Hydrology and Earth System Sciences
Hydrology and Earth System Sciences
HESS
Articles | Volume 26, issue 6
Articles | Volume 26, issue 6
https://doi.org/10.5194/hess-26-1631-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/hess-26-1631-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 26, issue 6
Research article
 | 
25 Mar 2022
Research article |  | 25 Mar 2022

Improving radar-based rainfall nowcasting by a nearest-neighbour approach – Part 1: Storm characteristics

Bora Shehu and Uwe Haberlandt

Viewed

Total article views: 2,085 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,375 663 47 2,085 29 31
  • HTML: 1,375
  • PDF: 663
  • XML: 47
  • Total: 2,085
  • BibTeX: 29
  • EndNote: 31
Views and downloads (calculated since 10 May 2021)
Cumulative views and downloads (calculated since 10 May 2021)

Viewed (geographical distribution)

Total article views: 2,085 (including HTML, PDF, and XML) Thereof 1,903 with geography defined and 182 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 19 Apr 2024
Download
Short summary
In this paper we investigate whether similar storms behave similarly and whether the information obtained from past similar storms can improve storm nowcast based on radar data. Here a nearest-neighbour approach is employed to first identify similar storms and later to issue either a single or an ensemble nowcast based on k most similar past storms. The results indicate that the information obtained from similar storms can reduce the errors considerably, especially for convective storm nowcast.
Read more