| Autor: |
Sophie Ricci, Fabrice Zaoui, G. Jonville, Andrea Piacentini, Olivier Thual, Riadh Ata, Etienne Le Pape, Johan Habert, Nicole Goutal |
| Rok vydání: |
2013 |
| Předmět: |
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| Zdroj: |
Advances in Hydroinformatics ISBN: 9789814451413 |
| Popis: |
The present study describes the assimilation of discharge in situ data for operational flood forecasting. The study was carried out on the Marne River (France) catchment where lateral inflows’ uncertainty is important due to karstic areas. This source of error was partly accounted for using an Extended Kalman Filter (EKF) algorithm built on the top of a mono-dimensional hydraulic model. The lateral inflows were sequentially adjusted over a sliding 48 h time window. The correction leads to a significant improvement in the simulated water level and discharge in re-analysis and forecast modes. These results pave the way for the operational use of the data assimilation (DA) procedure for real-time forecasting at the French flood forecasting service. |
| Databáze: |
OpenAIRE |
| Externí odkaz: |
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