  Atmospheric pollution regulations have emerged as a dominant obstacle to
prescribed burns. Thus, forecasting the pollution caused by wildland fires has
acquired high importance. WRF and SFIRE model wildland fire spread in a two-way
interaction with the atmosphere. The surface heat flux from the fire causes
strong updrafts, which in turn change the winds and affect the fire spread.
Fire emissions, estimated from the burning organic matter, are inserted in
every time step into WRF-Chem tracers at the lowest atmospheric layer. The
buoyancy caused by the fire then naturally simulates plume dynamics, and the
chemical transport in WRF-Chem provides a forecast of the pollution spread. We
discuss the choice of wood burning models and compatible chemical transport
models in WRF-Chem, and demonstrate the results on case studies.
