EP33E:
Recent Advances in Fire Modeling Posters


Submit an Abstract to this Session


Session ID#: 48726

Session Description:
Wildfires are an important part of the ecosystem and interact with their environment on a range of spatial and temporal scales. Consequently, a range of models exist, aimed at understanding different aspects of fire, from empirical models of 1D-2D fire spread to computationally expensive, physics-based research models of 3D fire-atmosphere interactions. Each of these models fills a niche, addressing fire on space and time scales from local/instantaneous to global/century. Likewise, applications span the range from operational support on a wildfire to wildfire modules within Earth System Models.

We aim to bring together fire modelers from a variety of backgrounds to exchange knowledge and ideas, and share recent model developments and results of fire modeling studies across all spatial and temporal scales. We encourage abstracts on modeling innovations from empirical to CFD models that aim to enhance our understanding of fire behavior now (fire-ecosystem-topography interactions) and in the future (fire-climate interactions).
Primary Convener:  Alexandra K Jonko, Los Alamos National Laboratory, Los Alamos, NM, United States
Conveners:  Kara Yedinak, University of Washington, School of Environmental and Forestry Science, Seattle, United States, Chad M Hoffman, Colorado State University, Forest and Rangeland Stewardship Program, Fort Collins, CO, United States and Rodman Linn, Los Alamos National Laboratory, Los Alamos, NM, United States
Primary Liaison:  Alexandra K Jonko, Los Alamos National Laboratory, Los Alamos, NM, United States
Chairs:  Alexandra K Jonko, Los Alamos National Laboratory, Los Alamos, NM, United States and Kara Yedinak, University of Washington, School of Environmental and Forestry Science, Seattle, United States
OSPA Liaison:  Alexandra K Jonko, Los Alamos National Laboratory, Los Alamos, NM, United States

Cross-Listed:
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
Index Terms:

0315 Biosphere/atmosphere interactions [ATMOSPHERIC COMPOSITION AND STRUCTURE]
3307 Boundary layer processes [ATMOSPHERIC PROCESSES]
3390 Wildland fire model [ATMOSPHERIC PROCESSES]

Abstracts Submitted to this Session:

