Articles | Volume 12, issue 12
https://doi.org/10.5194/gmd-12-5029-2019
https://doi.org/10.5194/gmd-12-5029-2019
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, Matthias Forkel, Werner von Bloh, Boris Sakschewski, Manoel Cardoso, Mercedes Bustamante, Jürgen Kurths, and Kirsten Thonicke

Viewed

Total article views: 4,117 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,793 1,250 74 4,117 106 99
  • HTML: 2,793
  • PDF: 1,250
  • XML: 74
  • Total: 4,117
  • BibTeX: 106
  • EndNote: 99
Views and downloads (calculated since 02 May 2019)
Cumulative views and downloads (calculated since 02 May 2019)

Viewed (geographical distribution)

Total article views: 4,117 (including HTML, PDF, and XML) Thereof 3,708 with geography defined and 409 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
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.