LPJmL4 model output for the publications in GMD: LPJmL4 - a dynamic global vegetation model with managed land: Part I – Model description and Part II – Model evaluation

  • Sibyll Schaphoff (Creator)
  • Werner von Bloh (Creator)
  • Anja Rammig (Creator)
  • Kirsten Thonicke (Creator)
  • Hester Biemans (Creator)
  • Matthias Forkel (Creator)
  • Dieter Gerten (Creator)
  • Jens Heinke (Creator)
  • Jonas Jägermeyr (Creator)
  • Jürgen Knauer (Creator)
  • Fanny Langerwisch (Creator)
  • Wolfgang Lucht (Creator)
  • Christoph Müller (Creator)
  • Susanne Rolinski (Creator)
  • Katharina Waha (Creator)

Dataset

Description

LPJmL4 is a process-based model that simulates climate and land-use change impacts on the terrestrial biosphere, the water and carbon cycle and on agricultural production. The LPJmL4 model combines plant physiological relations, generalized empirically established functions and plant trait parameters. The model incorporates dynamic land use at the global scale and is also able to simulate the production of woody and herbaceous short-rotation bio-energy plantations. Grid cells may contain one or several types of natural or agricultural vegetation. A comprehensive description of the model is given by Schaphoff et al. (2017a, http://doi.org/10.5194/gmd-2017-145).

The data presented here represent some standard LPJmL4 model results for the land surface described in Schaphoff et al. (2017a,). Additionally, these results are evaluated in the companion paper of Schaphoff et al. (2017b, http://doi.org/10.5194/gmd-2017-146). The data collection includes some key output variables made with different model setups described by Schaphoff et al. (2017b).

The data cover the entire globe with a spatial resolution of 0.5° and temporal coverage from 1901-2011 on an annual basis for soil, vegetation, aboveground and litter carbon as well as for vegetation distribution, crop yields, sowing dates, maximum thawing depth, and fire carbon emissions. Vegetation distribution is given for each plant functional type (PFT), crop yields, and sowing dates are given for each crop functional type (CFT), respectively. Monthly data are provided for the carbon fluxes (net primary production, gross primary production, soil respiration) and the water fluxes (transpiration, evaporation, interception, runoff, and discharge) and for absorbed photosynthetically active radiation (FAPAR) and albedo.
  • LPJmL4 - A dynamic global vegetation model with managed land - Part 1: Model description

    Schaphoff, S., von Bloh, W., Rammig, A., Thonicke, K., Biemans, H., Forkel, M., Gerten, D., Heinke, J., Jägermeyr, J., Knauer, J., Langerwisch, F., Lucht, W., Müller, C., Rolinski, S. & Waha, K., 12 Apr 2018, In: Geoscientific Model Development. 11, 4, p. 1343-1375

    Research output: Contribution to journalArticleAcademicpeer-review

    Open Access
    51 Citations (Scopus)
  • LPJmL4 Model Code

    Schaphoff, S., von Bloh, W., Thonicke, K., Biemans, H., Forkel, M., Gerten, D., Heinke, J., Jägermeyr, J., Müller, C., Rolinski, S., Waha, K., Stehfest, E., de Waal, L., Heyder, U., Gumpenberger, M. & Beringer, T., 2018

    Research output: Non-textual formSoftware

    Open Access

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