Turbulence in a wildland fire – a micrometeorological perspective (422781)
Tirtha Banerjee1, Rodman Linn1, Warren E Heilman2, Scott Goodrick3 and Craig B Clements4, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)USDA Forest Service, Northern Research Station, Vallejo, United States, (3)US Forest Service Athens, Athens, GA, United States, (4)San Jose State University, Department of Meteorology and Climate Science, San Jose, United States
Idealized Models for Backing Fire (375873)
Julia Oliveto, Florida State University, Los Alamos National Lab, Tallahassee, FL, United States, Dorianis Mercedes Perez, Florida State University, Geophysical Fluid Dynamics Institute (GFDI), Department of Scientific Computing, Tallahassee, United States and Kevin Speer, Florida State University, Department of Scientific Computing (DSC), Tallahassee, United States
Chaotic Attractors in Wildland Fire Behavior (419869)
Kara M Yedinak1, Alexandra K Jonko2, Juliana L Conley3, Rodman Linn2, Russell Parsons4 and Adam L Atchley5, (1)University of Washington, Moscow, ID, United States, (2)Los Alamos National Laboratory, Los Alamos, NM, United States, (3)University of Rochester, Rochester, NY, United States, (4)US Forest Service Missoula, Missoula, United States, (5)Los Alamos National Laboratory, Earth and Environmental Sciences, Los Alamos, United States
Combustion Characteristics of Forest Litter in Larger Laboratory Fires as Determined from Fuel Mass Loss, Fluxes of Evolved Gases and Soot, and Gas Temperatures for CFD Fire Modeling (461924)
Mark A Dietenberger, USDA Forest Service, Vallejo, CA, United States, Matthew B Dickinson, US Forest Service, Delaware, OH, United States and Charles Boardman, USDA Forest Service, Madison, WI, United States
Developing Forest Fire Danger index using NASA MODIS TERRA Near Real Time satellite datasets (363854)
Suresh Babu K V, Indian Institute of Remote Sensing, Dehradun, India, Arijit Roy, Indian Institute of Remote Sensing, ISRO, Dehradun, India and Ramachandra Prasad P, Assistant Professor, Lab for Spatial Informatics, Hyderabad, India
Ember and Fire Modeling to Estimate Safe Separation Distance for Combustible Fences (410813)
Kuldeep Prasad1, Kathryn Butler2 and Erik Johnsson2, (1)National Institute of Standards and Technology Gaithersburg, Gaithersburg, MD, United States, (2)National Institute of Standards and Technology Gaithersburg, Gaithersburg, United States
Fire Dynamics in Built Environments (365895)
Mohamed Abuhegazy and Neda Yaghoobian, Florida State University, Mechanical Engineering, Tallahassee, FL, United States
Simulated vegetation and fire hazard in a longleaf pine ecosystem for 50 year time periods under multiple prescribed fire management scenarios (422528)
Jim Cronan, Seattle, WA, United States
The expansion of the wildfire season in the western US as seen through FIRETEC (441075)
Kurt Solander1, Troy M. Holland2, Matthew D Hurteau3, Nathan McDowell4, Chonggang Xu2 and Rodman Linn2, (1)Los Alamos National Laboratory, Los Alamos, United States, (2)Los Alamos National Laboratory, Los Alamos, NM, United States, (3)University of New Mexico Main Campus, Albuquerque, NM, United States, (4)Pacific Northwest National Laboratory, Richland, United States
Tundra Fires in Alaska: A Weather Perspective (384669)
James White, Ohio State University Main Campus, Columbus, OH, United States, Richard Thoman, National Weather Service Alaska Region, Environmental and Scientific Services Division, Fairbanks, AK, United States and John E Walsh, University of Alaska Fairbanks, Fairbanks, AK, United States
Use of a Physics-Based Fire Model to Evaluate How Tree Separation Distance and Group Size Influence Crown Fire Behavior Through Flame Interactions and Altered Convective Regimes (380395)
Scott Michael Ritter, Colorado State University, Forest and Rangeland Stewardship Program, Fort Collins, United States, Chad M Hoffman, Colorado State University, Forest and Rangeland Stewardship Program, Fort Collins, CO, United States and William Mell, US Forest Service Seattle, Pacific Northwest Research Station, Seattle, WA, United States
Use of physics-based fire models provide insights on the effect of spatially-heterogeneous fuels on fine-scale fire behavior (461763)
Justin P Ziegler, Colorado State University, Fort Collins, United States, Chad M Hoffman, Colorado State University, Forest and Rangeland Stewardship Program, Fort Collins, CO, United States, Brandon Collins, US Forest Service Davis, Davis, CA, United States, Eric Knapp, USDA Forest Service, Redding, United States, Jonathan Long, USDA Forest Service, Davis, CA, United States and William Mell, US Forest Service Seattle, Pacific Northwest Research Station, Seattle, WA, United States
Using a Computational Fluid Dynamics Model to model prescribed fire behavior for different ignition techniques (418292)
Alexandra K Jonko1, Rodman Linn1, Judith Winterkamp1, Brett Williams2 and James Furman3, (1)Los Alamos National Laboratory, Los Alamos, NM, United States, (2)US Air Force, Eglin Air Force Base, United States, (3)USDA Forest Service, Eglin Air Force Base, United States
Wind Perturbations Drive Variability in Wildland Fire Outcomes (455485)
Juliana L Conley1, Alexandra K Jonko2, Kara M Yedinak3, Russell A Parsons4 and Rodman Linn2, (1)University of Rochester, Rochester, NY, United States, (2)Los Alamos National Laboratory, Los Alamos, NM, United States, (3)University of Washington, Moscow, ID, United States, (4)US Forest Service Missoula, Fire Sciences Laboratory, Missoula, MT, United States
WRFx: An Online Data-Driven Coupled Atmosphere-Fire Modeling System with Automated Acquisition and Assimilation of Satellite Active Fires Detection and RAWS Fuel Moisture Data (463213)
Jan Mandel1, Adam Kochanski2, James Haley3, Angel Farguell1, Martin Vejmelka4 and Sher Schranz5, (1)University of Colorado Denver, Mathematical and Statistical Sciences, Denver, United States, (2)University of Utah, Atmospheric Sciences, Salt Lake City, UT, United States, (3)University of Colorado Denver, Mathematical and Statistical Sciences, Denver, CO, United States, (4)CEAi, Inc., Prague, Czech Republic, (5)Colorado State University, CIRA, Fort Collins, United States

See more of: Earth and Planetary Surface Processes