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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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GMD | Articles | Volume 12, issue 12
Geosci. Model Dev., 12, 5029–5054, 2019
https://doi.org/10.5194/gmd-12-5029-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

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

Geosci. Model Dev., 12, 5029–5054, 2019
https://doi.org/10.5194/gmd-12-5029-2019
© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Development and technical paper 03 Dec 2019

Development and technical paper | 03 Dec 2019

Improving the LPJmL4-SPITFIRE vegetation–fire model for South America using satellite data

Markus Drüke et al.

Model code and software

LPJmL4 Model Code, V 4.0.003 Drüke, M., Forkel, M., von Bloh, W., Sakschewski, B., Cardoso, M., Bustamante, M., Kurths, J., and Thonicke, K. https://doi.org/10.5281/zenodo.3497213

LPJmLmdi Model Code, V 1.31 Forkel, M. and Drüke, M. https://doi.org/10.5281/zenodo.3497201

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Short summary
This work shows the successful application of a systematic model–data integration setup, as well as the implementation of a new fire danger formulation, in order to optimize a process-based fire-enabled dynamic global vegetation model. We have demonstrated a major improvement in the fire representation within LPJmL4-SPITFIRE in terms of the spatial pattern and the interannual variability of burned area in South America as well as in the modelling of biomass and the distribution of plant types.
This work shows the successful application of a systematic model–data integration setup, as...
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