A wildland fire modeling and visualization environment
Jan Mandel, Jonathan D. Beezley, Adam K. Kochanski, Volodymyr Y. Kondratenko, Lin Zhang, Erik Anderson, Joel Daniels, Claudio T. Silva, Christopher R. Johnson
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12 pages; Ninth Symposium on Fire and Forest Meteorology, Palm Springs, CA, October 2011
We present an overview of a modeling environment, consisting of a coupled atmosphere-wildfire model, utilities for visualization, data processing, and diagnostics, open source software repositories, and a community wiki. The fire model, called SFIRE, is based on a fire-spread model, implemented by the level-set method, and it is coupled with the Weather Research Forecasting (WRF) model. A version with a subset of the features is distributed with WRF 3.3 as WRF-Fire. In each time step, the fire module takes the wind as input and returns the latent and sensible heat fluxes. The software architecture uses WRF parallel infrastructure for massively parallel computing. Recent features of the code include interpolation from an ideal logarithmic wind profile for nonhomogeneous fuels and ignition from a fire perimeter with an atmosphere and fire spin-up. Real runs use online sources for fuel maps, fine-scale topography, and meteorological data, and can run faster than real time. Visualization pathways allow generating images and animations in many packages, including VisTrails, VAPOR, MayaVi, and Paraview, as well as output to Google Earth. The environment is available from openwfm.org. New diagnostic variables were added to the code recently, including a new kind of fireline intensity, which takes into account also the speed of burning, unlike Byram's fireline intensity.
Computational modeling of extreme wildland fire events: a synthesis of scientific understanding with applications to forecasting, land management, and firefighter safety
Earth Research Institute, University of California Santa Barbara（加州大学圣塔芭芭拉分校地球研究所）；Department of Scientific Computing, Florida State University（佛罗里达州立大学科学计算系）；Department of Earth, Ocean, and Atmospheric Science, Florida State University（佛罗里达州立大学地球、海洋与大气科学系）
本章结合多场景观测数据，构建从简单到全物理层级的 ember 输送模型，阐释其迁移物理原理并关联统计模型，为野外火灾研究提供建模支撑。
我们介绍了几个有用的实用程序，在开发中使用WRF和SFIRE的真实荒地火灾模拟的创建和分析。这些实用程序作为独立的程序和脚本以及对其他知名软件的扩展而存在。Python web scraper自动化了从公共源下载和预处理大气和地表数据的过程。其他脚本通过自动创建参数文件来简化域设置。与Google Earth的集成允许用户在3D环境中探索模拟以及真实的表面图像。后处理脚本为用户提供了许多与许多常用可视化套件兼容的输出数据格式，允许创建高质量的3D渲染。总的来说，这些改进是为了建立一个统一的Web应用程序，为科学家和用户带来一个复杂的野火建模环境。
