Articles | Volume 11, issue 8
https://doi.org/10.5194/gmd-11-3131-2018
https://doi.org/10.5194/gmd-11-3131-2018
Methods for assessment of models
 | 
03 Aug 2018
Methods for assessment of models |  | 03 Aug 2018

Fast sensitivity analysis methods for computationally expensive models with multi-dimensional output

Edmund Ryan, Oliver Wild, Apostolos Voulgarakis, and Lindsay Lee

Viewed

Total article views: 6,054 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
3,947 1,964 143 6,054 623 173 228
  • HTML: 3,947
  • PDF: 1,964
  • XML: 143
  • Total: 6,054
  • Supplement: 623
  • BibTeX: 173
  • EndNote: 228
Views and downloads (calculated since 13 Nov 2017)
Cumulative views and downloads (calculated since 13 Nov 2017)

Viewed (geographical distribution)

Total article views: 6,054 (including HTML, PDF, and XML) Thereof 5,746 with geography defined and 308 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 18 Jan 2026
Download
Short summary
Global sensitivity analysis (GSA) identifies which parameters of a model most affect its output. We performed GSA using statistical emulators as surrogates of two slow-running atmospheric chemistry transport models. Due to the high dimension of the model outputs, we considered two alternative methods: one that reduced the output dimension and one that did not require an emulator. The alternative methods accurately performed the GSA but were significantly faster than the emulator-only method.
Share