WRF-SFIRE user guide

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This guide applies to WRF-SFIRE, available at https://github.com/openwfm/WRF-SFIRE. WRF-Fire from the WRF repository https://github.com/wrf-model/WRF is based on a limited version of this software from 2010, and it has evolved separately since then. This guide changes with the software and it complements the technical description in J. Mandel, J. D. Beezley, and A. K. Kochanski, Coupled atmosphere-wildland fire modeling with WRF 3.3 and SFIRE 2011, Geoscientific Model Development (GMD) 4, 591-610, 2011, doi:10.5194/gmd-4-591-2011 and J. Mandel, S. Amram, J. D. Beezley, G. Kelman, A. K. Kochanski, V. Y. Kondratenko, B. H. Lynn, B. Regev, M. Vejmelka, 2014, Recent advances and applications of WRF–SFIRE, Natural Hazards and Earth System Science, 14, 2829-2845, 2014, doi:10.5194/nhess-14-2829-2014.

Mailing list

Please consider joining the mailing list wrf-sfire@googlegroups.com, which is monitored by the developers. Go to https://googlegroups.com/group/wrf-sfire and log into your google account, or, to join without a google account, send any email to wrf-sfire+subscribe@googlegroups.com.

Overview

  1. WRF-SFIRE

Getting started

  1. Downloading the software
  2. Building the software and running an ideal case

Configuration

  1. namelist.input
  2. namelist.fire
  3. Vertical wind interpolation
  4. Ignition

Running a real case

  1. How to run WRF-SFIRE with real data
  2. Converting fuel data
  3. Using GeoTIFF files

Coupling with fuel moisture and smoke

  1. Fuel moisture model
  2. Assimilation of RAWS fuel moisture data
  3. Coupling with WRF-Chem

Data assimilation and ignition from a perimeter

  1. Fire replay and cycling

Standalone fire model

  1. Running the standalone fire model

Visualisation

  1. VAPOR
  2. Google Earth
  3. Mayavi2
  4. VisTrails
  5. Matlab
  6. Examples and case studies

Diagnostics

  1. Wind profiles
  2. Fuel properties
  3. Loading WRF files into Matlab
  4. WRF variables
  5. SFIRE variables

Publications

  1. Model description
  2. Other publications

Acknowledgements

This work was partially supported by NSF grants including ATM-0835579, DMS-1216481, and ICER-1664175.

See also