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

Drüke, Markus; Forkel, Matthias; von Bloh, Werner; Sakschewski, Boris; Cardoso, Manoel; Bustamante, Mercedes; Kurths, Jürgen; Thonicke, Kirsten

doi:https://doi.org/10.5194/gmd-12-5029-2019

Articles | Volume 12, issue 12

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...

https://doi.org/10.5194/gmd-12-5029-2019

© Author(s) 2019. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 12, issue 12

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

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Final revised paper (published on 03 Dec 2019)
Preprint (discussion started on 02 May 2019)

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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RC1: 'Referee comment', Anonymous Referee #1, 27 May 2019
- AC1: 'Answer to RC1', Markus Drüke, 09 Aug 2019
RC2: 'Review #2 of 2019-92', Anonymous Referee #2, 14 Jun 2019
- AC2: 'Answer to RC2', Markus Drüke, 09 Aug 2019

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Markus Drüke on behalf of the Authors (09 Aug 2019) Author's response Manuscript

ED: Publish as is (02 Sep 2019) by Richard Neale

AR by Markus Drüke on behalf of the Authors (17 Oct 2019) Manuscript

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.