Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 21, issue 9
Articles | Volume 21, issue 9
https://doi.org/10.5194/nhess-21-2849-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-21-2849-2021
© Author(s) 2021. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 21, issue 9
Research article
 | 
17 Sep 2021
Research article |  | 17 Sep 2021

Investigating 3D and 4D variational rapid-update-cycling assimilation of weather radar reflectivity for a heavy rain event in central Italy

Vincenzo Mazzarella, Rossella Ferretti, Errico Picciotti, and Frank Silvio Marzano

Viewed

Total article views: 2,514 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,502 942 70 2,514 52 48
  • HTML: 1,502
  • PDF: 942
  • XML: 70
  • Total: 2,514
  • BibTeX: 52
  • EndNote: 48
Views and downloads (calculated since 06 Jan 2021)
Cumulative views and downloads (calculated since 06 Jan 2021)

Viewed (geographical distribution)

Total article views: 2,514 (including HTML, PDF, and XML) Thereof 2,437 with geography defined and 77 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 13 Dec 2024
Download
Short summary
Forecasting precipitation over the Mediterranean basin is still a challenge. In this context, data assimilation techniques play a key role in improving the initial conditions and consequently the timing and position of the precipitation forecast. For the first time, the ability of a cycling 4D-Var to reproduce a heavy rain event in central Italy, as well as to provide a comparison with the largely used cycling 3D-Var, is evaluated in this study.
Read more
Altmetrics
Final-revised paper
Preprint