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