Articles | Volume 19, issue 5
https://doi.org/10.5194/acp-19-2881-2019
https://doi.org/10.5194/acp-19-2881-2019
Research article
 | 
07 Mar 2019
Research article |  | 07 Mar 2019

Advanced methods for uncertainty assessment and global sensitivity analysis of an Eulerian atmospheric chemistry transport model

Ksenia Aleksankina, Stefan Reis, Massimo Vieno, and Mathew R. Heal

Viewed

Total article views: 4,566 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,143 1,278 145 4,566 468 134 183
  • HTML: 3,143
  • PDF: 1,278
  • XML: 145
  • Total: 4,566
  • Supplement: 468
  • BibTeX: 134
  • EndNote: 183
Views and downloads (calculated since 26 Jul 2018)
Cumulative views and downloads (calculated since 26 Jul 2018)

Viewed (geographical distribution)

Total article views: 4,566 (including HTML, PDF, and XML) Thereof 4,543 with geography defined and 23 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Mar 2026
Download
Short summary
Atmospheric chemistry transport models are widely used to underpin policies to mitigate the detrimental effects of air pollution on human health and ecosystems. Understanding the level of confidence in model predictions is thus vital. We present a comprehensive approach for uncertainty assessment and global variance-based sensitivity analysis to propagate uncertainty from model input data and identify the extent to which uncertainty in different emissions drives the model output uncertainty.
Share
Altmetrics
Final-revised paper
Preprint