Natural Hazards and Earth System Sciences
Natural Hazards and Earth System Sciences
NHESS
Articles | Volume 24, issue 6
Articles | Volume 24, issue 6
https://doi.org/10.5194/nhess-24-1929-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-24-1929-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 24, issue 6
Brief communication
 | 
11 Jun 2024
Brief communication |  | 11 Jun 2024

Brief communication: SWM – stochastic weather model for precipitation-related hazard assessments using ERA5-Land data

Melody Gwyneth Whitehead and Mark Stephen Bebbington

Viewed

Total article views: 777 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
610 133 34 777 43 25 22
  • HTML: 610
  • PDF: 133
  • XML: 34
  • Total: 777
  • Supplement: 43
  • BibTeX: 25
  • EndNote: 22
Views and downloads (calculated since 22 Sep 2023)
Cumulative views and downloads (calculated since 22 Sep 2023)

Viewed (geographical distribution)

Total article views: 777 (including HTML, PDF, and XML) Thereof 736 with geography defined and 41 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 29 Jun 2024
Download
Short summary
Precipitation-driven hazards including floods, landslides, and lahars can be catastrophic and difficult to forecast due to high uncertainty around future weather patterns. This work presents a stochastic weather model that produces statistically similar (realistic) rainfall over long time periods at minimal computational cost. These data provide much-needed inputs for hazard simulations to support long-term, time and spatially varying risk assessments.
Read more
Altmetrics
Final-revised paper
Preprint