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Mixed variational-Monte Carlo Assimilation of Streamflow Data in Flood Forecasting: The Impact of Observations Spatial Distribution

Author(s): Giulia Ercolani; Fabio Castelli

Linked Author(s): Fabio Castelli

Keywords: Data assimilation; Distributed hydrologic model; Flood forecasting; Observations spatial distribution

Abstract: A mixed variational-Monte Carlo system is employed to assimilate streamflow data at multiple locations in a distributed hydrologic model for flood forecasting purposes. The goal of this work is to assess the variation of accuracy in the forecasts due to differences in the spatial distribution of the assimilation points. The area of study is Arno river basin, and the strategy of investigation is to focus on one single nearly-flood event, performing various assimilation experiments that differ only in terms of number and location of the assimilation sites.


Year: 2018

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