EGU26-8262, updated on 14 Mar 2026
https://doi.org/10.5194/egusphere-egu26-8262
EGU General Assembly 2026
© Author(s) 2026. This work is distributed under
the Creative Commons Attribution 4.0 License.
Poster | Wednesday, 06 May, 10:45–12:30 (CEST), Display time Wednesday, 06 May, 08:30–12:30
 
Hall X4, X4.159
SuperDARN Antenna Calibration using Air Traffic Data
Glenn Hussey, Remington Rohel, Brian Pitzel, and Pasha Ponomarenko
Glenn Hussey et al.
  • University of Saskatchewan, Institute of Space and Atmospheric Studies (ISAS), Department of Physics and Engineering Physics, Saskatoon, Canada (glenn.hussey@usask.ca)

SuperDARN radars have traditionally been calibrated using two methods: electrical measurements on site, and phase measurements between the main and auxiliary arrays. These methods are imperfect, as site visits are infrequent and array-level calibration neglects antenna-based errors.  Aircraft measurements are a superior calibration method.  Aircraft are ideally suited for SuperDARN radar calibrations, as they are numerous, compact, fly within the radar field-of-view, and their positions are catalogued frequently.  This work uses the OpenSky Network air traffic database in conjunction with SuperDARN radar measurements to identify airplanes and use them to calibrate the Saskatoon SuperDARN Canada radar on a per-antenna basis.

How to cite: Hussey, G., Rohel, R., Pitzel, B., and Ponomarenko, P.: SuperDARN Antenna Calibration using Air Traffic Data, EGU General Assembly 2026, Vienna, Austria, 3–8 May 2026, EGU26-8262, https://doi.org/10.5194/egusphere-egu26-8262, 2026.