Articles | Volume 16, issue 9
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


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-1405', Anonymous Referee #1, 12 Feb 2023
    • AC1: 'Reply on RC1', Christopher Williams, 21 Mar 2023
  • RC2: 'Comment on egusphere-2022-1405', Anonymous Referee #2, 27 Feb 2023
    • AC2: 'Reply on RC2', Christopher Williams, 21 Mar 2023
  • RC3: 'Comment on egusphere-2022-1405', Anonymous Referee #3, 06 Mar 2023
    • AC3: 'Reply on RC3', Christopher Williams, 21 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Christopher Williams on behalf of the Authors (21 Mar 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Publish as is (24 Mar 2023) by Stefan Kneifel
AR by Christopher Williams on behalf of the Authors (05 Apr 2023)  Manuscript 
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.