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Geoscientific Model Development An interactive open-access journal of the European Geosciences Union
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GMD | Articles | Volume 13, issue 5
Geosci. Model Dev., 13, 2169–2184, 2020
https://doi.org/10.5194/gmd-13-2169-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Geosci. Model Dev., 13, 2169–2184, 2020
https://doi.org/10.5194/gmd-13-2169-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

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 et al.

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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 Anna Mirena Feist-Polner on behalf of the Authors (02 Oct 2019)  Author's response
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
Publications Copernicus
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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.
Compared to anthropogenic emissions, emissions from wildfires are largely uncontrolled and...
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