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Fire Behaviour and Smoke Modelling: Model Improvement and Measurement Needs for Next-generation Smoke Research and Forecasting Systems
International Journal of Wildland Fire (2019)
  • Yongqiang Liu, United States Department of Agriculture
  • Adam Kochanski, The University of Utah
  • Kirk R. Baker, United States Environmental Protection Agency
  • William E. Mell, USDA Forest Service Pacific Northwest Research Station, Pacific Wildland Fire Sciences Laboratory
  • Rodman Linn, Los Alamos National Laboratory
  • Ronan Paugam, CNRS Centre National de la Recherche Scientifique
  • Jan Mandel, University of Colorado at Denver
  • Aimé Fournier, University of Colorado at Denver
  • Mary Ann Jenkins, The University of Utah
  • Scott L. Goodrick, USDA Forest Service
  • Gary Achtemeier, Center for Forest Disturbance Science
  • Fengjun Zhao, Chinese Academy of Forestry
  • Roger D. Ottmar, US Forest Service, Pacific Northwest Research Station, Pacific Wildland Fire Sciences Laboratory
  • Nancy H. F. French, Michigan Technological University
  • Narasimhan K. Larkin, Pacific Northwest Research Station
  • Timothy J. Brown, Desert Research Institute
  • Andrew T. Hudak, USDA ARS Moscow Forestry Sciences Lab
  • Matthew B. Dickinson, USDA Forest Service, Washington
  • Brian E. Potter, USDA Forest Service Pacific Northwest Research Station, Portland
  • Craig B. Clements, San Jose State University
  • Shawn Urbanski, USDA ARS Rocky Mountain Research Station, Missoula
  • Susan Prichard, University of Washington - Seattle Campus
  • Adam C. Watts, Desert Research Institute
  • Derek McNamara, Geospatial Measurement Solutions, LLC
Abstract
There is an urgent need for next-generation smoke research and forecasting (SRF) systems to meet the challenges of the growing air quality, health and safety concerns associated with wildland fire emissions. This review paper presents simulations and experiments of hypothetical prescribed burns with a suite of selected fire behaviour and smoke models and identifies major issues for model improvement and the most critical observational needs. The results are used to understand the new and improved capability required for the next-generation SRF systems and to support the design of the Fire and Smoke Model Evaluation Experiment (FASMEE) and other field campaigns. The next-generation SRF systems should have more coupling of fire, smoke and atmospheric processes. The development of the coupling capability requires comprehensive and spatially and temporally integrated measurements across the various disciplines to characterise flame and energy structure (e.g. individual cells, vertical heat profile and the height of well-mixing flaming gases), smoke structure (vertical distributions and multiple subplumes), ambient air processes (smoke eddy, entrainment and radiative effects of smoke aerosols) and fire emissions (for different fuel types and combustion conditions from flaming to residual smouldering), as well as night-time processes (smoke drainage and super-fog formation). © 2019 IAWF.
Keywords
  • burn plan and measurement design,
  • CMAQ,
  • Daysmoke,
  • FIRETEC,
  • WFDS,
  • WRF-SFIRE-CHEM
Publication Date
2019
DOI
10.1071/WF18204
Publisher Statement
SJSU users: Use the following link to login and access this article via SJSU databases
Citation Information
Yongqiang Liu, Adam Kochanski, Kirk R. Baker, William E. Mell, et al.. "Fire Behaviour and Smoke Modelling: Model Improvement and Measurement Needs for Next-generation Smoke Research and Forecasting Systems" International Journal of Wildland Fire Vol. 28 Iss. 8 (2019) p. 570 - 588
Available at: http://works.bepress.com/craig_clements/53/