Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 11, issue 4
Articles | Volume 11, issue 4
https://doi.org/10.5194/gmd-11-1653-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-11-1653-2018
© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 11, issue 4
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: 4,082 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,677 1,249 156 4,082 440 158 230
  • HTML: 2,677
  • PDF: 1,249
  • XML: 156
  • Total: 4,082
  • Supplement: 440
  • BibTeX: 158
  • EndNote: 230
Views and downloads (calculated since 12 Jan 2018)
Cumulative views and downloads (calculated since 12 Jan 2018)

Viewed (geographical distribution)

Total article views: 4,082 (including HTML, PDF, and XML) Thereof 3,852 with geography defined and 230 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 22 Nov 2025
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.
Read more
Share