Articles | Volume 15, issue 17
Geosci. Model Dev., 15, 6891–6917, 2022
https://doi.org/10.5194/gmd-15-6891-2022
Geosci. Model Dev., 15, 6891–6917, 2022
https://doi.org/10.5194/gmd-15-6891-2022
Model evaluation paper
12 Sep 2022
Model evaluation paper | 12 Sep 2022

Assessment of the data assimilation framework for the Rapid Refresh Forecast System v0.1 and impacts on forecasts of a convective storm case study

Ivette H. Banos 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 gmd-2021-289', Anonymous Referee #1, 11 Nov 2021
    • AC4: 'Reply on RC1', Ivette Hernandez Banos, 11 Feb 2022
  • RC2: 'Comment on gmd-2021-289', Anonymous Referee #2, 20 Nov 2021
    • AC2: 'Reply on RC2', Ivette Hernandez Banos, 11 Feb 2022
  • RC3: 'Comment on gmd-2021-289', Anonymous Referee #3, 23 Nov 2021
    • AC3: 'Reply on RC3', Ivette Hernandez Banos, 11 Feb 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Ivette Hernandez Banos on behalf of the Authors (11 Feb 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (13 Feb 2022) by Travis O'Brien
RR by Anonymous Referee #1 (01 Mar 2022)
RR by Anonymous Referee #4 (29 Mar 2022)
ED: Publish subject to minor revisions (review by editor) (06 Apr 2022) by Travis O'Brien
AR by Ivette Hernandez Banos on behalf of the Authors (17 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish subject to minor revisions (review by editor) (26 Apr 2022) by Travis O'Brien
AR by Ivette Hernandez Banos on behalf of the Authors (04 May 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (05 May 2022) by Travis O'Brien
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Short summary
A prototype data assimilation system for NOAA’s next-generation rapidly updated, convection-allowing forecast system, or Rapid Refresh Forecast System (RRFS) v0.1, is tested and evaluated. The impact of using data assimilation with a convective storm case study is examined. Although the convection in RRFS tends to be overestimated in intensity and underestimated in extent, the use of data assimilation proves to be crucial to improve short-term forecasts of storms and precipitation.