Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011. We describe the physical model, numerical algorithms, and software structure of a model consisting of the Weather Research and Forecasting (WRF) model, coupled with the fire-spread model (SFIRE) module. In every time step, the fire model inputs the surface wind, which drives the fire, and outputs the heat flux from the fire into the atmosphere, which in turn influences the atmosphere. SFIRE is implemented by the level set method, which allows a submesh representation of the burning region and a flexible implementation of various kinds of ignition. The coupled model is capable of running on a cluster faster than real time even with fine resolution in dekameters. It is available as a part of the Open Wildland Fire Modeling (OpenWFM) environ- ment at http://openwfm.org, which contains also utilities for visualization, diagnostics, and data processing, including an extended version of the WRF Preprocessing System (WPS). The SFIRE code with a subset of the features is distributed with WRF 3.3 as WRF-Fire.
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References in zbMATH (referenced in 6 articles )
Showing results 1 to 6 of 6.
- Asensio, M. I.; Ferragut, L.; Álvarez, D.; Laiz, P.; Cascón, J. M.; Prieto, D.; Pagnini, G.: PhyFire: an online GIS-integrated wildfire spread simulation tool based on a semiphysical model (2021)
- Asensio-Sevilla, M. I.; Santos-Martín, M. T.; Álvarez-León, D.; Ferragut-Canals, L.: Global sensitivity analysis of fuel-type-dependent input variables of a simplified physical fire spread model (2020)
- Egorova, Vera N.; Trucchia, Andrea; Pagnini, Gianni: Fire-spotting generated fires. I: The role of atmospheric stability (2020)
- Trucchia, A.; Egorova, V.; Pagnini, G.; Rochoux, M. C.: On the merits of sparse surrogates for global sensitivity analysis of multi-scale nonlinear problems: application to turbulence and fire-spotting model in wildland fire simulators (2019)
- Kaur, Inderpreet; Mentrelli, Andrea; Bosseur, Frédéric; Filippi, Jean-Baptiste; Pagnini, Gianni: Turbulence and fire-spotting effects into wild-land fire simulators (2016)
- Mentrelli, Andrea; Pagnini, Gianni: Modelling and simulation of wildland fire in the framework of the level set method (2016)