Articles | Volume 17, issue 1
https://doi.org/10.5194/nhess-17-61-2017
https://doi.org/10.5194/nhess-17-61-2017
Research article
 | 
23 Jan 2017
Research article |  | 23 Jan 2017

Improvement of RAMS precipitation forecast at the short-range through lightning data assimilation

Stefano Federico, Marco Petracca, Giulia Panegrossi, and Stefano Dietrich

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Status: closed
Status: closed
AC: Author comment | RC: Referee comment | SC: Short comment | EC: Editor comment
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AR: Author's response | RR: Referee report | ED: Editor decision
ED: Publish subject to minor revisions (further review by Editor) (21 Dec 2016) by Ricardo Trigo
AR by Stefano Federico on behalf of the Authors (26 Dec 2016)  Author's response    Manuscript
ED: Publish subject to technical corrections (29 Dec 2016) by Ricardo Trigo
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Short summary
The motivation of this study is to use lightning observations to improve the precipitation forecast at the short range (3 h). For this purpose 20 case studies, occurring in fall 2012, were analyzed using a meteorological model, whose set-up is applicable in real-time weather forecasting. Lightning observations were provided by the LINET network. Results show a systematic improvement of the 3 h precipitation forecast when lightning observations are used.
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