Articles | Volume 15, issue 2
Atmos. Meas. Tech., 15, 261–277, 2022
https://doi.org/10.5194/amt-15-261-2022
Atmos. Meas. Tech., 15, 261–277, 2022
https://doi.org/10.5194/amt-15-261-2022

Research article 19 Jan 2022

Research article | 19 Jan 2022

Improvement in algorithms for quality control of weather radar data (RADVOL-QC system)

Katarzyna Ośródka and Jan Szturc

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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-2021-324', Anonymous Referee #1, 01 Nov 2021
    • AC1: 'Reply on RC1', Jan Szturc, 30 Nov 2021
  • RC2: 'Comment on amt-2021-324', Anonymous Referee #2, 19 Nov 2021
    • AC2: 'Reply on RC2', Jan Szturc, 30 Nov 2021
      • RC3: 'Reply on AC2', Anonymous Referee #2, 30 Nov 2021
        • AC3: 'Reply on RC3', Jan Szturc, 02 Dec 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Jan Szturc on behalf of the Authors (06 Dec 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (06 Dec 2021) by Gianfranco Vulpiani
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Short summary
Weather radar data are used in weather monitoring and forecasting, but they are affected by numerous errors and require advanced corrections. Different systems are designed and implemented to suit specific local conditions, like the RADVOL-QC system. The radar errors are divided into several groups: disturbance by non-meteorological echoes (from the mountains, RLAN signals, wind turbines, etc.), beam blockage, attenuation, etc. Each of them has different properties and is corrected differently.