Articles | Volume 23, issue 2
https://doi.org/10.5194/nhess-23-847-2023
https://doi.org/10.5194/nhess-23-847-2023
Research article
 | 
27 Feb 2023
Research article |  | 27 Feb 2023

Improving the predictability of the Qendresa Medicane by the assimilation of conventional and atmospheric motion vector observations. Storm-scale analysis and short-range forecast

Diego S. Carrió

Viewed

Total article views: 2,301 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,828 407 66 2,301 43 50
  • HTML: 1,828
  • PDF: 407
  • XML: 66
  • Total: 2,301
  • BibTeX: 43
  • EndNote: 50
Views and downloads (calculated since 09 Mar 2022)
Cumulative views and downloads (calculated since 09 Mar 2022)

Viewed (geographical distribution)

Total article views: 2,301 (including HTML, PDF, and XML) Thereof 2,225 with geography defined and 76 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 17 Nov 2024
Download
Short summary
The accurate prediction of medicanes still remains a key challenge in the scientific community because of their poor predictability. In this study we assimilate different observations to improve the trajectory and intensity forecasts of the Qendresa Medicane. Results show the importance of using data assimilation techniques to improve the estimate of the atmospheric flow in the upper-level atmosphere, which has been shown to be key to improve the prediction of Qendresa.
Altmetrics
Final-revised paper
Preprint