Articles | Volume 24, issue 1
https://doi.org/10.5194/nhess-24-47-2024
https://doi.org/10.5194/nhess-24-47-2024
Brief communication
 | 
11 Jan 2024
Brief communication |  | 11 Jan 2024

Brief communication: The Lahaina Fire disaster – how models can be used to understand and predict wildfires

Timothy W. Juliano, Fernando Szasdi-Bardales, Neil P. Lareau, Kasra Shamsaei, Branko Kosović, Negar Elhami-Khorasani, Eric P. James, and Hamed Ebrahimian

Viewed

Total article views: 2,273 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,645 585 43 2,273 28 32
  • HTML: 1,645
  • PDF: 585
  • XML: 43
  • Total: 2,273
  • BibTeX: 28
  • EndNote: 32
Views and downloads (calculated since 20 Sep 2023)
Cumulative views and downloads (calculated since 20 Sep 2023)

Viewed (geographical distribution)

Total article views: 2,273 (including HTML, PDF, and XML) Thereof 2,153 with geography defined and 120 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 08 May 2024
Download
Short summary
Following the destructive Lahaina Fire in Hawaii, our team has modeled the wind and fire spread processes to understand the drivers of this devastating event. The simulation results show that extreme winds with high variability, a fire ignition close to the community, and construction characteristics led to continued fire spread in multiple directions. Our results suggest that available modeling capabilities can provide vital information to guide decision-making during wildfire events.
Altmetrics
Final-revised paper
Preprint