Articles | Volume 7, issue 3
https://doi.org/10.5194/wcd-7-1837-2026
https://doi.org/10.5194/wcd-7-1837-2026
Research article
 | 
21 Sep 2026
Research article |  | 21 Sep 2026

Spread/error relationship and spatial error representation in precipitation nowcasting: comparison of STEPS and generative AI

Martin Bonte, Lesley De Cruz, Fabian Debal, and Stéphane Vannitsem

Viewed

Total article views: 480 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
328 110 42 480 58 37 34
  • HTML: 328
  • PDF: 110
  • XML: 42
  • Total: 480
  • Supplement: 58
  • BibTeX: 37
  • EndNote: 34
Views and downloads (calculated since 23 Apr 2026)
Cumulative views and downloads (calculated since 23 Apr 2026)

Viewed (geographical distribution)

Total article views: 480 (including HTML, PDF, and XML) Thereof 458 with geography defined and 22 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 21 Sep 2026
Download
Short summary
The predictability of the generative AI-based nowcasting model LDCast is evaluated over Belgium, together with the pysteps implementation of the nowcasting algorithm STEPS. It appears that the ensembles of both models correctly estimate the error size through their spread, but fail at spatially representing the error. The analysis is done for two dynamically different types of events, showing how the models adapt their ensembles depending on the situation.
Share