Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1653-2018
https://doi.org/10.5194/gmd-11-1653-2018
Methods for assessment of models
 | 
27 Apr 2018
Methods for assessment of models |  | 27 Apr 2018

Global sensitivity and uncertainty analysis of an atmospheric chemistry transport model: the FRAME model (version 9.15.0) as a case study

Ksenia Aleksankina, Mathew R. Heal, Anthony J. Dore, Marcel Van Oijen, and Stefan Reis

Viewed

Total article views: 3,589 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,382 1,076 131 3,589 360 109 136
  • HTML: 2,382
  • PDF: 1,076
  • XML: 131
  • Total: 3,589
  • Supplement: 360
  • BibTeX: 109
  • EndNote: 136
Views and downloads (calculated since 12 Jan 2018)
Cumulative views and downloads (calculated since 12 Jan 2018)

Viewed (geographical distribution)

Total article views: 3,589 (including HTML, PDF, and XML) Thereof 3,361 with geography defined and 228 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 20 Nov 2024
Download
Short summary
Atmospheric chemistry transport models are widely used to underpin policy decisions. We present a global sensitivity and uncertainty analysis approach to understand how uncertainty in input emissions of SO2, NOx, and NH3 drives uncertainties in model outputs, using the FRAME model as an example. We interpret results for input emissions uncertainty ranges reported by the national emissions inventory. Variance-based measures of sensitivity were used to apportion model output uncertainty.