Articles | Volume 19, issue 8
https://doi.org/10.5194/nhess-19-1839-2019
https://doi.org/10.5194/nhess-19-1839-2019
Research article
 | 
23 Aug 2019
Research article |  | 23 Aug 2019

The impact of lightning and radar reflectivity factor data assimilation on the very short-term rainfall forecasts of RAMS@ISAC: application to two case studies in Italy

Stefano Federico, Rosa Claudia Torcasio, Elenio Avolio, Olivier Caumont, Mario Montopoli, Luca Baldini, Gianfranco Vulpiani, and Stefano Dietrich

Viewed

Total article views: 3,669 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,436 1,141 92 3,669 199 97 88
  • HTML: 2,436
  • PDF: 1,141
  • XML: 92
  • Total: 3,669
  • Supplement: 199
  • BibTeX: 97
  • EndNote: 88
Views and downloads (calculated since 23 Nov 2018)
Cumulative views and downloads (calculated since 23 Nov 2018)

Viewed (geographical distribution)

Total article views: 3,669 (including HTML, PDF, and XML) Thereof 3,146 with geography defined and 523 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Jun 2024
Download
Short summary
This study shows the possibility to improve the weather forecast at the very short range (0–3 h) using lightning and/or radar reflectivity observations. We consider two challenging events that occurred over Italy, named Serrano and Livorno, characterized by moderate and exceptional rainfall, respectively. The improvement given to the forecast by using the lightning and/or radar reflectivity observations is considerable. The best performance is obtained when using both data.
Altmetrics
Final-revised paper
Preprint