Articles | Volume 25, issue 4
https://doi.org/10.5194/npg-25-747-2018
https://doi.org/10.5194/npg-25-747-2018
Research article
 | 
07 Nov 2018
Research article |  | 07 Nov 2018

Data assimilation of radar reflectivity volumes in a LETKF scheme

Thomas Gastaldo, Virginia Poli, Chiara Marsigli, Pier Paolo Alberoni, and Tiziana Paccagnella

Viewed

Total article views: 5,338 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
3,626 1,516 196 5,338 215 248
  • HTML: 3,626
  • PDF: 1,516
  • XML: 196
  • Total: 5,338
  • BibTeX: 215
  • EndNote: 248
Views and downloads (calculated since 26 Apr 2018)
Cumulative views and downloads (calculated since 26 Apr 2018)

Viewed (geographical distribution)

Total article views: 5,338 (including HTML, PDF, and XML) Thereof 4,707 with geography defined and 631 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 24 Aug 2026
Download
Short summary
Accuracy of numerical weather prediction forecasts is strongly related to the quality of initial conditions employed. To improve them, it seems advantageous to use radar reflectivity observations because of their high spatial and temporal resolution. This is tested in a high-resolution model whose domain covers Italy. Results show that the employment of reflectivity observations improves precipitation forecast accuracy, but the positive impact is lost after a few hours of forecast.
Share