Articles | Volume 19, issue 6
Hydrol. Earth Syst. Sci., 19, 2911–2924, 2015
https://doi.org/10.5194/hess-19-2911-2015
Hydrol. Earth Syst. Sci., 19, 2911–2924, 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 et al.

Download

Interactive discussion

Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
Printer-friendly Version - Printer-friendly version Supplement - Supplement

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
Download
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.