Articles | Volume 16, issue 9
https://doi.org/10.5194/tc-16-3489-2022
https://doi.org/10.5194/tc-16-3489-2022
Research article
 | 
01 Sep 2022
Research article |  | 01 Sep 2022

Large-scale snow data assimilation using a spatialized particle filter: recovering the spatial structure of the particles

Jean Odry, Marie-Amélie Boucher, Simon Lachance-Cloutier, Richard Turcotte, and Pierre-Yves St-Louis

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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 tc-2021-322', Bertrand Cluzet, 02 Dec 2021
  • RC2: 'Comment on tc-2021-322', Anonymous Referee #2, 05 Jan 2022

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Publish subject to revisions (further review by editor and referees) (31 Jan 2022) by Nora Helbig
AR by Jean Odry on behalf of the Authors (19 Mar 2022)  Author's tracked changes   Manuscript 
EF by Sarah Buchmann (25 Mar 2022)  Author's response 
ED: Referee Nomination & Report Request started (25 Mar 2022) by Nora Helbig
RR by Anonymous Referee #2 (11 Apr 2022)
RR by Bertrand Cluzet (20 Apr 2022)
ED: Publish subject to revisions (further review by editor and referees) (25 Apr 2022) by Nora Helbig
AR by Jean Odry on behalf of the Authors (21 Jun 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Publish subject to revisions (further review by editor and referees) (21 Jun 2022) by Nora Helbig
ED: Referee Nomination & Report Request started (22 Jun 2022) by Nora Helbig
RR by Anonymous Referee #2 (05 Jul 2022)
ED: Publish as is (06 Jul 2022) by Nora Helbig
AR by Jean Odry on behalf of the Authors (08 Jul 2022)  Manuscript 
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Short summary
The research deals with the assimilation of in-situ local snow observations in a large-scale spatialized snow modeling framework over the province of Quebec (eastern Canada). The methodology is based on proposing multiple spatialized snow scenarios using the snow model and weighting them according to the available observations. The paper especially focuses on the spatial coherence of the snow scenario proposed in the framework.