The FireWork v2.0 air quality forecast system with biomass burning emissions from the Canadian Forest Fire Emissions Prediction System v2.03

Chen, Jack; Anderson, Kerry; Pavlovic, Radenko; Moran, Michael D.; Englefield, Peter; Thompson, Dan K.; Munoz-Alpizar, Rodrigo; Landry, Hugo

doi:https://doi.org/10.5194/gmd-12-3283-2019

Articles | Volume 12, issue 7

https://doi.org/10.5194/gmd-12-3283-2019

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

https://doi.org/10.5194/gmd-12-3283-2019

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

Articles | Volume 12, issue 7

Model description paper

|

26 Jul 2019

Model description paper |

| 26 Jul 2019

The FireWork v2.0 air quality forecast system with biomass burning emissions from the Canadian Forest Fire Emissions Prediction System v2.03

Jack Chen, Kerry Anderson, Radenko Pavlovic, Michael D. Moran, Peter Englefield, Dan K. Thompson, Rodrigo Munoz-Alpizar, and Hugo Landry

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Final revised paper (published on 26 Jul 2019)
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Preprint (discussion started on 25 Mar 2019)
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Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Initial review', Anonymous Referee #1, 16 Apr 2019
- AC1: 'Response to RC1', Jack Chen, 17 Jun 2019
RC2: 'Comments', Anonymous Referee #2, 12 May 2019
- AC2: 'Response to RC2', Jack Chen, 17 Jun 2019

Peer-review completion

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

AR by Jack Chen on behalf of the Authors (17 Jun 2019)

ED: Publish as is (27 Jun 2019) by Samuel Remy

AR by Jack Chen on behalf of the Authors (03 Jul 2019) Manuscript

Short summary

Emissions from wildland fires can cause significant impacts on regional air quality. We introduce the Canadian Forest Fire Emissions Prediction System and demonstrate its integration with Canada's FireWork operational air quality forecast system with biomass burning emissions. The coupled system shows improved skill in providing short-term, 48 h forecasts of surface air pollutant concentrations (PM_2.5, O₃, and NO₂) from the impacts of regional wildland fires across the North American domain.