Operational aspects of asynchronous filtering for flood forecasting
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...
| Main Authors: | , , , |
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| Format: | Article |
| Language: | English |
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Copernicus Publications
2015-06-01
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| Series: | Hydrology and Earth System Sciences |
| Online Access: | http://www.hydrol-earth-syst-sci.net/19/2911/2015/hess-19-2911-2015.pdf |
| _version_ | 1828526714669498368 |
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| author | O. Rakovec A. H. Weerts J. Sumihar R. Uijlenhoet |
| author_facet | O. Rakovec A. H. Weerts J. Sumihar R. Uijlenhoet |
| author_sort | O. Rakovec |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-12-11T21:28:48Z |
| format | Article |
| id | doaj.art-d0574a408a2b4157b93997fdaa0d0d7c |
| institution | Directory Open Access Journal |
| issn | 1027-5606 1607-7938 |
| language | English |
| last_indexed | 2024-12-11T21:28:48Z |
| publishDate | 2015-06-01 |
| publisher | Copernicus Publications |
| record_format | Article |
| series | Hydrology and Earth System Sciences |
| spelling | doaj.art-d0574a408a2b4157b93997fdaa0d0d7c2022-12-22T00:50:15ZengCopernicus PublicationsHydrology and Earth System Sciences1027-56061607-79382015-06-011962911292410.5194/hess-19-2911-2015Operational aspects of asynchronous filtering for flood forecastingO. Rakovec0A. H. Weerts1J. Sumihar2R. Uijlenhoet3Hydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, Wageningen, the NetherlandsHydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, Wageningen, the NetherlandsDeltares, P.O. Box 177, 2600 MH Delft, the NetherlandsHydrology and Quantitative Water Management Group, Department of Environmental Sciences, Wageningen University, Wageningen, the NetherlandsThis 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.http://www.hydrol-earth-syst-sci.net/19/2911/2015/hess-19-2911-2015.pdf |
| spellingShingle | O. Rakovec A. H. Weerts J. Sumihar R. Uijlenhoet Operational aspects of asynchronous filtering for flood forecasting Hydrology and Earth System Sciences |
| title | Operational aspects of asynchronous filtering for flood forecasting |
| title_full | Operational aspects of asynchronous filtering for flood forecasting |
| title_fullStr | Operational aspects of asynchronous filtering for flood forecasting |
| title_full_unstemmed | Operational aspects of asynchronous filtering for flood forecasting |
| title_short | Operational aspects of asynchronous filtering for flood forecasting |
| title_sort | operational aspects of asynchronous filtering for flood forecasting |
| url | http://www.hydrol-earth-syst-sci.net/19/2911/2015/hess-19-2911-2015.pdf |
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