Articles | Volume 19, issue 6
https://doi.org/10.5194/hess-19-2911-2015
https://doi.org/10.5194/hess-19-2911-2015
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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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
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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.