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

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AR: Author's response | RR: Referee report | ED: Editor decision
AR by Edmund Ryan on behalf of the Authors (21 May 2018)  Author's response    Manuscript
ED: Publish subject to minor revisions (review by editor) (25 May 2018) by Andrea Stenke
AR by Edmund Ryan on behalf of the Authors (30 May 2018)  Author's response    Manuscript
ED: Publish as is (06 Jun 2018) by Andrea Stenke
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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.