Skip to Main content Skip to Navigation
Journal articles

ASSIMILATION OF DISCHARGE DATA INTO SEMI-DISTRIBUTED CATCHMENT MODELS FOR SHORT TERM FLOW FORECASTING: CASE STUDY OF THE SEINE RIVER BASIN

Abstract : This study addresses the sensitivity of short-term flow forecasting in the Seine River basin (43,800 km2, France) to the spatial distribution using a semi-distributed model (Transfer with GR, TGR). The basin was decomposed into intermediate basins depending on the gauging stations selected for this study. A lumped hydrological model was applied on each intermediate basin and a routing model was used to propagate the discharge through the river network. Discharge data at the gauging stations were assimilated using a Kalman filter and tests for flow forecasting were performed with a lead time up to 72 h. Several spatial configurations, defined by a selection of one or several gauging stations, were tested and the performances were compared to a reference lumped model currently used operationally by the regional flood forecasting centre. Results showed that the forecasting performance improves with an increase in the degree of spatialization. Nevertheless this improvement was not systematic and the integration of some particular gauging stations degraded the model performance. In addition, it was shown that integrating some other stations (generally the most upstream) led to a negligible improvement. This suggests that in an operational context, where the model has to be robust and computationally efficient, some efforts should focus on finding the optimal spatial distribution, which is not necessarily the one using all the available stations.
Document type :
Journal articles
Complete list of metadata

Cited literature [13 references]  Display  Hide  Download

https://hal.archives-ouvertes.fr/hal-01162521
Contributor : Simon Munier Connect in order to contact the contributor
Submitted on : Thursday, June 11, 2015 - 12:44:49 PM
Last modification on : Tuesday, October 19, 2021 - 6:58:54 PM
Long-term archiving on: : Tuesday, April 25, 2017 - 6:32:18 AM

File

munier_jhe.pdf
Files produced by the author(s)

Identifiers

Citation

Simon Munier, Xavier Litrico, Gilles Belaud, Charles Perrin. ASSIMILATION OF DISCHARGE DATA INTO SEMI-DISTRIBUTED CATCHMENT MODELS FOR SHORT TERM FLOW FORECASTING: CASE STUDY OF THE SEINE RIVER BASIN. Journal of Hydrologic Engineering, American Society of Civil Engineers, 2014, 20, pp.05014021. ⟨10.1061/(ASCE)HE.1943-5584.0001054⟩. ⟨hal-01162521⟩

Share

Metrics

Record views

1033

Files downloads

705