Operational aspects of asynchronous filtering for flood forecasting

Rakovec, O.; Weerts, A. H.; Sumihar, J.; Uijlenhoet, R.

doi:https://doi.org/10.5194/hess-19-2911-2015

Articles | Volume 19, issue 6

https://doi.org/10.5194/hess-19-2911-2015

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

https://doi.org/10.5194/hess-19-2911-2015

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

Articles | Volume 19, issue 6

Research article

|

23 Jun 2015

Research article |

| 23 Jun 2015

Operational aspects of asynchronous filtering for flood forecasting

O. Rakovec, A. H. Weerts, J. Sumihar, and R. Uijlenhoet

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Final revised paper (published on 23 Jun 2015)
Preprint (discussion started on 20 Mar 2015)

Interactive discussion

Status: closed

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

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- Supplement

RC C1000: 'review comments', Anonymous Referee #1, 13 Apr 2015
- AC C1630: 'Reply to Referee 1', Oldrich Rakovec, 20 May 2015
RC C1059: 'Comments on "Operational aspects of asynchronous filtering for hydrological forecasting” by O. Rakovec et al.', Ming Pan, 15 Apr 2015
- AC C1631: 'Reply to Referee 2 (Dr. Ming Pan)', Oldrich Rakovec, 20 May 2015
RC C1319: 'Interesting, but some clarification needed', Anonymous Referee #3, 05 May 2015
- AC C1632: 'Reply to Referee 3', Oldrich Rakovec, 20 May 2015

Peer-review completion

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

ED: Publish subject to minor revisions (Editor review) (26 May 2015) by Niko Verhoest

AR by Oldrich Rakovec on behalf of the Authors (05 Jun 2015) Author's response Manuscript

ED: Publish as is (08 Jun 2015) by Niko Verhoest

AR by Oldrich Rakovec on behalf of the Authors (09 Jun 2015)

Short summary

This is the first analysis of the asynchronous ensemble Kalman filter in hydrological forecasting. The results of discharge assimilation into a hydrological model for the catchment show that including past predictions and observations in the filter improves model forecasts. Additionally, we show that elimination of the strongly non-linear relation between soil moisture and assimilated discharge observations from the model update becomes beneficial for improved operational forecasting.