Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 24, issue 12
Articles | Volume 24, issue 12
https://doi.org/10.5194/nhess-24-4225-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-4225-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 12
Research article
 | 
29 Nov 2024
Research article |  | 29 Nov 2024

Statistical calibration of probabilistic medium-range Fire Weather Index forecasts in Europe

Stephanie Bohlmann and Marko Laine

Viewed

Total article views: 1,155 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
798 282 75 1,155 115 64 70
  • HTML: 798
  • PDF: 282
  • XML: 75
  • Total: 1,155
  • Supplement: 115
  • BibTeX: 64
  • EndNote: 70
Views and downloads (calculated since 31 May 2024)
Cumulative views and downloads (calculated since 31 May 2024)

Viewed (geographical distribution)

Total article views: 1,155 (including HTML, PDF, and XML) Thereof 1,106 with geography defined and 49 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Jun 2025
Download
Short summary
Probabilistic ensemble forecasts of the Canadian Forest Fire Weather Index (FWI) can be used to estimate the possible wildfire risk but require post-processing to provide accurate and reliable predictions. This article presents a calibration method using non-homogeneous Gaussian regression to statistically post-process FWI forecasts up to 15 d. Calibration improves the forecast especially at short lead times and in regions with high fire risk.
Read more
Share
Altmetrics
Final-revised paper
Preprint