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

Cite as:

Schaphoff (Ed.), Sibyll; von Bloh, Werner; Rammig, Anja; Thonicke, Kirsten; Biemans, Hester; Forkel, Matthias; Gerten, Dieter; Heinke, Jens; Jägermeyr, Jonas; Knauer, Jürgen; Langerwisch, Fanny; Lucht, Wolfgang; Müller, Christoph; Rolinski, Susanne; Waha, Katharina (2018): 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. V. 1.0. GFZ Data Services. https://doi.org/10.5880/pik.2017.009

Status

I N R E V I E W : Schaphoff (Ed.), Sibyll; von Bloh, Werner; Rammig, Anja; Thonicke, Kirsten; Biemans, Hester; Forkel, Matthias; Gerten, Dieter; Heinke, Jens; Jägermeyr, Jonas; Knauer, Jürgen; Langerwisch, Fanny; Lucht, Wolfgang; Müller, Christoph; Rolinski, Susanne; Waha, Katharina (2018): 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. V. 1.0. GFZ Data Services. https://doi.org/10.5880/pik.2017.009

Abstract

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.

The data are provided in one netcdf file for each variable and experiment described by Schaphoff et al. (2017b). Crop yields and sowing dates are not provided for the LPJmL4-GSI-GlobFIRE-PNV experiment as this represents natural vegetation only. An overview of all variables and the number of bands are given in the file inventory.

Authors

Schaphoff (Ed.), Sibyll;Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
von Bloh, Werner;Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
Rammig, Anja;Technical University of Munich, School of Life Sciences, Munich, Germany
Thonicke, Kirsten;Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
Biemans, Hester;Alterra, Wageningen University and Research, Wageningen, Netherlands
Forkel, Matthias;TU Wien, Climate and Environmental Remote Sensing Group, Department of Geodesy and Geoinformation, Vienna, Austria
Gerten, Dieter;Potsdam Institute for Climate Impact Research, Potsdam, Germany;Humboldt Universität zu Berlin, Department of Geography, Berlin, Germany
Heinke, Jens;Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
Jägermeyr, Jonas;Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
Knauer, Jürgen;Max Planck Institute for Biogeochemistry, Jena, Germany
Langerwisch, Fanny;Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
Lucht, Wolfgang;Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany;Humboldt Universität zu Berlin, Department of Geography, Berlin, Germany
Müller, Christoph;Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
Rolinski, Susanne;Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany
Waha, Katharina;Potsdam Institute for Climate Impact Research, Telegraphenberg, Potsdam, Germany;CSIRO Agriculture & Food, St. Lucia, Australia

Contact

Schaphoff (Ed.), Sibyll (scientific researcher) ; Potsdam Institute for Climate Impact Research, Telegraphenberg, PO Box 60 12 03, 14412 Potsdam, Germany; ➦

Keywords

soil carbon, vegetation carbon, global carbon balance, permafrost distribution, discharge, fractional burned area, crop yields, global dynamic vegetation model, vegetation dynamics

GCMD Science Keywords

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