Effect of unrepresented model errors on estimated soil hydraulic material properties

Jaumann, Stefan; Roth, Kurt

doi:https://doi.org/10.5194/hess-21-4301-2017

Articles | Volume 21, issue 9

https://doi.org/10.5194/hess-21-4301-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-21-4301-2017

© Author(s) 2017. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 21, issue 9

Research article

|

01 Sep 2017

Research article |

| 01 Sep 2017

Effect of unrepresented model errors on estimated soil hydraulic material properties

Stefan Jaumann and Kurt Roth

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Final revised paper (published on 01 Sep 2017)
Preprint (discussion started on 02 Mar 2017)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'REVIEW OF „UNREPRESENTED MODEL ERROS – EFFECT ON ESTIMATED SOIL HYDRAULIC MATERIAL PROPERTIES“ BY JAUMANN AND ROTH.', Anonymous Referee #1, 30 Mar 2017
- AC2: 'Reply', Stefan Jaumann, 08 Jun 2017
SC1: 'Comment on „Unrepresented model errors - effect on estimated soil hydraulic material properties” by Stefan Jaumann and Kurt Roth', Conrad Jackisch, 09 Apr 2017
- AC3: 'Reply', Stefan Jaumann, 08 Jun 2017
RC2: 'Revision is required', Anonymous Referee #2, 14 Apr 2017
- AC4: 'Reply', Stefan Jaumann, 08 Jun 2017
AC1: 'Revised Manuscript', Stefan Jaumann, 08 Jun 2017

Peer-review completion

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

ED: Reconsider after major revisions (further review by Editor and Referees) (21 Jun 2017) by Roberto Greco

AR by Stefan Jaumann on behalf of the Authors (27 Jun 2017) Author's response Manuscript

ED: Referee Nomination & Report Request started (28 Jun 2017) by Roberto Greco

RR by Anonymous Referee #1 (18 Jul 2017)

Suggestions for revision or reasons for rejection

HYDROLOGY AND EARTH SYSTEM SCIENCES REVIEW OF „UNREPRESENTED MODEL ERROS – EFFECT ON ESTIMATED SOIL HYDRAULIC MATERIAL PROPERTIES“ BY JAUMANN AND ROTH.

I acted as reviewer 1 in the first round of reviews. I was supportive of the general direction proposed by this manuscript, but I had a range of suggestions to further improve the manuscript. I have now evaluated the reponse of the authors to the reviewer comments and the revised version of the manuscript. I found that my comments have been well addressed. In particular, I appreciated the revised introduction and the use of an appendix to provide some of the methodological details. Overall, I can now recommend this manuscript for publication if the minor editorial suggestions below have been considered.

SPECIFIC COMMENTS

Page 1, line 4. Should read “… material properties…”.

Page 1, Line 12. This looks a bit awkward without a unit. I propose 0.004 m3m-3 or mentioning volumetric water content.

Page 2, Line 21-22. Awkward sentence. Perhaps: Hence, the crux is to find a model with sufficient complexity to describe the data with the required accuracy.

Page 3, Line 1. Should read: “…on the inversely estimated material properties.”.

Page 3, Line 15. Should read: “In addition to …”.

Page 4, Line 2. Should read: “… we follow Bauser et al. …”. Also avoid paragraphs of one sentence. The next sentence can be part of this paragraph.

Page 6, Line 15. Perhaps: “… the experiment exhibits complicated…”.

Page 8, Line 4. Perhaps: The structural error analysis aims for an assessment of selected representation errors. In particular, representation error are parameterized and included in the parameter estimation process.

Page 11, Line 7. I suggest: “ In addition to visual analysis…, statistical measures help to quantify …”.

Page 17, Line 7: I suggest: “…obtained with Latin Hypercube sampling.”.

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ED: Publish subject to technical corrections (21 Jul 2017) by Roberto Greco

Short summary

We investigate the quantitative effect of neglected sensor position, small-scale heterogeneity, and lateral flow on soil hydraulic material properties. Thus, we analyze a fluctuating water table experiment in a 2-D architecture (ASSESS) with increasingly complex studies based on time domain reflectometry and hydraulic potential data. We found that 1-D studies may yield biased parameters and that estimating sensor positions as well as small-scale heterogeneity improves the model significantly.