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Published on: May 1, 2018
Weather Radar Calibration Method Based on UAV-Suspended Metal Sphere
Fei Ye1, Xiaopeng Wang2, Lu Li2
1Changsha Meteorological Radar Calibration Center, Changsha 410207, China.
This study introduces a novel UAV-based metal sphere calibration for weather radar, enhancing data accuracy for severe weather monitoring. The method achieves high precision for key radar parameters, improving severe weather detection.
Area of Science:
- Meteorology and Atmospheric Science
- Remote Sensing Technology
- Geospatial Engineering
Background:
- Accurate weather radar calibration is essential for high-quality severe convective weather monitoring.
- Existing calibration methods can be labor-intensive and may not provide real-time positional data.
- The need for efficient and precise calibration techniques is critical for advancing meteorological observations.
Purpose of the Study:
- To develop and validate a UAV-based metal sphere calibration method for weather radar.
- To establish a complete calibration process with accuracy evaluation metrics.
- To improve the efficiency and precision of radar calibration for severe weather applications.
Main Methods:
- Utilizing a UAV platform with a high-precision RTK system and laser range camera for real-time metal sphere positioning.
- Implementing a UAV-suspended metal sphere technique for quantitative calibration of radar reflectivity (Z) and differential reflectivity (ZDR).
- Developing a "coarse adjustment + fine adjustment + staring" sphere-finding technique using RHI, PPI, and FIX scanning modes for accurate target acquisition.
Main Results:
- The combined RTK and laser camera system significantly improved radar target acquisition efficiency.
- UAV-suspended metal sphere calibration achieved accuracies of within 0.5 dB for Z and 0.2 dB for ZDR.
- The established sphere-finding technique successfully centered the metal sphere in the radar bin, minimizing errors.
Conclusions:
- The UAV-based metal sphere calibration method provides an efficient and accurate approach for weather radar calibration.
- This technique enhances the reliability of observational data for severe convective weather monitoring.
- The developed method supports periodic quantitative calibration and qualitative inspection of critical radar parameters.
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