Publication Details

Category Text Publication
Reference Category Journals
DOI 10.5194/hess-19-2911-2015
Title (Primary) Operational aspects of asynchronous filtering for flood forecasting
Author Rakovec, O. ORCID logo ; Weerts, A.H.; Sumihar, J.; Uijlenhoet, R.
Source Titel Hydrology and Earth System Sciences
Year 2015
Department CHS
Volume 19
Issue 6
Page From 2911
Page To 2924
Language englisch
UFZ wide themes RU5;
Abstract This study investigates the suitability of the asynchronous ensemble Kalman filter (AEnKF) and a partitioned updating scheme for hydrological forecasting. The AEnKF requires forward integration of the model for the analysis and enables assimilation of current and past observations simultaneously at a single analysis step. The results of discharge assimilation into a grid-based hydrological model (using a soil moisture error model) for the Upper Ourthe catchment in the Belgian Ardennes show that including past predictions and observations in the data assimilation method improves the model forecasts. Additionally, we show that elimination of the strongly non-linear relation between the soil moisture storage and assimilated discharge observations from the model update becomes beneficial for improved operational forecasting, which is evaluated using several validation measures.
Persistent UFZ Identifier
Rakovec, O., Weerts, A.H., Sumihar, J., Uijlenhoet, R. (2015):
Operational aspects of asynchronous filtering for flood forecasting
Hydrol. Earth Syst. Sci. 19 (6), 2911 - 2924 10.5194/hess-19-2911-2015