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Session Proposal: Prescribed Fire as a Tool for Science and Management (AGU25)

B069
Prescribed Fire as a Tool for Science and Management

Session ID#: 252104

Session Description:
Fire impacts all parts of the earth system requiring integrated research and data from across disciplines representing the sub-surface, into fuels and the atmosphere. To address challenges with wildland fires, proactive fire management techniques can reduce risk, maintain ecosystem function, and minimize negative impacts. Increasing proactive fire management and the accuracy of forecasting for wildland fire and smoke trajectories is essential to achieving management goals. Fire behavior is a critical component incorporated into prescribed fire planning; with areas identified in advance, managers manipulate fire behavior through ignition patterns and interacting firelines to achieve outcomes and respond to weather conditions. Focusing on prescribed fire research and technologies, we will highlight multiscale characterization of vegetation structure and fuels and the collection of fine scale micrometeorological conditions and patterns of fire energy release, as well as tools for scenario testing and forecasting fire behavior and effects, including smoke lofting, trajectory and dispersion.
Co-Sponsor(s):
  • A - Atmospheric Sciences
  • GC - Global Environmental Change
  • NH - Natural Hazards
  • SY - Science and Society
Index Terms:

0439 Ecosystems, structure and dynamics [BIOGEOSCIENCES]
0452 Instruments and techniques [BIOGEOSCIENCES]
3390 Wildland fire model [ATMOSPHERIC PROCESSES]
4343 Preparedness and planning [NATURAL HAZARDS]
Primary Convener:  Ryan A Wade, NASA Marshall Space Flight Center, Huntsville, United States
Conveners:  Jacquelyn K Shuman, PhD, NASA Ames Research Center, Moffett Field, CA, United States, Aaron Piña, USDA Forest Service, Research & Development, Sustainable Forest Management Research, Washington, D.C., United States and Marcus D Williams, USDA Forest Service, Athens, GA, United States
Student/Early Career Convener:  Kelley Murphy, NASA Marshall Space Flight Center, Huntsville, United States
 
Prescribed Fire Smoke Monitoring: Failure-Case Simulation for Sensor Placement Decision-Making (1848972)
Evan Twarog1, Daniel Neamati2 and Grace Gao2, (1)Stanford University, School of Engineering, Stanford, United States, (2)Stanford University, Aeronautics and Astronautics, Stanford, United States
 
Integrating Fire Behavior Models with Chemical Transport Models: A Case Study of Coupling CMAQ with WRF-SFIRE (1867758)
Zongrun Li1, Yongtao Hu1, Susan O'Neill2, Rime El Asmar3, Haofei Yu4, David Tanner5, L Gregory Huey3, Rodney J Weber6, Armistead G Russell1 and Talat Odman7, (1)Georgia Institute of Technology, School of Civil and Environmental Engineering, Atlanta, United States, (2)US Forest Service, Seattle, WA, United States, (3)Georgia Institute of Technology Main Campus, School of Earth and Atmospheric Sciences, Atlanta, United States, (4)Pacific Northwest National Laboratory, Richland, United States, (5)Georgia Institute of Technology, Earth and Atmospheric Sciences, Atlnata, United States, (6)Georgia Institute of Technology, School of Earth and Atmospheric Sciences, Atlanta, United States, (7)Georgia Institute of Technology Main Campus, Civil and Environmental Engineering, Atlanta, United States
 
Impacts of Meteorological Forcing and Land Cover on Grassland Fire by WRF-SFIRE Simulation and its Computational Optimization (1885285)
Mengjie Lou and Qizhong Wu, Beijing Normal University, Institute of Earth System Science, Faculty of Geographical Science, Beijing, China
 
Effect of Fuel Moisture Content on Plume Dynamics in the Convective Boundary Layer (1902224)
Ritambhara Raj Dubey, Florida State University, Tallahassee, FL, United States and Neda Yaghoobian, Florida State University, Mechanical Engineering, Tallahassee, FL, United States
 
Model Fuel Treatments: Convergent and Contrasting Effects of Prescribed Fire and Mechanical Thinning on Stand Structure, Fuel, and Demography Rates (1915621)
Xiulin Gao, University of California Berkeley, Berkeley, CA, United States, Jessica Katz, University of California, Berkeley, Berkeley, United States, Charles Koven, Lawrence Berkeley National Laboratory, Berkeley, United States, Lara M Kueppers, University of California Berkeley, Energy and Resources Group, Berkeley, CA, United States and Jessica Katz
 
