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Advances in Geosciences An open-access journal for refereed proceedings and special publications
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Volume 7
Adv. Geosci., 7, 355–360, 2006
https://doi.org/10.5194/adgeo-7-355-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.
Adv. Geosci., 7, 355–360, 2006
https://doi.org/10.5194/adgeo-7-355-2006
© Author(s) 2006. This work is licensed under
the Creative Commons Attribution-NonCommercial-ShareAlike 2.5 License.

  06 Jul 2006

06 Jul 2006

Discharge assimilation in a distributed flood forecasting model

D. Rabuffetti D. Rabuffetti
  • ARPA Piemonte − Forecasting and monitoring area, Corso Unione Sovietica, 216, 10134 Torino, Italia

Abstract. In the field of operational flood forecasting, uncertainties linked to hydrological forecast are often crucial. In this work, data assimilation techniques are employed to improve hydrological variable estimates coming from numerical simulations using all the available real-time water level measurements. The proposed assimilation scheme, a classical Kalman filter extension to non-linear systems, is applied in a rainfall-runoff distributed model based on the SCS-CN approach. The complex hydrological system of the Toce river basin is studied, a mountainous catchment of about 1500 km2 in the Italian alps, through the development of a prototype available for operational use. For the considered flood event, the assimilation scheme is stable, even when available observations show gaps or outliers. It allows significant improvements in the simulation results, in particular when the focus is addressed to the peak.

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