Modelling biomass burning emissions and the effect of spatial resolution: a case study for Africa based on the Global Fire Emissions Database (GFED)

van Wees, Dave; van der Werf, Guido R.

doi:https://doi.org/10.5194/gmd-12-4681-2019

Articles | Volume 12, issue 11

https://doi.org/10.5194/gmd-12-4681-2019

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

https://doi.org/10.5194/gmd-12-4681-2019

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

Articles | Volume 12, issue 11

Development and technical paper

|

08 Nov 2019

Development and technical paper |

| 08 Nov 2019

Modelling biomass burning emissions and the effect of spatial resolution: a case study for Africa based on the Global Fire Emissions Database (GFED)

Dave van Wees and Guido R. van der Werf

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Final revised paper (published on 08 Nov 2019)
Supplement to the final revised paper
Preprint (discussion started on 02 May 2019)

Interactive discussion

Status: closed

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

- Printer-friendly version

- Supplement

SC1: 'Executive Editor Comment on gmd-2019-116', Astrid Kerkweg, 17 May 2019
RC1: 'referee comments', João Silva, 06 Aug 2019
RC2: 'Review of GMD-2019-116 - Modelling African biomass burning emissions and the effect of spatial resolution', Anonymous Referee #2, 28 Aug 2019
AC1: 'Response to reviewers', Dave van Wees, 11 Sep 2019

Peer-review completion

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

AR by Dave van Wees on behalf of the Authors (11 Sep 2019) Author's response Manuscript

ED: Publish as is (24 Sep 2019) by Jason Williams

AR by Dave van Wees on behalf of the Authors (03 Oct 2019)

Short summary

For this paper, a novel high spatial-resolution fire emission model based on the Global Fire Emissions Database (GFED) modelling framework was developed and compared to a coarser-resolution version of the same model. Our findings highlight the importance of fine spatial resolution when modelling global-scale fire emissions, especially considering the comparison of model pixels to individual field measurements and the model representation of heterogeneity in the landscape.