Articles | Volume 15, issue 17
https://doi.org/10.5194/gmd-15-6709-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-6709-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Model description paper
| 
06 Sep 2022
Model description paper |
| 06 Sep 2022
| 06 Sep 2022
LPJ-GUESS/LSMv1.0: a next-generation land surface model with high ecological realism
David Martín Belda
CORRESPONDING AUTHOR
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research – Atmospheric Environmental Research (IMK-IFU), 82467 Garmisch-Partenkirchen, Germany
Peter Anthoni
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research – Atmospheric Environmental Research (IMK-IFU), 82467 Garmisch-Partenkirchen, Germany
David Wårlind
University of Lund, Department of Physical Geography and Ecosystem Science, 223 62, Lund, Sweden
Stefan Olin
University of Lund, Department of Physical Geography and Ecosystem Science, 223 62, Lund, Sweden
Guy Schurgers
Terrestrial Ecology Section, Department of Biology, Universitetsparken 15, 2100, Copenhagen Ø, Denmark
Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
Jing Tang
University of Lund, Department of Physical Geography and Ecosystem Science, 223 62, Lund, Sweden
Terrestrial Ecology Section, Department of Biology, Universitetsparken 15, 2100, Copenhagen Ø, Denmark
Center for Permafrost (CENPERM), University of Copenhagen, Øster Voldgade 10, 1350, Copenhagen K, Denmark
Benjamin Smith
University of Lund, Department of Physical Geography and Ecosystem Science, 223 62, Lund, Sweden
Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia
Almut Arneth
Karlsruhe Institute of Technology (KIT), Institute of Meteorology and Climate Research – Atmospheric Environmental Research (IMK-IFU), 82467 Garmisch-Partenkirchen, Germany
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- Preface – special issue on “coupled atmosphere‐hydrological processes: Novel system developments and cross‐compartment evaluations” A. Senatore et al. 10.1002/hyp.14780
- A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0) L. Li et al. 10.5194/gmd-16-4017-2023
- Contrasting carbon cycle along tropical forest aridity gradients in West Africa and Amazonia H. Zhang-Zheng et al. 10.1038/s41467-024-47202-x
- 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
- Impacts of wildfires on boreal forest ecosystem carbon dynamics from 1986 to 2020 Y. Xu et al. 10.1088/1748-9326/ad489a
- Vegetation clumping modulates global photosynthesis through adjusting canopy light environment F. Li et al. 10.1111/gcb.16503
- A Guided Tour of the Soil Seed Banks A. Hambuckers 10.1134/S1995425523060100
- Toward a coordinated understanding of hydro‐biogeochemical root functions in tropical forests for application in vegetation models D. Cusack et al. 10.1111/nph.19561
- A Guided Tour of the Soil Seed Banks A. Hambuckers 10.1134/S1995425523060100
- Data-constrained modeling of terrestrial gross primary production over the Tibetan Plateau for 2003–2019 S. Chen et al. 10.1016/j.agrformet.2024.110129
- Linking biodiversity, ecosystem function, and Nature’s contributions to people: a macroecological energy flux perspective A. Antunes et al. 10.1016/j.tree.2024.01.004
- Changes in above- versus belowground biomass distribution in permafrost regions in response to climate warming H. Yun et al. 10.1073/pnas.2314036121
13 citations as recorded by crossref.
- Inferring global terrestrial carbon fluxes from the synergy of Sentinel 3 & 5P with Gaussian process hybrid models P. Reyes-Muñoz et al. 10.1016/j.rse.2024.114072
- Preface – special issue on “coupled atmosphere‐hydrological processes: Novel system developments and cross‐compartment evaluations” A. Senatore et al. 10.1002/hyp.14780
- A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0) L. Li et al. 10.5194/gmd-16-4017-2023
- Contrasting carbon cycle along tropical forest aridity gradients in West Africa and Amazonia H. Zhang-Zheng et al. 10.1038/s41467-024-47202-x
- 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
- Impacts of wildfires on boreal forest ecosystem carbon dynamics from 1986 to 2020 Y. Xu et al. 10.1088/1748-9326/ad489a
- Vegetation clumping modulates global photosynthesis through adjusting canopy light environment F. Li et al. 10.1111/gcb.16503
- A Guided Tour of the Soil Seed Banks A. Hambuckers 10.1134/S1995425523060100
- Toward a coordinated understanding of hydro‐biogeochemical root functions in tropical forests for application in vegetation models D. Cusack et al. 10.1111/nph.19561
- A Guided Tour of the Soil Seed Banks A. Hambuckers 10.1134/S1995425523060100
- Data-constrained modeling of terrestrial gross primary production over the Tibetan Plateau for 2003–2019 S. Chen et al. 10.1016/j.agrformet.2024.110129
- Linking biodiversity, ecosystem function, and Nature’s contributions to people: a macroecological energy flux perspective A. Antunes et al. 10.1016/j.tree.2024.01.004
- Changes in above- versus belowground biomass distribution in permafrost regions in response to climate warming H. Yun et al. 10.1073/pnas.2314036121
Latest update: 20 Nov 2024
Short summary
We present a number of augmentations to the ecosystem model LPJ-GUESS, which will allow us to use it in studies of the interactions between the land biosphere and the climate. The new module enables calculation of fluxes of energy and water into the atmosphere that are consistent with the modelled vegetation processes. The modelled fluxes are in fair agreement with observations across 21 sites from the FLUXNET network.
We present a number of augmentations to the ecosystem model LPJ-GUESS, which will allow us to...
