EnKF with closed-eye period &ndash; towards a consistent aggregation of information in soil hydrology

Bauser, Hannes H.; Jaumann, Stefan; Berg, Daniel; Roth, Kurt

doi:https://doi.org/10.5194/hess-20-4999-2016

Articles | Volume 20, issue 12

https://doi.org/10.5194/hess-20-4999-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

https://doi.org/10.5194/hess-20-4999-2016

© Author(s) 2016. This work is distributed under
the Creative Commons Attribution 3.0 License.

Articles | Volume 20, issue 12

Research article

|

19 Dec 2016

Research article |

| 19 Dec 2016

EnKF with closed-eye period – towards a consistent aggregation of information in soil hydrology

Hannes H. Bauser, Stefan Jaumann, Daniel Berg, and Kurt Roth

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Final revised paper (published on 19 Dec 2016)
Preprint (discussion started on 20 Jun 2016)

Interactive discussion

Status: closed

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

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- Supplement

RC1: 'Review', Anonymous Referee #1, 11 Jul 2016
- AC1: 'Answer to Review by Anonymous Referee #1', Hannes Bauser, 13 Sep 2016
RC2: 'Review on manuscript hess-2016-296', Anonymous Referee #2, 15 Aug 2016
- AC2: 'Answer to Review by Anonymous Referee #2', Hannes Bauser, 13 Sep 2016

Peer-review completion

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

ED: Reconsider after major revisions (24 Sep 2016) by Insa Neuweiler

AR by Hannes H. Bauser on behalf of the Authors (27 Sep 2016) Manuscript

ED: Referee Nomination & Report Request started (28 Sep 2016) by Insa Neuweiler

RR by Anonymous Referee #1 (25 Oct 2016)

RR by Anonymous Referee #2 (07 Nov 2016)

ED: Publish as is (07 Nov 2016) by Insa Neuweiler

AR by Hannes H. Bauser on behalf of the Authors (17 Nov 2016) Manuscript

Short summary

The representation of soil water movement comes with uncertainties in all model components. We assess the key uncertainties for the case of a one-dimensional soil proﬁle with measured water contents. We employ a data assimilation method to represent and reduce the key uncertainties. For intermittent phases where model assumptions are violated, we introduce a "closed-eye period" to bridge the gap. We also demonstrate the need to include heterogeneity.