Articles | Volume 16, issue 18
Development and technical paper
22 Sep 2023
Development and technical paper |  | 22 Sep 2023

Barents-2.5km v2.0: an operational data-assimilative coupled ocean and sea ice ensemble prediction model for the Barents Sea and Svalbard

Johannes Röhrs, Yvonne Gusdal, Edel S. U. Rikardsen, Marina Durán Moro, Jostein Brændshøi, Nils Melsom Kristensen, Sindre Fritzner, Keguang Wang, Ann Kristin Sperrevik, Martina Idžanović, Thomas Lavergne, Jens Boldingh Debernard, and Kai H. Christensen


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2023-20', Benjamin Barton, 19 Apr 2023
    • AC1: 'Reply on RC1', Johannes Röhrs, 25 May 2023
  • RC2: 'Comment on gmd-2023-20', Anonymous Referee #2, 23 Apr 2023
    • AC2: 'Reply on RC2', Johannes Röhrs, 26 May 2023

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision | EF: Editorial file upload
AR by Johannes Röhrs on behalf of the Authors (16 Jun 2023)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (05 Jul 2023) by Shu-Chih Yang
RR by Anonymous Referee #2 (15 Jul 2023)
RR by Benjamin Barton (19 Jul 2023)
ED: Publish subject to technical corrections (09 Aug 2023) by Shu-Chih Yang
AR by Johannes Röhrs on behalf of the Authors (17 Aug 2023)  Author's response   Manuscript 
Short summary
A model to predict ocean currents, temperature, and sea ice is presented, covering the Barents Sea and northern Norway. To quantify forecast uncertainties, the model calculates ensemble forecasts with 24 realizations of ocean and ice conditions. Observations from satellites, buoys, and ships are ingested by the model. The model forecasts are compared with observations, and we show that the ocean model has skill in predicting sea surface temperatures.