Award Abstract # 2114740
AccelNet-Design: iFireNet: An international network of networks for prediction and management of wildland fires

NSF Org: OISE
Office of International Science and Engineering
Recipient: UNIVERSITY OF CALIFORNIA IRVINE
Initial Amendment Date: July 9, 2021
Latest Amendment Date: September 25, 2024
Award Number: 2114740
Award Instrument: Standard Grant
Program Manager: Ralph Wachter
rwachter@nsf.gov
 (703)292-8950
OISE
 Office of International Science and Engineering
O/D
 Office Of The Director
Start Date: October 1, 2021
End Date: September 30, 2025 (Estimated)
Total Intended Award Amount: $250,000.00
Total Awarded Amount to Date: $250,000.00
Funds Obligated to Date: FY 2021 = $250,000.00
History of Investigator:
  • Tirtha Banerjee (Principal Investigator)
    tirthab@uci.edu
  • Efi Foufoula-Georgiou (Co-Principal Investigator)
  • Michael Gollner (Co-Principal Investigator)
  • David Blunck (Co-Principal Investigator)
  • Lauren Lowman (Co-Principal Investigator)
Recipient Sponsored Research Office: University of California-Irvine
160 ALDRICH HALL
IRVINE
CA  US  92697-0001
(949)824-7295
Sponsor Congressional District: 47
Primary Place of Performance: University of California-Irvine
900 Engineering Tower
Irvine
CA  US  92697-2575
Primary Place of Performance
Congressional District:
47
Unique Entity Identifier (UEI): MJC5FCYQTPE6
Parent UEI: MJC5FCYQTPE6
NSF Program(s): AccelNet - Accelerating Resear
Primary Program Source: 01002122DB NSF RESEARCH & RELATED ACTIVIT
Program Reference Code(s): 5912, 5946, 5948, 7561
Program Element Code(s): 069Y00
Award Agency Code: 4900
Fund Agency Code: 4900
Assistance Listing Number(s): 47.079

ABSTRACT

Changes in temperature and rainfall patterns, increasingly complex wildland-urban interfaces, and human-induced land-use changes have led to unprecedented, enhanced wildfire activities across the world. This design project, iFireNet, will connect clusters of expertise nationally and internationally to accelerate interdisciplinary actionable research on wildfires among academia, agencies, non-profit organizations and stakeholders. The drivers of wildfire behavior are local in nature, yet there are predictive models and management practices that can be applied in different geographic settings. iFireNet will act as a catalyst to integrate the scientific expertise and unique facilities and resources from the U.S., Australia, Canada, Netherlands, and the United Kingdom to address knowledge gaps in the science, engineering, as well as management aspects of wildfires. The international coordination of wildfire researchers will advance capacities to predict and manage wildland fires, thereby minimizing damage to life, nature, and property.

This network of networks will bring an approach currently missing in the wildfire research community that is needed to advance understanding of wildfire behavior, integrated fire risk management, design of prescribed fires, canopy-to-landscape scale forest disturbance, and fire-weather/climate coupling. iFireNet will create (1) synergy among complementary experiments in different geographical settings, (2) a standardized protocol to collect, interpret and share data from these experiments, (3) the basis of model intercomparisons in the context of multi-fidelity fire modeling, (4) a protocol for benchmarking wildfire simulations across multiple scales, and (5) a unified training module that adapts the best practices of local knowledge, yet can be translated in the international setting. The iFireNet web portal will host state-of-the-art predictive models, a comprehensive global database of protocols and standards for multiscale fire experiments, a catalogue of equipment, infrastructure and models, and a knowledge platform providing mentors, collaborators, training tools and opportunities for students and practitioners. iFireNet will train the next generation of wildland fire managers and scientists through the organization of student exchange programs, summer schools, conference chapters and joint mentoring of graduate and professional students. It is envisioned that the diversity of expertise and cross-disciplinary collaborations across academic researchers, federal agencies, non-profit organizations and industries of the participating countries will help solve some of the long-standing questions in the science of wildland fires.

