Articles | Volume 15, issue 11
Geosci. Model Dev., 15, 4447–4468, 2022
https://doi.org/10.5194/gmd-15-4447-2022
Geosci. Model Dev., 15, 4447–4468, 2022
https://doi.org/10.5194/gmd-15-4447-2022
Methods for assessment of models
09 Jun 2022
Methods for assessment of models | 09 Jun 2022

A novel method for objective identification of 3-D potential vorticity anomalies

Christoph Fischer 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-2021-424', Anonymous Referee #1, 01 Feb 2022
  • RC2: 'Comment on gmd-2021-424', Anonymous Referee #2, 10 Mar 2022
  • AC1: 'Response to the comments from the two anonymous referees', Christoph Fischer, 10 Apr 2022
    • AC2: 'Updated line numbers', Christoph Fischer, 11 Apr 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by Christoph Fischer on behalf of the Authors (11 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Referee Nomination & Report Request started (12 Apr 2022) by Juan Antonio Añel
RR by Anonymous Referee #1 (18 Apr 2022)
RR by Anonymous Referee #2 (22 Apr 2022)
ED: Publish subject to minor revisions (review by editor) (22 Apr 2022) by Juan Antonio Añel
AR by Christoph Fischer on behalf of the Authors (27 Apr 2022)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (28 Apr 2022) by Juan Antonio Añel
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Short summary
Potential vorticity (PV) analysis plays a central role in studying atmospheric dynamics. For example, anomalies in the PV field near the tropopause are linked to extreme weather events. In this study, an objective strategy to identify these anomalies is presented and evaluated. As a novel concept, it can be applied to three-dimensional (3-D) data sets. Supported by 3-D visualizations, we illustrate advantages of this new analysis over existing studies along a case study.