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- Title
Correction of upstream flow and hydraulic state with data assimilation in the context of food forecasting.
- Authors
Ricci, S.; Piacentini, A.; Thual, O.; Le Pape, E.; Jonville, G.
- Abstract
The present study describes the assimilation of river water level observations and the resulting improvement of the river food forecast. The BLUE algorithm was built on top of the one-dimensional hydraulics model MASCARET. The assimilation algorithm folds in two steps: the first one is based on the assumption that the upstream flow can be adjusted using a three-parameter correction, the second one consists in directly correcting the hydraulic state. This procedure is applied on a four-day sliding window over the whole food event. The background error covariances for water level and discharge are represented with asymmetric correlation functions where the upstream correlation length is bigger than the downstream correlation length. This approach is motivated by the implementation of a Kalman Filter algorithm on top of an advection-diffusion toy model. The assimilation study with MASCARET is carried out on the Adour and the Marne Vallage (France) catchments. The correction of the upstream flow as well as the control of the hydraulic state along the food event leads to a significant improvement of the water level and discharge in analysis and forecast modes.
- Subjects
MARNE River Valley (France); ADOUR River (France); FRANCE; STREAMFLOW; HYDRAULIC models; FLOOD forecasting; ALGORITHMS; STATISTICAL correlation; KALMAN filtering
- Publication
Hydrology & Earth System Sciences Discussions, 2010, Vol 7, Issue 6, p9068
- ISSN
1812-2108
- Publication type
Article
- DOI
10.5194/hessd-7-9067-2010