Research output per year
Research output per year
Project Details
Description
Improving cold-season process representation in the LPJ-GUESS dynamic vegetation model, with a focus on non-growing season greenhouse gas emissions, snow- and permafrost dynamics. The overall aim is to reduce model uncertainty and provide more robust estimates on the future high latitude carbon balance under different climate scenarios.
| Status | Finished |
|---|---|
| Effective start/end date | 2018/09/01 → 2023/03/03 |
UN Sustainable Development Goals
In 2015, UN member states agreed to 17 global Sustainable Development Goals (SDGs) to end poverty, protect the planet and ensure prosperity for all. This project contributes towards the following SDG(s):
Research output
- 2 Article
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Warming-induced contrasts in snow depth drive the future trajectory of soil carbon loss across the Arctic-Boreal region
Pongrácz, A., Wårlind, D., Miller, P., Gustafson, A., Rabin, S. S. & Parmentier, F.-J., 2024 Nov 8, In: Communications Earth and Environment. 5, 1, 684 .Research output: Contribution to journal › Article › peer-review
Open Access -
Model simulations of arctic biogeochemistry and permafrost extent are highly sensitive to the implemented snow scheme in LPJ-GUESS
Pongracz, A., Wårlind, D., Miller, P. A. & Parmentier, F. J. W., 2021 Oct 26, In: Biogeosciences. 18, 20, p. 5767-5787 21 p.Research output: Contribution to journal › Article › peer-review
Open Access
Infrastructure
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Lund-Potsdam-Jena General Ecosystem Simulator (LPJ-GUESS)
Pugh, T. (Manager) & Miller, P. (Manager)
MERGE: ModElling the Regional and Global Earth systemInfrastructure
Activities
- 1 Presentation