INFERNO: a fire and emissions scheme for the UK Met Office's Unified Model

Mangeon, Stéphane; Voulgarakis, Apostolos; Gilham, Richard; Harper, Anna; Sitch, Stephen; Folberth, Gerd

doi:https://doi.org/10.5194/gmd-9-2685-2016

Articles | Volume 9, issue 8

https://doi.org/10.5194/gmd-9-2685-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-9-2685-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 9, issue 8

Model description paper

|

16 Aug 2016

Model description paper |

| 16 Aug 2016

INFERNO: a fire and emissions scheme for the UK Met Office's Unified Model

Stéphane Mangeon, Apostolos Voulgarakis, Richard Gilham, Anna Harper, Stephen Sitch, and Gerd Folberth

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Final revised paper (published on 16 Aug 2016)
Preprint (discussion started on 29 Feb 2016)

Interactive discussion

Status: closed

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

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RC1: 'review', Anonymous Referee #1, 23 Mar 2016
RC2: 'Review of INFERNO: A fire and emissions scheme for the Met Office’s Unified Model', Anonymous Referee #2, 08 May 2016
AC1: 'Response to Reviewers' comments', Stephane Mangeon, 26 Jun 2016

Peer-review completion

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

AR by Stephane Mangeon on behalf of the Authors (13 Jul 2016) Author's response Manuscript

ED: Publish as is (15 Jul 2016) by Jason Williams

AR by Stephane Mangeon on behalf of the Authors (22 Jul 2016)

Short summary

To understand the role of fires in the Earth system, global fire models are required. In this paper we describe the INteractive Fire and Emission algoRithm for Natural envirOnments (INFERNO). It follows a reduced complexity approach using mainly temperature, humidity and precipitation. INFERNO was found to perform well on a global scale and to maintain regional patterns over the 1997–2011 period of study, despite regional biases particularly linked to fuel consumption.