Articles | Volume 15, issue 20
https://doi.org/10.5194/gmd-15-7715-2022
https://doi.org/10.5194/gmd-15-7715-2022
Model description paper
 | 
21 Oct 2022
Model description paper |  | 21 Oct 2022

A Bayesian data assimilation framework for lake 3D hydrodynamic models with a physics-preserving particle filtering method using SPUX-MITgcm v1

Artur Safin, Damien Bouffard, Firat Ozdemir, Cintia L. Ramón, James Runnalls, Fotis Georgatos, Camille Minaudo, and Jonas Šukys

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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-2021-305', Anonymous Referee #1, 22 Feb 2022
  • RC2: 'Comment on gmd-2021-305', Anonymous Referee #2, 24 Mar 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Artur Safin on behalf of the Authors (30 Jun 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (16 Jul 2022) by Wolfgang Kurtz
RR by Anonymous Referee #1 (28 Jul 2022)
ED: Reconsider after major revisions (10 Aug 2022) by Wolfgang Kurtz
AR by Artur Safin on behalf of the Authors (10 Sep 2022)  Author's response   Manuscript 
EF by Polina Shvedko (13 Sep 2022)  Author's tracked changes 
ED: Referee Nomination & Report Request started (16 Sep 2022) by Wolfgang Kurtz
RR by Anonymous Referee #1 (18 Sep 2022)
ED: Publish as is (22 Sep 2022) by Wolfgang Kurtz
AR by Artur Safin on behalf of the Authors (24 Sep 2022)
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Short summary
Reconciling the differences between numerical model predictions and observational data is always a challenge. In this paper, we investigate the viability of a novel approach to the calibration of a three-dimensional hydrodynamic model of Lake Geneva, where the target parameters are inferred in terms of distributions. We employ a filtering technique that generates physically consistent model trajectories and implement a neural network to enable bulk-to-skin temperature conversion.