Articles | Volume 16, issue 9
https://doi.org/10.5194/amt-16-2381-2023
https://doi.org/10.5194/amt-16-2381-2023
Research article
 | 
09 May 2023
Research article |  | 09 May 2023

Calibrating radar wind profiler reflectivity factor using surface disdrometer observations

Christopher R. Williams, Joshua Barrio, Paul E. Johnston, Paytsar Muradyan, and Scott E. Giangrande

Viewed

Total article views: 863 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
614 213 36 863 15 15
  • HTML: 614
  • PDF: 213
  • XML: 36
  • Total: 863
  • BibTeX: 15
  • EndNote: 15
Views and downloads (calculated since 10 Jan 2023)
Cumulative views and downloads (calculated since 10 Jan 2023)

Viewed (geographical distribution)

Total article views: 863 (including HTML, PDF, and XML) Thereof 855 with geography defined and 8 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Feb 2024
Download
Short summary
This study uses surface disdrometer observations to calibrate 8 years of 915 MHz radar wind profiler deployed in the central United States in northern Oklahoma. This study had two key findings. First, the radar wind profiler sensitivity decreased approximately 3 to 4 dB/year as the hardware aged. Second, this drift was slow enough that calibration can be performed using 3-month intervals. Calibrated radar wind profiler observations and Python processing code are available on public repositories.