Articles | Volume 23, issue 9
https://doi.org/10.5194/hess-23-3823-2019
https://doi.org/10.5194/hess-23-3823-2019
Research article
 | 
18 Sep 2019
Research article |  | 18 Sep 2019

Using nowcasting technique and data assimilation in a meteorological model to improve very short range hydrological forecasts

Maria Laura Poletti, Francesco Silvestro, Silvio Davolio, Flavio Pignone, and Nicola Rebora

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Cited articles

Acquaotta, F., Faccini, F., Fratianni, S., Paliaga, G., and Sacchini, A.: Rainfall intensity in the Genoa Metropolitan Area: secular variations and consequences, Weather, 73, 356–362, https://doi.org/10.1002/wea.3208, 2018. 
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Berenguer, M., Corral, C., Sánchez-Diezma, R., and Sempere-Torres, D.: Hydrological validation of a radar-based nowcasting technique, J. Hydrometeorol., 6, 532–549, https://doi.org/10.1175/JHM433.1 , 2005. 
Berenguer, M., Sempere-Torres, D., and Pegram, G. G.: SBMcast – An ensemble nowcasting technique to assess the uncertainty in rainfall forecasts by Lagrangian extrapolation, J. Hydrol., 404, 226–240, https://doi.org/10.1016/j.jhydrol.2011.04.033 , 2011. 
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Short summary
In this work a probabilistic rainfall nowcasting model, a non-hydrostatic high-resolution numerical weather prediction (NWP) model corrected with data assimilation, and a distributed hydrological model are used together with radar observations to implement a hydrological nowcasting chain. This chain is used to obtain a useful discharge prediction in small catchments with a time horizon of 2–8 h.