ΔZDR,tx) and co-polar correlation coefficient (ρhv,tx). Combined with prior work measuring transmitted differential phase (ϕDP,tx) [4], these results demonstrate that the RFSonde can reliably achieve stringent calibration requirements under realistic field conditions. Meeting such calibration standards is essential for accurate weather radar products, such as quantitative precipitation estimation (QPE). Thus, this work validates the RFSonde as a practical, precise, and scalable solution for routine weather radar calibration and validation, potentially enhancing the reliability of radar-based meteorological observations.