DOI: 10.1002/2017MS001108
Scopus记录号: 2-s2.0-85044737354
论文题名: An Accurate Fire-Spread Algorithm in the Weather Research and Forecasting Model Using the Level-Set Method
作者: Muñoz-Esparza D ; , Kosović B ; , Jiménez P ; A ; , Coen J ; L
刊名: Journal of Advances in Modeling Earth Systems
ISSN: 19422466
出版年: 2018
语种: 英语
英文关键词: Clustering algorithms
; Drop breakup
; Fires
; Fuels
; Level measurement
; Runge Kutta methods
; Weather forecasting
; Artificial viscosity
; High-order discretizations
; Level Set method
; Level set reinitialization
; Temporal integration
; Weather research and forecasting models
; Wildland fire
; WRF fires
; Numerical methods
英文摘要: The level-set method is typically used to track and propagate the fire perimeter in wildland fire models. Herein, a high-order level-set method using fifth-order WENO scheme for the discretization of spatial derivatives and third-order explicit Runge-Kutta temporal integration is implemented within the Weather Research and Forecasting model wildland fire physics package, WRF-Fire. The algorithm includes solution of an additional partial differential equation for level-set reinitialization. The accuracy of the fire-front shape and rate of spread in uncoupled simulations is systematically analyzed. It is demonstrated that the common implementation used by level-set-based wildfire models yields to rate-of-spread errors in the range 10-35% for typical grid sizes (Δ=12.5-100 m) and considerably underestimates fire area. Moreover, the amplitude of fire-front gradients in the presence of explicitly resolved turbulence features is systematically underestimated. In contrast, the new WRF-Fire algorithm results in rate-of-spread errors that are lower than 1% and that become nearly grid independent. Also, the underestimation of fire area at the sharp transition between the fire front and the lateral flanks is found to be reduced by a factor of ≈7. A hybrid-order level-set method with locally reduced artificial viscosity is proposed, which substantially alleviates the computational cost associated with high-order discretizations while preserving accuracy. Simulations of the Last Chance wildfire demonstrate additional benefits of high-order accurate level-set algorithms when dealing with complex fuel heterogeneities, enabling propagation across narrow fuel gaps and more accurate fire backing over the lee side of no fuel clusters. © 2018. The Authors. Citation statistics:
资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/75662
Appears in Collections: 影响、适应和脆弱性 气候变化与战略
There are no files associated with this item.
作者单位: National Center for Atmospheric ResearchBoulder, CO USA
Recommended Citation:
Muñoz-Esparza D,, Kosović B,, Jiménez P,et al. An Accurate Fire-Spread Algorithm in the Weather Research and Forecasting Model Using the Level-Set Method[J]. Journal of Advances in Modeling Earth Systems,2018-01-01