Articles | Volume 16, issue 6
Research article
10 Jun 2022
Research article |  | 10 Jun 2022

GABLS4 intercomparison of snow models at Dome C in Antarctica

Patrick Le Moigne, Eric Bazile, Anning Cheng, Emanuel Dutra, John M. Edwards, William Maurel, Irina Sandu, Olivier Traullé, Etienne Vignon, Ayrton Zadra, and Weizhong Zheng


Interactive discussion

Status: closed

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on tc-2022-3', John King, 16 Feb 2022
    • AC1: 'Reply on RC1', Patrick Le Moigne, 24 Mar 2022
  • RC2: 'Comment on tc-2022-3', Richard L.H. Essery, 20 Feb 2022
    • AC2: 'Reply on RC2', Patrick Le Moigne, 24 Mar 2022

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) (01 Apr 2022) by Masashi Niwano
AR by Patrick Le Moigne on behalf of the Authors (08 Apr 2022)  Author's response   Author's tracked changes   Manuscript 
ED: Referee Nomination & Report Request started (12 Apr 2022) by Masashi Niwano
RR by John King (26 Apr 2022)
RR by Richard L.H. Essery (04 May 2022)
ED: Publish as is (13 May 2022) by Masashi Niwano
AR by Patrick Le Moigne on behalf of the Authors (13 May 2022)
Short summary
This paper describes an intercomparison of snow models, of varying complexity, used for numerical weather prediction or academic research. The results show that the simplest models are, under certain conditions, able to reproduce the surface temperature just as well as the most complex models. Moreover, the diversity of surface parameters of the models has a strong impact on the temporal variability of the components of the simulated surface energy balance.