Articles | Volume 24, issue 8
https://doi.org/10.5194/nhess-24-2793-2024
https://doi.org/10.5194/nhess-24-2793-2024
Research article
 | 
22 Aug 2024
Research article |  | 22 Aug 2024

Probabilistic short-range forecasts of high-precipitation events: optimal decision thresholds and predictability limits

François Bouttier and Hugo Marchal

Viewed

Total article views: 912 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
659 206 47 912 29 28
  • HTML: 659
  • PDF: 206
  • XML: 47
  • Total: 912
  • BibTeX: 29
  • EndNote: 28
Views and downloads (calculated since 16 Jan 2024)
Cumulative views and downloads (calculated since 16 Jan 2024)

Viewed (geographical distribution)

Total article views: 912 (including HTML, PDF, and XML) Thereof 862 with geography defined and 50 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 12 Nov 2024
Download
Short summary
Weather prediction uncertainties can be described as sets of possible scenarios – a technique called ensemble prediction. Our machine learning technique translates them into more easily interpretable scenarios for various users, balancing the detection of high precipitation with false alarms. Key parameters are precipitation intensity and space and time scales of interest. We show that the approach can be used to facilitate warnings of extreme precipitation.
Altmetrics
Final-revised paper
Preprint