Preprints
https://doi.org/10.5194/gmd-2022-1
https://doi.org/10.5194/gmd-2022-1
Submitted as: model description paper
17 Mar 2022
Submitted as: model description paper | 17 Mar 2022
Status: this preprint is currently under review for the journal GMD.

LPJ-GUESS/LSMv1.0: A next generation Land Surface Model with high ecological realism

David Martín Belda1, Peter Anthoni1, David Wårlind2, Stefan Olin2, Guy Schurgers3,5, Jing Tang2,3,4, Benjamin Smith2,6, and Almut Arneth1 David Martín Belda et al.
  • 1Karlsruhe Institute of Technology KIT, Institute of Meteorology and Climate Research - Atmospheric Environmental Research (IMK-IFU), 82467 Garmisch-Partenkirchen, Germany
  • 2University of Lund, Department of Physical Geography and Ecosystem Science, 223 62, Lund, Sweden
  • 3Terrestrial Ecology Section, Department of Biology, Universitetsparken 15, DK-2100, Copenhagen Ø, Denmark
  • 4Center for Permafrost (CENPERM), University of Copenhagen, Øster Voldgade 10, DK-1350, Copenhagen K, Denmark
  • 5Department of Geosciences and Natural Resource Management, University of Copenhagen, Copenhagen, Denmark
  • 6Hawkesbury Institute for the Environment, Western Sydney University, Richmond, NSW, Australia

Abstract. Land biosphere processes are of central importance to the climate system. Specifically, biological processes interact with the atmosphere through a variety of feedback loops that modulate energy, water and CO2 fluxes between the land surface and the atmosphere across a wide range of temporal and spatial scales. Human land use and land cover modification add a further level of complexity to land-atmosphere interactions. Dynamic Global Vegetation Models (DGVMs) attempt to capture these land surface processes, and are increasingly incorporated into Earth System Models (ESMs), which makes it possible to study the coupled dynamics of the land-biosphere and the climate. In this work we describe a number of modifications to the LPJ-GUESS DGVM, aimed at enabling direct integration into an ESM. These include energy balance closure, the introduction of a sub-daily time step, a new radiative transfer scheme, and improved soil physics. The implemented modifications allow the model (LPJ-GUESS/LSM) to simulate the diurnal exchange of energy, water and CO2 between the land-ecosystem and the atmosphere. A site-based evaluation against FLUXNET2015 data shows reasonable agreement between observed and modeled sensible and latent heat fluxes. Differences in predicted ecosystem function between standard LPJ-GUESS and LPJ-GUESS/LSM vary across land cover types, but the emergent ecosystem composition and structure are consistent between the two versions. We find that the choice of stomatal conductance model has a major impact on the model's predictions. The new LSM implementation described in this work lays the foundation for using the well established LPJ-GUESS DGVM as an alternative LSM in coupled land-biosphere-climate studies, where an accurate representation of ecosystem processes is essential.

David Martín Belda et al.

Status: open (until 20 May 2022)

Comment types: AC – author | RC – referee | CC – community | EC – editor | CEC – chief editor | : Report abuse
  • RC1: 'Comment on gmd-2022-1', Anonymous Referee #1, 10 May 2022 reply

David Martín Belda et al.

Data sets

Forcing data, evaluation data, model output and analysis scripts used in LPJ-GUESS/LSM description paper David Martin Belda https://doi.org/10.5281/zenodo.5813886

David Martín Belda et al.

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Short summary
We present a number of augmentations to the ecosystem model LPJ-GUESS, which will allow 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 modeled vegetation processes. The modeled fluxes are in fair agreement with observations across 22 sites from the FLUXNET network.