Articles | Volume 13, issue 5
https://doi.org/10.5194/gmd-13-2169-2020
https://doi.org/10.5194/gmd-13-2169-2020
Model evaluation paper
 | 
07 May 2020
Model evaluation paper |  | 07 May 2020

Evaluating a fire smoke simulation algorithm in the National Air Quality Forecast Capability (NAQFC) by using multiple observation data sets during the Southeast Nexus (SENEX) field campaign

Li Pan, HyunCheol Kim, Pius Lee, Rick Saylor, YouHua Tang, Daniel Tong, Barry Baker, Shobha Kondragunta, Chuanyu Xu, Mark G. Ruminski, Weiwei Chen, Jeff Mcqueen, and Ivanka Stajner

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Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
AR by L. Pan on behalf of the Authors (31 Aug 2019)  Manuscript 
ED: Publish subject to minor revisions (review by editor) (04 Mar 2020) by Fiona O'Connor
AR by L. Pan on behalf of the Authors (05 Mar 2020)  Author's response   Manuscript 
ED: Publish as is (27 Mar 2020) by Fiona O'Connor
AR by L. Pan on behalf of the Authors (30 Mar 2020)  Author's response   Manuscript 
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Short summary
Compared to anthropogenic emissions, emissions from wildfires are largely uncontrolled and unpredictable. Quantitatively describing wildfire emissions and their contributions to air pollution remains a substantial challenge for air quality forecasting efforts. In this study, we test the wildfire calculation algorithm used by the National Air Quality Forecasting Capability (NAQFC) by comparison with ground, satellite and flight measurements during the Southeast Nexus (SENEX) field experiment.