Articles | Volume 15, issue 6
https://doi.org/10.5194/amt-15-1689-2022
https://doi.org/10.5194/amt-15-1689-2022
Research article
 | 
22 Mar 2022
Research article |  | 22 Mar 2022

Detecting wave features in Doppler radial velocity radar observations

Matthew A. Miller, Sandra E. Yuter, Nicole P. Hoban, Laura M. Tomkins, and Brian A. Colle

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Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on amt-2021-256', Anonymous Referee #1, 05 Nov 2021
    • AC1: 'Reply on RC1', Matthew Miller, 11 Dec 2021
  • RC2: 'Comment on amt-2021-256', Anonymous Referee #2, 12 Nov 2021
    • AC2: 'Reply on RC2', Matthew Miller, 11 Dec 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Matthew Miller on behalf of the Authors (16 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (10 Jan 2022) by William Ward
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Short summary
Apparent waves in the atmosphere and similar features in storm winds can be detected by taking the difference between successive Doppler weather radar scans measuring radar-relative storm air motions. Applying image filtering to the difference data better isolates the detected signal. This technique is a useful tool in weather research and forecasting since such waves can trigger or enhance precipitation.