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Articles | Volume 16, issue 12
https://doi.org/10.5194/gmd-16-3459-2023
https://doi.org/10.5194/gmd-16-3459-2023
Development and technical paper
 | 
27 Jun 2023
Development and technical paper |  | 27 Jun 2023

Reconstructing tephra fall deposits via ensemble-based data assimilation techniques

Leonardo Mingari, Antonio Costa, Giovanni Macedonio, and Arnau Folch

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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-2022-246', Anonymous Referee #1, 20 Dec 2022
  • RC2: 'Comment on gmd-2022-246', Anonymous Referee #2, 27 Dec 2022
  • RC3: 'Comment on gmd-2022-246', Matthieu Plu, 30 Dec 2022
  • AC1: 'Comment on gmd-2022-246', Leonardo Mingari, 16 Mar 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Leonardo Mingari on behalf of the Authors (29 Apr 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (02 May 2023) by Yuefei Zeng
RR by Anonymous Referee #1 (15 May 2023)
RR by Anonymous Referee #2 (17 May 2023)
RR by Matthieu Plu (22 May 2023)
ED: Publish as is (23 May 2023) by Yuefei Zeng
AR by Leonardo Mingari on behalf of the Authors (24 May 2023)  Manuscript 
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Short summary
Two novel techniques for ensemble-based data assimilation, suitable for semi-positive-definite...
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