Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the Arctic

Kantzas, E. P.; Quegan, S.; Lomas, M.

doi:https://doi.org/10.5194/gmd-8-2597-2015

Articles | Volume 8, issue 8

https://doi.org/10.5194/gmd-8-2597-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-8-2597-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 8

Development and technical paper

|

21 Aug 2015

Development and technical paper |

| 21 Aug 2015

Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data: a case study over the Arctic

E. P. Kantzas, S. Quegan, and M. Lomas

Download

Final revised paper (published on 21 Aug 2015)
Preprint (discussion started on 16 Mar 2015)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

RC C432: 'comments on manuscript #gmdd-8-2875-2015', Anonymous Referee #1, 12 Apr 2015
RC C435: 'Review: Improving the representation of fire disturbance in dynamic vegetation models by assimilating satellite data', Anonymous Referee #2, 13 Apr 2015
AC C1007: 'Response to Reviewers', Euripides Kantzas, 08 Jun 2015

Peer-review completion

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

AR by Euripides Kantzas on behalf of the Authors (08 Jun 2015) Author's response Manuscript

ED: Referee Nomination & Report Request started (15 Jun 2015) by Tomomichi Kato

RR by Anonymous Referee #1 (02 Jul 2015)

RR by Anonymous Referee #2 (16 Jul 2015)

ED: Publish subject to minor revisions (Editor review) (24 Jul 2015) by Tomomichi Kato

AR by Euripides Kantzas on behalf of the Authors (28 Jul 2015) Author's response Manuscript

ED: Publish as is (11 Aug 2015) by Tomomichi Kato

AR by Euripides Kantzas on behalf of the Authors (12 Aug 2015)

Short summary

Despite its importance, land surface models poorly simulate fire disturbance and its dynamic effects. Here we present a novel and model-independent methodology of implementing a realistic fire size distribution in a dynamic vegetation model by assimilating satellite data and employing blob detection. While focusing on the Arctic, we verify our results against field data and showcase the improved fire representation in the model.