Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 5
Articles | Volume 13, issue 5
https://doi.org/10.5194/gmd-13-2169-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-2169-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 5
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: 6,239 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
5,274 864 101 6,239 137 144
  • HTML: 5,274
  • PDF: 864
  • XML: 101
  • Total: 6,239
  • BibTeX: 137
  • EndNote: 144
Views and downloads (calculated since 14 Dec 2018)
Cumulative views and downloads (calculated since 14 Dec 2018)

Viewed (geographical distribution)

Total article views: 6,239 (including HTML, PDF, and XML) Thereof 5,611 with geography defined and 628 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 29 Oct 2025
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.
Read more
Share