Articles | Volume 25, issue 7
Hydrol. Earth Syst. Sci., 25, 4061–4080, 2021
https://doi.org/10.5194/hess-25-4061-2021
Hydrol. Earth Syst. Sci., 25, 4061–4080, 2021
https://doi.org/10.5194/hess-25-4061-2021

Research article 13 Jul 2021

Research article | 13 Jul 2021

A climatological benchmark for operational radar rainfall bias reduction

Ruben Imhoff et al.

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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 hess-2021-105', Anonymous Referee #1, 30 Mar 2021
    • AC1: 'Reply on RC1', Ruben Imhoff, 21 May 2021
  • RC2: 'Comment on hess-2021-105', Anonymous Referee #2, 07 Apr 2021
    • AC2: 'Reply on RC2', Ruben Imhoff, 21 May 2021
  • RC3: 'Comment on hess-2021-105', Søren Thorndahl, 08 Apr 2021
    • AC3: 'Reply on RC3', Ruben Imhoff, 21 May 2021
  • RC4: 'Comment on hess-2021-105', Marco Gabella, 09 Apr 2021
    • AC4: 'Reply on RC4', Ruben Imhoff, 21 May 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to revisions (further review by editor and referees) (25 May 2021) by Nadav Peleg
AR by Ruben Imhoff on behalf of the Authors (11 Jun 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (15 Jun 2021) by Nadav Peleg
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Short summary
Significant biases in real-time radar rainfall products limit the use for hydrometeorological forecasting. We introduce CARROTS (Climatology-based Adjustments for Radar Rainfall in an OperaTional Setting), a set of fixed bias reduction factors to correct radar rainfall products and to benchmark other correction algorithms. When tested for 12 Dutch basins, estimated rainfall and simulated discharges with CARROTS generally outperform those using the operational mean field bias adjustments.