Optimization of model parameters and experimental designs with the Optimal Experimental Design Toolbox (v1.0) exemplified by sedimentation in salt marshes

Reimer, J.; Schuerch, M.; Slawig, T.

doi:https://doi.org/10.5194/gmd-8-791-2015

Articles | Volume 8, issue 3

https://doi.org/10.5194/gmd-8-791-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/gmd-8-791-2015

© Author(s) 2015. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 8, issue 3

Model experiment description paper

|

25 Mar 2015

Model experiment description paper |

| 25 Mar 2015

Optimization of model parameters and experimental designs with the Optimal Experimental Design Toolbox (v1.0) exemplified by sedimentation in salt marshes

J. Reimer, M. Schuerch, and T. Slawig

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Final revised paper (published on 25 Mar 2015)
Preprint (discussion started on 26 Sep 2014)

Interactive discussion

Status: closed

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

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RC C2074: 'Referee's comments', Anonymous Referee #1, 22 Oct 2014
AC C2360: 'Response to minor comments of referee #1', Joscha Reimer, 21 Nov 2014
RC C2806: 'Review of Optimization of experimental designs and model parameters exemplified by sedimentation in salt marshes', Anonymous Referee #2, 30 Dec 2014

Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision

AR by Joscha Reimer on behalf of the Authors (23 Jan 2015) Author's response Manuscript

ED: Referee Nomination & Report Request started (30 Jan 2015) by Jeffrey Neal

RR by Anonymous Referee #2 (09 Mar 2015)

ED: Publish subject to technical corrections (09 Mar 2015) by Jeffrey Neal

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Short summary

Model parameters are usually optimized based on measurements. These measurements are often time-consuming or costly. The conditions under which theses measurements are carried out, also called experimental designs, can be optimized so that with minimum effort and cost a maximum accuracy can be achieved. For this, we present different approaches together with their implementation in an MATLAB toolbox. We demonstrate their application to different models for sedimentation in salt marshes.