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

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

doi:https://doi.org/10.5194/gmd-11-3131-2018

Articles | Volume 11, issue 8

https://doi.org/10.5194/gmd-11-3131-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

https://doi.org/10.5194/gmd-11-3131-2018

© Author(s) 2018. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 11, issue 8

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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Final revised paper (published on 03 Aug 2018)
Supplement to the final revised paper
Preprint (discussion started on 13 Nov 2017)
Supplement to the preprint

Interactive discussion

Status: closed

AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment

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- Supplement

RC1: 'Review of "Fast sensitivity analysis methods for computationally expensive models with multi-dimensional output"', Anonymous Referee #1, 13 Mar 2018
- AC1: 'Response by author to interactive comment by RC1 on “Fast sensitivity analysis methods for computationally expensive models with multidimensional output” by Edmund Ryan et al.', Edmund Ryan, 04 May 2018
RC2: 'Fast sensitivity analysis methods for computationally expensive models with multi-dimensional output', Anonymous Referee #2, 30 Mar 2018
- AC2: 'Response by author to interactive comment by RC2 on “Fast sensitivity analysis methods for computationally expensive models with multidimensional output” by Edmund Ryan et al.', Edmund Ryan, 05 May 2018
RC3: 'Review of Fast sensitivity analysis methods for computationally expensive models with multi-dimensional output', Anonymous Referee #3, 07 Apr 2018
- AC3: 'Response by author to interactive comment by RC3 on “Fast sensitivity analysis methods for computationally expensive models with multidimensional output” by Edmund Ryan et al.', Edmund Ryan, 05 May 2018

Peer-review completion

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

AR by Edmund Ryan on behalf of the Authors (07 Jun 2018)

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.