Journal cover Journal topic
Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
https://doi.org/10.5194/gmd-2017-146
© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 4.0 License.
Model evaluation paper
27 Jul 2017
Review status
This discussion paper is a preprint. It is a manuscript under review for the journal Geoscientific Model Development (GMD).
LPJmL4 – a dynamic global vegetation model with managed land: Part II – Model evaluation
Sibyll Schaphoff1, Matthias Forkel2, Christoph Müller1, Jürgen Knauer3, Werner von Bloh1, Dieter Gerten1,4, Jonas Jägermeyr1, Wolfgang Lucht1,4, Anja Rammig5, Kirsten Thonicke1, and Katharina Waha1,6 1Potsdam Institute for Climate Impact Research, Telegraphenberg, PO Box 60 12 03, 14412 Potsdam, Germany
2TU Wien, Climate and Environmental Remote Sensing Group, Department of Geodesy and Geoinformation, Gusshausstraße 25-29, 1040 Wien, Austria
3Max Planck Institute for Biogeochemistry, Hans-Knöll-Str. 10, 07745 Jena, Germany
4Humboldt Universität zu Berlin, Department of Geography, Unter den Linden 6, 10099 Berlin, Germany
5Technical University of Munich, Germany
6CSIRO Agriculture & Food, 306 Carmody Rd, St Lucia QLD 4067, Australia
Abstract. The dynamic global vegetation model 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. Different versions of the model have been developed and applied to evaluate the role of natural and managed ecosystems in the Earth system and potential impacts of global environmental change. A comprehensive model description of the new model version, LPJmL4, is provided in a companion paper (Schaphoff et al., submitted). Here, we provide a full picture of the model performance, going beyond standard benchmark procedures, give hints of the strengths and shortcomings of the model to identify the need of further model improvement. Specifically, we evaluate LPJmL4 against various datasets from in-situ measurement sites, satellite observations, and agricultural yield statistics. We apply a range of metrics to evaluate the quality of the model to simulate stocks and flows of carbon and water in natural and managed ecosystems at different temporal and spatial scales. We show that an advanced phenology scheme improves the simulation of seasonal fluctuations in the atmospheric CO2 concentration while the permafrost scheme improves estimates of carbon stocks. The full LPJmL4 code including the new developments will be supplied Open Source through a Gitlab repository. We hope that this will lead to new model developments and applications that improve model performance and possibly build up a new understanding of the terrestrial biosphere.

Citation: Schaphoff, S., Forkel, M., Müller, C., Knauer, J., von Bloh, W., Gerten, D., Jägermeyr, J., Lucht, W., Rammig, A., Thonicke, K., and Waha, K.: LPJmL4 – a dynamic global vegetation model with managed land: Part II – Model evaluation, Geosci. Model Dev. Discuss., https://doi.org/10.5194/gmd-2017-146, in review, 2017.
Sibyll Schaphoff et al.
Sibyll Schaphoff et al.
Sibyll Schaphoff et al.

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Short summary
Here we provide a comprehensive evaluation of the now launched version 4.0 of the LPJmL biosphere, water and agricultural model. The article is the second part to a comprehensive description of the LPJmL4 model. We have evaluated the model against various datasets satellite observation, agricultural statistics and in-situ measurements by applying a range of metrics. We are able to show that the LPJmL4 model simulates many parameters and relations reasonably.
Here we provide a comprehensive evaluation of the now launched version 4.0 of the LPJmL...
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