Articles | Volume 18, issue 20
Biogeosciences, 18, 5767–5787, 2021
https://doi.org/10.5194/bg-18-5767-2021
Biogeosciences, 18, 5767–5787, 2021
https://doi.org/10.5194/bg-18-5767-2021

Research article 26 Oct 2021

Research article | 26 Oct 2021

Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS

Alexandra Pongracz et al.

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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 bg-2021-121', Anonymous Referee #1, 12 Jul 2021
    • AC1: 'Reply on RC1', Alexandra Pongracz, 14 Sep 2021
  • RC2: 'Comment on bg-2021-121', Anonymous Referee #2, 26 Aug 2021
    • AC2: 'Reply on RC2', Alexandra Pongracz, 14 Sep 2021

Peer review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (review by editor) (16 Sep 2021) by Alexey V. Eliseev
AR by Alexandra Pongracz on behalf of the Authors (24 Sep 2021)  Author's response    Author's tracked changes    Manuscript
ED: Publish as is (02 Oct 2021) by Alexey V. Eliseev
AR by Alexandra Pongracz on behalf of the Authors (04 Oct 2021)  Author's response    Manuscript
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Short summary
This study shows that the introduction of a multi-layer snow scheme in the LPJ-GUESS DGVM improved simulations of high-latitude soil temperature dynamics and permafrost extent compared to observations. In addition, these improvements led to shifts in carbon fluxes that contrasted within and outside of the permafrost region. Our results show that a realistic snow scheme is essential to accurately simulate snow–soil–vegetation relationships and carbon–climate feedbacks.
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