Articles | Volume 27, issue 12
Research article
21 Jun 2023
Research article |  | 21 Jun 2023

Snow data assimilation for seasonal streamflow supply prediction in mountainous basins

Sammy Metref, Emmanuel Cosme, Matthieu Le Lay, and Joël Gailhard


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on egusphere-2022-385', Anonymous Referee #1, 03 Oct 2022
    • AC1: 'Reply on RC1', Sammy Metref, 09 Feb 2023
  • RC2: 'Comment on egusphere-2022-385', Anonymous Referee #2, 14 Jan 2023
    • AC2: 'Reply on RC2', Sammy Metref, 09 Feb 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
ED: Reconsider after major revisions (further review by editor and referees) (11 Feb 2023) by Günter Blöschl
AR by Sammy Metref on behalf of the Authors (24 Mar 2023)  Author's response   Author's tracked changes 
EF by Sarah Buchmann (24 Mar 2023)  Manuscript 
ED: Publish as is (21 May 2023) by Günter Blöschl
AR by Sammy Metref on behalf of the Authors (25 May 2023)  Manuscript 
Short summary
Predicting the seasonal streamflow supply of water in a mountainous basin is critical to anticipating the operation of hydroelectric dams and avoiding hydrology-related hazard. This quantity partly depends on the snowpack accumulated during winter. The study addresses this prediction problem using information from streamflow data and both direct and indirect snow measurements. In this study, the prediction is improved by integrating the data information into a basin-scale hydrological model.