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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33 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. https://doi.org/10.1016/j.rse.2024.114072
- Tower-to-global upscaling of terrestrial carbon fluxes driven by MODIS-LAI, Sentinel-3-LAI and ERA5-Land data P. Reyes-Muñoz et al. https://doi.org/10.1016/j.ecolind.2025.113597
- Advancing ecohydrological modelling: coupling LPJ-GUESS with ParFlow for integrated vegetation and surface-subsurface hydrology simulations Z. Jia et al. https://doi.org/10.5194/gmd-19-1727-2026
- A machine learning approach targeting parameter estimation for plant functional type coexistence modeling using ELM-FATES (v2.0) L. Li et al. https://doi.org/10.5194/gmd-16-4017-2023
- Contrasting carbon cycle along tropical forest aridity gradients in West Africa and Amazonia H. Zhang-Zheng et al. https://doi.org/10.1038/s41467-024-47202-x
- Optimized wetland rewetting strategies can control methane, carbon dioxide, and oxygen responses to water table fluctuations B. Zhao et al. https://doi.org/10.1038/s43247-025-03163-7
- Simulation of latent heat flux over a high altitude pasture in the tropical Andes with a coupled land surface framework J. Bendix et al. https://doi.org/10.1016/j.scitotenv.2025.179510
- Impacts of wildfires on boreal forest ecosystem carbon dynamics from 1986 to 2020 Y. Xu et al. https://doi.org/10.1088/1748-9326/ad489a
- Exploring interactive effects of water stress and ecological restoration on vegetation eco-regimes using interpretable machine learning based on kernel NDVI Y. Zhu et al. https://doi.org/10.1016/j.jhydrol.2025.134789
- A Guided Tour of the Soil Seed Banks A. Hambuckers https://doi.org/10.1134/S1995425523060100
- Advances in Permafrost Representation: Biophysical Processes in Earth System Models and the Role of Offline Models H. Matthes et al. https://doi.org/10.1002/ppp.2269
- A Guided Tour of the Soil Seed Banks A. Hambuckers https://doi.org/10.1134/S1995425523060100
- Shifts in forest management intensity mediate biodiversity outcomes under contrasting socio-economic and climate scenarios J. Raymond et al. https://doi.org/10.1088/1748-9326/ae9781
- Photosynthetic traits scale linearly with relative height within the canopy in an African tropical forest T. Sibret et al. https://doi.org/10.1111/nph.70076
- Improving the representation of plant water stress and water use in Earth System Models J. Dukes et al. https://doi.org/10.1111/nph.70687
- Optimizing runoff simulation in three mid-high latitude catchments by integrating terrestrial ecosystem modelling, hybrid machine learning, and causal inference H. Zhou et al. https://doi.org/10.1016/j.ejrh.2025.103085
- Data-constrained modeling of terrestrial gross primary production over the Tibetan Plateau for 2003–2019 S. Chen et al. https://doi.org/10.1016/j.agrformet.2024.110129
- Critical classification parameters linking species to Plant Functional Type in African ecosystems E. Akhabue et al. https://doi.org/10.1038/s41597-026-06728-z
- High-spatial-resolution gross primary production estimation from Sentinel-2 reflectance using hybrid Gaussian processes modeling E. De Clerck et al. https://doi.org/10.1016/j.isprsjprs.2025.11.033
- Changes in above- versus belowground biomass distribution in permafrost regions in response to climate warming H. Yun et al. https://doi.org/10.1073/pnas.2314036121
- Preface – special issue on “coupled atmosphere‐hydrological processes: Novel system developments and cross‐compartment evaluations” A. Senatore et al. https://doi.org/10.1002/hyp.14780
- The importance of interactions between snow, permafrost and vegetation dynamics in affecting terrestrial carbon balance in circumpolar regions Y. Xu & Q. Zhuang https://doi.org/10.1088/1748-9326/acc1f7
- Vegetation clumping modulates global photosynthesis through adjusting canopy light environment F. Li et al. https://doi.org/10.1111/gcb.16503
- WRF-ELM v1.0: a regional climate model to study land–atmosphere interactions over heterogeneous land use regions H. Huang et al. https://doi.org/10.5194/gmd-18-1427-2025
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- Toward a coordinated understanding of hydro‐biogeochemical root functions in tropical forests for application in vegetation models D. Cusack et al. https://doi.org/10.1111/nph.19561
- Introducing shrubs enhances the representation of high-latitude vegetation and carbon cycling in the ORCHIDEE land surface model A. Kirchner et al. https://doi.org/10.5194/bg-23-6521-2026
- Calibrating primary crop parameters to capture undersown species impacts Q. Bell et al. https://doi.org/10.1016/j.eja.2025.127676
- Trajectories of ecology past and future M. Westoby & J. Morgan https://doi.org/10.1071/BT25008
- Parameterizations of human activities in paleoclimate modeling: Current status and future perspectives X. Zhang et al. https://doi.org/10.1007/s11430-025-1877-y
- Uneven future greening across the northern high latitudes: Regional responses to rising CO2 K. Power https://doi.org/10.1016/j.ecolmodel.2025.111193
- Linking biodiversity, ecosystem function, and Nature’s contributions to people: a macroecological energy flux perspective A. Antunes et al. https://doi.org/10.1016/j.tree.2024.01.004
Saved (final revised paper)
Latest update: 09 Oct 2026
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...