The Accelerating Research through International Network-to-Network Collaborations (AccelNet) program is designed to accelerate the process of scientific discovery and prepare the next generation of U.S. researchers for multiteam international collaborations. The AccelNet program supports strategic linkages among U.S. research networks and complementary networks abroad that will leverage research and educational resources to tackle grand scientific challenges that require significant coordinated international efforts.

This award reflects NSF's statutory mission and has been deemed worthy of support through evaluation using the Foundation's intellectual merit and broader impacts review criteria.

PUBLICATIONS PRODUCED AS A RESULT OF THIS RESEARCH

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(Showing: 1 - 10 of 17)
Baijnath-Rodino, Janine A. and Le, Phong V.V. and Foufoula-Georgiou, Efi and Banerjee, Tirtha "Historical spatiotemporal changes in fire danger potential across biomes" Science of The Total Environment , v.870 , 2023 https://doi.org/10.1016/j.scitotenv.2023.161954 Citation Details
Baijnath-Rodino, Janine A. and Li, Shu and Martinez, Alexandre and Kumar, Mukesh and Quinn-Davidson, Lenya N. and York, Robert A. and Banerjee, Tirtha "Historical seasonal changes in prescribed burn windows in California" Science of The Total Environment , v.836 , 2022 https://doi.org/10.1016/j.scitotenv.2022.155723 Citation Details
Baijnath-Rodino, Janine A. and Martinez, Alexandre and York, Robert A. and Foufoula-Georgiou, Efi and AghaKouchak, Amir and Banerjee, Tirtha "Quantifying the effectiveness of shaded fuel breaks from ground-based, aerial, and spaceborne observations" Forest Ecology and Management , v.543 , 2023 https://doi.org/10.1016/j.foreco.2023.121142 Citation Details
Banerjee, T and Katul, G G and Zahn, E and Dias, N L and BouZeid, E "A Single Compartment Relaxed Eddy Accumulation Method" Journal of Geophysical Research: Atmospheres , v.129 , 2024 https://doi.org/10.1029/2024JD040811 Citation Details
Chowdhuri, Subharthi and Banerjee, Tirtha "Level crossings reveal organized coherent structures in a turbulent time series" Physical Review Fluids , v.9 , 2024 https://doi.org/10.1103/PhysRevFluids.9.014601 Citation Details
Chowdhuri, Subharthi and Banerjee, Tirtha "Quantifying small-scale anisotropy in turbulent flows" Physical Review Fluids , v.9 , 2024 https://doi.org/10.1103/PhysRevFluids.9.074604 Citation Details
Chowdhuri, Subharthi and Banerjee, Tirtha "Revisiting bursts in wall-bounded turbulent flows" Physical Review Fluids , v.8 , 2023 https://doi.org/10.1103/PhysRevFluids.8.044606 Citation Details
Chowdhuri, Subharthi and Ghannam, Khaled and Banerjee, Tirtha "A scale-wise analysis of intermittent momentum transport in dense canopy flows" Journal of Fluid Mechanics , v.942 , 2022 https://doi.org/10.1017/jfm.2022.414 Citation Details
Desai, Ajinkya and Goodrick, Scott and Banerjee, Tirtha "Investigating the turbulent dynamics of small-scale surface fires" Scientific Reports , v.12 , 2022 https://doi.org/10.1038/s41598-022-13226-w Citation Details
Desai, Ajinkya and Guilloteau, Clément and Heilman, Warren E and Charney, Joseph J and Skowronski, Nicholas S and Clark, Kenneth L and Gallagher, Michael R and Foufoula-Georgiou, Efi and Banerjee, Tirtha "Investigating FireAtmosphere Interaction in a Forest Canopy Using Wavelets" Boundary-Layer Meteorology , v.190 , 2024 https://doi.org/10.1007/s10546-024-00862-0 Citation Details
Desai, Ajinkya and Heilman, Warren E. and Skowronski, Nicholas S. and Clark, Kenneth L. and Gallagher, Michael R. and Clements, Craig B. and Banerjee, Tirtha "Features of turbulence during wildland fires in forested and grassland environments" Agricultural and Forest Meteorology , v.338 , 2023 https://doi.org/10.1016/j.agrformet.2023.109501 Citation Details
(Showing: 1 - 10 of 17)

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