Articles | Volume 16, issue 12
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


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 
Short summary
Two novel techniques for ensemble-based data assimilation, suitable for semi-positive-definite variables with highly skewed uncertainty distributions such as tephra deposit mass loading, are applied to reconstruct the tephra fallout deposit resulting from the 2015 Calbuco eruption in Chile. The deposit spatial distribution and the ashfall volume according to the analyses are in good agreement with estimations based on field measurements and isopach maps reported in previous studies.