Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 10
Articles | Volume 17, issue 10
https://doi.org/10.5194/gmd-17-4213-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-4213-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 10
Methods for assessment of models
 | 
23 May 2024
Methods for assessment of models |  | 23 May 2024

An objective identification technique for potential vorticity structures associated with African easterly waves

Christoph Fischer, Andreas H. Fink, Elmar Schömer, Marc Rautenhaus, and Michael Riemer

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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-2023-218', Anonymous Referee #1, 22 Dec 2023
  • RC2: 'Comment on gmd-2023-218', Anonymous Referee #2, 29 Jan 2024
  • AC1: 'Response to the comments from the two anonymous referees', Christoph Fischer, 11 Mar 2024

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Christoph Fischer on behalf of the Authors (11 Mar 2024)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 Mar 2024) by Juan Antonio Añel
RR by Anonymous Referee #1 (22 Mar 2024)
RR by Anonymous Referee #2 (08 Apr 2024)
ED: Publish subject to technical corrections (09 Apr 2024) by Juan Antonio Añel
AR by Christoph Fischer on behalf of the Authors (11 Apr 2024)  Author's response   Manuscript 
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Short summary
This study presents a method for identifying and tracking 3-D potential vorticity structures within African easterly waves (AEWs). Each identified structure is characterized by descriptors, including its 3-D position and orientation, which have been validated through composite comparisons. A trough-centric perspective on the descriptors reveals the evolution and distinct characteristics of AEWs. These descriptors serve as valuable statistical inputs for the study of AEW-related phenomena.
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