Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California

Extreme, downslope mountain winds often generate dangerous wildfire conditions. We used the wildfire spread model Fire Area Simulator (FARSITE) to simulate two wildfires influenced by strong wind events in Santa Barbara, CA. High spatial-resolution imagery for fuel maps and hourly wind downscaled to...

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Main Authors: Katelyn Zigner, Leila M. V. Carvalho, Seth Peterson, Francis Fujioka, Gert-Jan Duine, Charles Jones, Dar Roberts, Max Moritz
Format: Article
Language:English
Published: MDPI AG 2020-07-01
Series:Fire
Subjects:
Online Access:https://www.mdpi.com/2571-6255/3/3/29
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author Katelyn Zigner
Leila M. V. Carvalho
Seth Peterson
Francis Fujioka
Gert-Jan Duine
Charles Jones
Dar Roberts
Max Moritz
author_facet Katelyn Zigner
Leila M. V. Carvalho
Seth Peterson
Francis Fujioka
Gert-Jan Duine
Charles Jones
Dar Roberts
Max Moritz
author_sort Katelyn Zigner
collection DOAJ
description Extreme, downslope mountain winds often generate dangerous wildfire conditions. We used the wildfire spread model Fire Area Simulator (FARSITE) to simulate two wildfires influenced by strong wind events in Santa Barbara, CA. High spatial-resolution imagery for fuel maps and hourly wind downscaled to 100 m were used as model inputs, and sensitivity tests were performed to evaluate the effects of ignition timing and location on fire spread. Additionally, burn area rasters from FARSITE simulations were compared to minimum travel time rasters from FlamMap simulations, a wildfire model similar to FARSITE that holds environmental variables constant. Utilization of two case studies during strong winds revealed that FARSITE was able to successfully reconstruct the spread rate and size of wildfires when spotting was minimal. However, in situations when spotting was an important factor in rapid downslope wildfire spread, both FARSITE and FlamMap were unable to simulate realistic fire perimeters. We show that this is due to inherent limitations in the models themselves, related to the slope-orientation relative to the simulated fire spread, and the dependence of ember launch and land locations. This finding has widespread implications, given the role of spotting in fire progression during extreme wind events.
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spelling doaj.art-5e3d0458ede84cd0b876de427e9fd6692023-11-20T06:25:29ZengMDPI AGFire2571-62552020-07-01332910.3390/fire3030029Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, CaliforniaKatelyn Zigner0Leila M. V. Carvalho1Seth Peterson2Francis Fujioka3Gert-Jan Duine4Charles Jones5Dar Roberts6Max Moritz7Department of Geography, University of California, Santa Barbara, Santa Barbara, CA 93106, USADepartment of Geography, University of California, Santa Barbara, Santa Barbara, CA 93106, USADepartment of Geography, University of California, Santa Barbara, Santa Barbara, CA 93106, USACEESMO, Chapman University, Orange, CA 92866, USAEarth Research Institute, University of California, Santa Barbara, CA 93106, USADepartment of Geography, University of California, Santa Barbara, Santa Barbara, CA 93106, USADepartment of Geography, University of California, Santa Barbara, Santa Barbara, CA 93106, USADepartment of Geography, University of California, Santa Barbara, Santa Barbara, CA 93106, USAExtreme, downslope mountain winds often generate dangerous wildfire conditions. We used the wildfire spread model Fire Area Simulator (FARSITE) to simulate two wildfires influenced by strong wind events in Santa Barbara, CA. High spatial-resolution imagery for fuel maps and hourly wind downscaled to 100 m were used as model inputs, and sensitivity tests were performed to evaluate the effects of ignition timing and location on fire spread. Additionally, burn area rasters from FARSITE simulations were compared to minimum travel time rasters from FlamMap simulations, a wildfire model similar to FARSITE that holds environmental variables constant. Utilization of two case studies during strong winds revealed that FARSITE was able to successfully reconstruct the spread rate and size of wildfires when spotting was minimal. However, in situations when spotting was an important factor in rapid downslope wildfire spread, both FARSITE and FlamMap were unable to simulate realistic fire perimeters. We show that this is due to inherent limitations in the models themselves, related to the slope-orientation relative to the simulated fire spread, and the dependence of ember launch and land locations. This finding has widespread implications, given the role of spotting in fire progression during extreme wind events.https://www.mdpi.com/2571-6255/3/3/29wildfire modelingFARSITEspottingfire weatherSundowner winds
spellingShingle Katelyn Zigner
Leila M. V. Carvalho
Seth Peterson
Francis Fujioka
Gert-Jan Duine
Charles Jones
Dar Roberts
Max Moritz
Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California
Fire
wildfire modeling
FARSITE
spotting
fire weather
Sundowner winds
title Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California
title_full Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California
title_fullStr Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California
title_full_unstemmed Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California
title_short Evaluating the Ability of FARSITE to Simulate Wildfires Influenced by Extreme, Downslope Winds in Santa Barbara, California
title_sort evaluating the ability of farsite to simulate wildfires influenced by extreme downslope winds in santa barbara california
topic wildfire modeling
FARSITE
spotting
fire weather
Sundowner winds
url https://www.mdpi.com/2571-6255/3/3/29
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