The Role of Prescribed Fire in Ecosystem Restoration in Central Texas (1921198)
James Oliver Thompson1, Jacob Kruel2, Jean-Francois Smekens3, Sean Griffin2, Christine Simurda2, Carl Schwope4, Matt O'Toole2, Joseph D White5 and Michael S Ramsey6, (1)The University of Texas at Austin, Bureau of Economic Geology, Jackson School of Geosciences, Austin, United States, (2)University of Texas at Austin, Austin, United States, (3)Northern Arizona University, Flagstaff, United States, (4)U.S. Fish and Wildlife Service BCNWR, Marble Falls, United States, (5)Baylor University, Department of Biology, Waco, TX, United States, (6)University of Pittsburgh, Department of Geology and Environmental Science, Pittsburgh, PA, United States
 
Application of Surface Based Wildland Fire Behavior Measurements in Ecological Modeling (1956756)
Steve Flanagan1, Joseph O'Brien1, John Grego2, Jed Lindborg2, David Hitchcock2, Joseph Paki3, Robert Kremens4, Niko Tutland5 and Louise E Loudermilk1, (1)USDA Forest Service Southern Research Station, Athens Prescribed Fire Science Laboratory, Athens, United States, (2)University of South Carolina, Columbia, United States, (3)Michigan Technical Research Institute, Ann Arbor, United States, (4)Rochester Institute of Technology, Rochester, United States, (5)New Mexico Consortium, Los Alamos, United States
 
Improving Wildfire AI with Radiometric Thermal UAV Data: An Introduction to the FLAME 3 Dataset (1970675)
Mobin Habibpour1, Bryce Hopkins2, Christopher Oneil3, Eric Rowell4, Russell Parsons5, Carl Seielstad6, Michael Marinaccio2, Sarah Flanary7, Irtija Nazim2, Fatemeh Afghah8, Mayamin Hamid Raha9, Alireza Tavakkoli10 and Janice Coen11, (1)Clemson University, computer engineering, Clemson, SC, United States, (2)Clemson university, Clemson, United States, (3)US Forest Service Pacific Southwest Research Station, Redding, United States, (4)California Environmental Protection Agency Air Resources Board, Sacramento, United States, (5)US Forest Service Missoula, Missoula, United States, (6)University of Montana, National Center for Landscape Fire Analysis, Missoula, United States, (7)US Forest Service, Rocky Mountain Research Station, Missoula, United States, (8)Clemson University, Clemson, United States, (9)University of Nevada Reno, computer science and engineering, Reno, United States, (10)University of Nevada Reno, Computer Science and Engineering, Reno, United States, (11)National Center for Atmospheric Research, Boulder, United States
 
The Utilization of UAS-Borne Radiosondes to Document Atmospheric Conditions of a Prescribed Burn During the Spring 2025 NASA FireSense Campaign (1978166)
Preston Pangle1, Jennifer Fowler2, Jacquelyn K Shuman, PhD3, Ryan A Wade4, Alana Dachtler5, Derek Abramson6, Alexander Jaffe6, Harrison Raine7, Justin Hall6 and Alexander Kotik8, (1)University of Alabama in Huntsville, Huntsville, United States, (2)NASA Langley Research Center, Hampton, United States, (3)NASA Ames Research Center, Moffett Field, CA, United States, (4)NASA Marshall Space Flight Center, Huntsville, United States, (5)InterMet Systems, Grand Rapids, MI, United States, (6)NASA Armstrong Flight Research Center, Edwards, United States, (7)NASA Ames Research Center, Moffett Field, United States, (8)Graw, Nuremburg, Germany
 
Ground-based and Airborne Observations during the 2025 NASA FireSense Prescribed Burn Field Projects (1985324)
Steven Stolze1, Matthew Miller2, Preston Pangle1, Todd Murphy3 and Ryan A Wade4, (1)University of Alabama in Huntsville, Huntsville, United States, (2)University of Alabama in Huntsville, Huntsville, AL, United States, (3)University of Louisiana Monroe, Monroe, United States, (4)NASA Marshall Space Flight Center, Huntsville, United States
 
Using spaceborne lidar data to assess the spatial effects and longevity of fuel treatment strategies on vegetation structure in California (2004693)
Mengyu Liang, Stanford University, Earth System Science, Stanford, United States, Christopher Hakkenberg, ; Northern Arizona University, Flagstaff, United States, Lydia Marie Villa, Stanford University, Biology, Stanford, United States, Laura Duncanson, University of Maryland College Park, College Park, MD, United States and Christopher B Field, Stanford University, Stanford Woods Institute for the Environment, Stanford, United States
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