TY - JOUR
T1 - Brief communication
T2 - The Lahaina Fire disaster - how models can be used to understand and predict wildfires
AU - Juliano, Timothy W.
AU - Szasdi-Bardales, Fernando
AU - Lareau, Neil P.
AU - Shamsaei, Kasra
AU - Kosović, Branko
AU - Elhami-Khorasani, Negar
AU - James, Eric P.
AU - Ebrahimian, Hamed
N1 - Publisher Copyright:
© 2024 Timothy W. Juliano et al.
PY - 2024/1/11
Y1 - 2024/1/11
N2 - 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 results are in good agreement with observations recorded during the event. 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 and emergency response management during wildfire events.
AB - 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 results are in good agreement with observations recorded during the event. 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 and emergency response management during wildfire events.
UR - https://www.scopus.com/pages/publications/85184055529
U2 - 10.5194/nhess-24-47-2024
DO - 10.5194/nhess-24-47-2024
M3 - Article
AN - SCOPUS:85184055529
SN - 1561-8633
VL - 24
SP - 47
EP - 52
JO - Natural Hazards and Earth System Sciences
JF - Natural Hazards and Earth System Sciences
IS - 1
ER -