Articles | Volume 19, issue 23
https://doi.org/10.5194/acp-19-15157-2019
https://doi.org/10.5194/acp-19-15157-2019
Research article
 | 
13 Dec 2019
Research article |  | 13 Dec 2019

Evaluating wildfire emissions projection methods in comparisons of simulated and observed air quality

Uma Shankar, Donald McKenzie, Jeffrey P. Prestemon, Bok Haeng Baek, Mohammed Omary, Dongmei Yang, Aijun Xiu, Kevin Talgo, and William Vizuete

Viewed

Total article views: 2,177 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,523 591 63 2,177 291 76 60
  • HTML: 1,523
  • PDF: 591
  • XML: 63
  • Total: 2,177
  • Supplement: 291
  • BibTeX: 76
  • EndNote: 60
Views and downloads (calculated since 29 Jan 2019)
Cumulative views and downloads (calculated since 29 Jan 2019)

Viewed (geographical distribution)

Total article views: 2,177 (including HTML, PDF, and XML) Thereof 1,958 with geography defined and 219 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 22 Feb 2025
Download
Short summary
We evaluate two wildfire emissions estimates for the southeastern US, based on projected annual areas burned in 2011–2060, against a benchmark wildfire inventory in air quality (AQ) simulations for 2010 and AQ network observations. Our emissions estimates compare well with the benchmark but all three simulations have large biases compared to observations. We find our methods suitable to assess current and future wildfire AQ impacts but also identify areas for AQ model improvements.
Share
Altmetrics
Final-revised paper
Preprint