New fire diurnal cycle characterizations to improve fire radiative energy assessments made from MODIS observations

Andela, N.; Kaiser, J. W.; van der Werf, G. R.; Wooster, M. J.

doi:https://doi.org/10.5194/acp-15-8831-2015

Articles | Volume 15, issue 15

https://doi.org/10.5194/acp-15-8831-2015

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

Special issue:

Monitoring atmospheric composition and climate, research in...

https://doi.org/10.5194/acp-15-8831-2015

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

Articles | Volume 15, issue 15

Research article

|

12 Aug 2015

Research article |

| 12 Aug 2015

New fire diurnal cycle characterizations to improve fire radiative energy assessments made from MODIS observations

N. Andela, J. W. Kaiser, G. R. van der Werf, and M. J. Wooster

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Final revised paper (published on 12 Aug 2015)
Preprint (discussion started on 31 Mar 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C1653: 'Review of 'New fire diurnal cycle characterisation to improve Fire Radiative Energy assessments made from low Earth orbit satellite sampling'', Anonymous Referee #2, 17 Apr 2015
- AC C5035: 'Authors response to referee #2', N. Andela, 17 Jul 2015
RC C1902: 'Review', Anonymous Referee #1, 26 Apr 2015
- AC C5034: 'Authors response to referee #1', N. Andela, 17 Jul 2015
AC C5036: 'revised manuscript', N. Andela, 17 Jul 2015

Peer-review completion

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

AR by Anna Wenzel on behalf of the Authors (21 Jul 2015) Author's response

ED: Publish as is (22 Jul 2015) by Richard Engelen

Short summary

The polar orbiting MODIS instruments provide four daily observations of the fire diurnal cycle, resulting in erroneous fire radiative energy (FRE) estimates. Using geostationary SEVIRI data, we explore the fire diurnal cycle and its drivers for Africa to develop a new method to estimate global FRE in near real-time using MODIS. The fire diurnal cycle varied with climate and vegetation type, and including information on the fire diurnal cycle in the model significantly improved the FRE estimates.