Articles | Volume 17, issue 22
https://doi.org/10.5194/gmd-17-8373-2024
https://doi.org/10.5194/gmd-17-8373-2024
Methods for assessment of models
 | 
26 Nov 2024
Methods for assessment of models |  | 26 Nov 2024

Source-specific bias correction of US background and anthropogenic ozone modeled in CMAQ

T. Nash Skipper, Christian Hogrefe, Barron H. Henderson, Rohit Mathur, Kristen M. Foley, and Armistead G. Russell

Viewed

Total article views: 507 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
381 95 31 507 45 26 28
  • HTML: 381
  • PDF: 95
  • XML: 31
  • Total: 507
  • Supplement: 45
  • BibTeX: 26
  • EndNote: 28
Views and downloads (calculated since 25 Mar 2024)
Cumulative views and downloads (calculated since 25 Mar 2024)

Viewed (geographical distribution)

Total article views: 507 (including HTML, PDF, and XML) Thereof 493 with geography defined and 14 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 26 Nov 2024
Download
Short summary
Chemical transport model simulations are combined with ozone observations to estimate the bias in ozone attributable to US anthropogenic sources and individual sources of US background ozone: natural sources, non-US anthropogenic sources, and stratospheric ozone. Results indicate a positive bias correlated with US anthropogenic emissions during summer in the eastern US and a negative bias correlated with stratospheric ozone during spring.