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

Viewed

Total article views: 4,915 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
4,179 673 63 4,915 78 58
  • HTML: 4,179
  • PDF: 673
  • XML: 63
  • Total: 4,915
  • BibTeX: 78
  • EndNote: 58
Views and downloads (calculated since 14 Dec 2018)
Cumulative views and downloads (calculated since 14 Dec 2018)

Viewed (geographical distribution)

Total article views: 4,915 (including HTML, PDF, and XML) Thereof 4,281 with geography defined and 634 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 18 Apr 2024
Download
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.