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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Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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Peer-review completion

AR: Author's response | RR: Referee report | ED: Editor decision
ED: Reconsider after major revisions (further review by editor and referees) (28 Jun 2019) by Uwe Ehret
AR by Maria Laura Poletti on behalf of the Authors (02 Aug 2019)  Author's response   Manuscript 
ED: Publish as is (11 Aug 2019) by Uwe Ehret
AR by Maria Laura Poletti on behalf of the Authors (19 Aug 2019)  Manuscript 
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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.