Coupled fire-atmosphere simulation of the 2018 Camp Fire using WRF-Fire

Kasra Shamsaei, Timothy W. Juliano, Matthew Roberts, Hamed Ebrahimian, Branko Kosovic, Neil P. Lareau, Ertugrul Taciroglu

Research output: Contribution to journalArticlepeer-review

22 Scopus citations

Abstract

Background: Accurate simulation of wildfires can benefit pre-ignition mitigation and preparedness, and post-ignition emergency response management. Aims: We evaluated the performance of Weather Research and Forecast-Fire (WRF-Fire), a coupled fire-atmosphere wildland fire simulation platform, in simulating a large historic fire (2018 Camp Fire). Methods: A baseline model based on a setup typically used for WRF-Fire operational applications is utilised to simulate Camp Fire. Simulation results are compared to high-temporal-resolution fire perimeters derived from NEXRAD observations. The sensitivity of the model to a series of modelling parameters and assumptions governing the simulated wind field are then investigated. Results of WRF-Fire for Camp Fire are compared to FARSITE. Key results: Baseline case shows non-negligible discrepancies between the simulated fire and the observations on rate of spread (ROS) and spread direction. Sensitivity analysis results show that refining the atmospheric grid of Camp Fire's complex terrain improves fire prediction capabilities. Conclusions: Sensitivity studies show the importance of refined atmosphere modelling for wildland fire simulation using WRF-Fire in complex terrains. Compared to FARSITE, WRF-Fire agrees better with the observations in terms of fire propagation rate and direction. Implications: The findings suggest the need for further investigation of other possible sources of wildfire modelling uncertainties and errors.

Original languageEnglish
Pages (from-to)195-221
Number of pages27
JournalInternational Journal of Wildland Fire
Volume32
Issue number2
DOIs
StatePublished - Jan 5 2023
Externally publishedYes

Keywords

  • Camp Fire
  • FARSITE
  • NEXRAD
  • WRF-Fire
  • coupled fire-atmosphere simulation
  • sensitivity
  • wildfire simulation
  • wind

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