Articles | Volume 16, issue 9
https://doi.org/10.5194/amt-16-2381-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/amt-16-2381-2023
© Author(s) 2023. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
09 May 2023
Research article |
| 09 May 2023
| 09 May 2023
Calibrating radar wind profiler reflectivity factor using surface disdrometer observations
Christopher R. Williams
CORRESPONDING AUTHOR
Smead Aerospace Engineering Sciences Department, University of Colorado, Boulder, CO 80303, USA
Joshua Barrio
Smead Aerospace Engineering Sciences Department, University of Colorado, Boulder, CO 80303, USA
Paul E. Johnston
Cooperative Institute for Research in Environmental Sciences, University of Colorado, Boulder, CO 80316, USA
NOAA Physical Sciences Laboratory, Boulder, CO 80305, USA
Paytsar Muradyan
Argonne National Laboratory, Lemont, IL 60439, USA
Scott E. Giangrande
Environmental and Climate Sciences Department, Brookhaven National Laboratory, Upton, NY 11793, USA
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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.
This study uses surface disdrometer observations to calibrate 8 years of 915 MHz radar wind...
