Articles | Volume 14
https://doi.org/10.5194/asr-14-187-2017
https://doi.org/10.5194/asr-14-187-2017
30 Jun 2017
 | 30 Jun 2017

Impact of the assimilation of lightning data on the precipitation forecast at different forecast ranges

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

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Latest update: 20 Nov 2024
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Short summary
This study investigates the impact of using lightning data on the precipitation forecast at different forecast ranges (3–24 h). Twenty case studies, occurred over Italy in fall 2012, are selected to show the impact. Results show the important and positive impact of using lightning data to improve the precipitation forecast. The time range, however, is very important because the performance decreases steadily and substantially with forecasting time.