Articles | Volume 18, issue 20
https://doi.org/10.5194/bg-18-5767-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/bg-18-5767-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
26 Oct 2021
Research article |
| 26 Oct 2021
| 26 Oct 2021
Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS
Alexandra Pongracz
CORRESPONDING AUTHOR
Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
David Wårlind
Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
Paul A. Miller
Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
Frans-Jan W. Parmentier
Department of Physical Geography and Ecosystem Science, Lund University, Lund, Sweden
Centre for Biogeochemistry in the Anthropocene, Department of Geosciences, University of Oslo, Oslo, Norway
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Cited
14 citations as recorded by crossref.
- Advances in Permafrost Representation: Biophysical Processes in Earth System Models and the Role of Offline Models H. Matthes et al. 10.1002/ppp.2269
- The importance of interactions between snow, permafrost and vegetation dynamics in affecting terrestrial carbon balance in circumpolar regions Y. Xu & Q. Zhuang 10.1088/1748-9326/acc1f7
- Impact of snow thermal conductivity schemes on pan-Arctic permafrost dynamics in the Community Land Model version 5.0 A. Damseaux et al. 10.5194/tc-19-1539-2025
- Recent Advances and Challenges in Monitoring and Modeling Non-Growing Season Carbon Dioxide Fluxes from the Arctic Boreal Zone K. Arndt et al. 10.1007/s40641-023-00190-4
- Disentangling future effects of climate change and forest disturbance on vegetation composition and land surface properties of the boreal forest L. Layritz et al. 10.5194/bg-22-3635-2025
- Understanding the influence of thermal properties and surface conditions on thermal modelling results at two permafrost sites K. Ozeritskiy & J. Hayley 10.1139/cgj-2024-0716
- Snow thermal conductivity controls future winter carbon emissions in shrub–tundra J. Rutherford et al. 10.5194/bg-22-5031-2025
- Towards the incorporation of hydrogeochemistry into the modelling of permafrost environments: a review of recent recommendations, considerations, and literature C. Lapalme et al. 10.1139/as-2022-0038
- Warming-induced contrasts in snow depth drive the future trajectory of soil carbon loss across the Arctic-Boreal region A. Pongracz et al. 10.1038/s43247-024-01838-1
- The net ecosystem carbon balance (NECB) at catchment scales in the Arctic E. López-Blanco et al. 10.3389/fenvs.2025.1544586
- Simulating net ecosystem exchange under seasonal snow cover at an Arctic tundra site V. Dutch et al. 10.5194/bg-21-825-2024
- A comprehensive evaluation of hydrological processes in a second‐generation dynamic vegetation model H. Zhou et al. 10.1002/hyp.15152
- Recent advances in integrated hydrologic models: Integration of new domains A. Brookfield et al. 10.1016/j.jhydrol.2023.129515
- Climate Warming Benefits Plant Growth but Not Net Carbon Uptake: Simulation of Alaska Tundra and Needle Leaf Forest Using LPJ-GUESS C. Liu et al. 10.3390/land13050632
14 citations as recorded by crossref.
- Advances in Permafrost Representation: Biophysical Processes in Earth System Models and the Role of Offline Models H. Matthes et al. 10.1002/ppp.2269
- The importance of interactions between snow, permafrost and vegetation dynamics in affecting terrestrial carbon balance in circumpolar regions Y. Xu & Q. Zhuang 10.1088/1748-9326/acc1f7
- Impact of snow thermal conductivity schemes on pan-Arctic permafrost dynamics in the Community Land Model version 5.0 A. Damseaux et al. 10.5194/tc-19-1539-2025
- Recent Advances and Challenges in Monitoring and Modeling Non-Growing Season Carbon Dioxide Fluxes from the Arctic Boreal Zone K. Arndt et al. 10.1007/s40641-023-00190-4
- Disentangling future effects of climate change and forest disturbance on vegetation composition and land surface properties of the boreal forest L. Layritz et al. 10.5194/bg-22-3635-2025
- Understanding the influence of thermal properties and surface conditions on thermal modelling results at two permafrost sites K. Ozeritskiy & J. Hayley 10.1139/cgj-2024-0716
- Snow thermal conductivity controls future winter carbon emissions in shrub–tundra J. Rutherford et al. 10.5194/bg-22-5031-2025
- Towards the incorporation of hydrogeochemistry into the modelling of permafrost environments: a review of recent recommendations, considerations, and literature C. Lapalme et al. 10.1139/as-2022-0038
- Warming-induced contrasts in snow depth drive the future trajectory of soil carbon loss across the Arctic-Boreal region A. Pongracz et al. 10.1038/s43247-024-01838-1
- The net ecosystem carbon balance (NECB) at catchment scales in the Arctic E. López-Blanco et al. 10.3389/fenvs.2025.1544586
- Simulating net ecosystem exchange under seasonal snow cover at an Arctic tundra site V. Dutch et al. 10.5194/bg-21-825-2024
- A comprehensive evaluation of hydrological processes in a second‐generation dynamic vegetation model H. Zhou et al. 10.1002/hyp.15152
- Recent advances in integrated hydrologic models: Integration of new domains A. Brookfield et al. 10.1016/j.jhydrol.2023.129515
- Climate Warming Benefits Plant Growth but Not Net Carbon Uptake: Simulation of Alaska Tundra and Needle Leaf Forest Using LPJ-GUESS C. Liu et al. 10.3390/land13050632
Latest update: 30 Oct 2025
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.
This study shows that the introduction of a multi-layer snow scheme in the LPJ-GUESS DGVM...
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