LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation

Schaphoff, Sibyll; Forkel, Matthias; Müller, Christoph; Knauer, Jürgen; von Bloh, Werner; Gerten, Dieter; Jägermeyr, Jonas; Lucht, Wolfgang; Rammig, Anja; Thonicke, Kirsten; Waha, Katharina

doi:https://doi.org/10.5194/gmd-11-1377-2018

Articles | Volume 11, issue 4

https://doi.org/10.5194/gmd-11-1377-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

The Lund–Potsdam–Jena managed Land (LPJmL) dynamic...

https://doi.org/10.5194/gmd-11-1377-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 4

Model evaluation paper

|

12 Apr 2018

Model evaluation paper |

| 12 Apr 2018

LPJmL4 – a dynamic global vegetation model with managed land – Part 2: Model evaluation

Sibyll Schaphoff, Matthias Forkel, Christoph Müller, Jürgen Knauer, Werner von Bloh, Dieter Gerten, Jonas Jägermeyr, Wolfgang Lucht, Anja Rammig, Kirsten Thonicke, and Katharina Waha

Supplement

https://doi.org/10.5194/gmd-11-1377-2018-supplement

Data sets

LPJmL4 model output for the publications in GMD: LPJmL4 - a dynamic global vegetation model with managed land: Part II – Model evaluation S. Schaphoff, W. von Bloh, A. Rammig, K. Thonicke, H. Biemans, M. Forkel, D. Gerten, J. Heinke, J. Jägermeyr, J. Knauer, F. Langerwisch, W. Lucht, C. Müller, S. Rolinski, and K. Waha https://doi.org/10.5880/pik.2017.009

Model code and software

LPJmL4 Model Code S. Schaphoff, W. von Bloh, K. Thonicke, H. Biemans, M. Forkel, D. Gerten, J. Heinke, J. Jägermeyr, C. Müller, S. Rolinski, K. Waha, E. Stehfest, L. de Waal, U. Heyder, M. Gumpenberger, and T. Beringer https://doi.org/10.5880/pik.2018.002

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 of satellite observations, 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.