Inflation method for ensemble Kalman filter in soil hydrology

Bauser, Hannes H.; Berg, Daniel; Klein, Ole; Roth, Kurt

doi:https://doi.org/10.5194/hess-22-4921-2018

Articles | Volume 22, issue 9

https://doi.org/10.5194/hess-22-4921-2018

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

https://doi.org/10.5194/hess-22-4921-2018

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

Articles | Volume 22, issue 9

Research article

|

21 Sep 2018

Research article |

| 21 Sep 2018

Inflation method for ensemble Kalman filter in soil hydrology

Hannes H. Bauser, Daniel Berg, Ole Klein, and Kurt Roth

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Final revised paper (published on 21 Sep 2018)
Preprint (discussion started on 05 Mar 2018)

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, 29 Mar 2018
- AC1: 'Answer to Review by Referee #1', Hannes H. Bauser, 26 Apr 2018
RC2: 'Review of "Inflation Method for Ensemble Kalman Filter in Soil Hydrology", by Hannes H. Bauser et al.', Anonymous Referee #2, 08 Apr 2018
- AC2: 'Answer to Review by Referee #2', Hannes H. Bauser, 26 Apr 2018

Peer-review completion

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

ED: Publish subject to revisions (further review by editor and referees) (11 May 2018) by Insa Neuweiler

AR by Hannes H. Bauser on behalf of the Authors (13 May 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (20 May 2018) by Insa Neuweiler

RR by Anonymous Referee #1 (06 Jun 2018)

RR by Anonymous Referee #2 (19 Jun 2018)

ED: Publish subject to revisions (further review by editor and referees) (10 Jul 2018) by Insa Neuweiler

AR by Hannes H. Bauser on behalf of the Authors (26 Jul 2018) Author's response Manuscript

ED: Referee Nomination & Report Request started (13 Aug 2018) by Insa Neuweiler

RR by Anonymous Referee #2 (14 Aug 2018)

ED: Publish subject to technical corrections (15 Aug 2018) by Insa Neuweiler

AR by Hannes H. Bauser on behalf of the Authors (06 Sep 2018) Manuscript

Short summary

Data assimilation methods like the ensemble Kalman filter (EnKF) can combine models and measurements to estimate states and parameters, but require a proper representation of uncertainties. In soil hydrology, model errors typically vary rapidly in space and time, which is difficult to represent. Inflation methods can account for unrepresented model errors. To improve estimations in soil hydrology, we designed a method that can adjust the inflation of states and parameters to fast varying errors.