A conservative forward-in-time numerical technique to improve the efficienc
y of a fully compressible wildfire model is presented. The technique is bas
ed on a method of averaging (MOA), which allows the costly advective terms
based on a synchronous advection algorithm (e.g., the monotonicity of scala
r fields is preserved) to be computed on a time step several rimes larger t
han would be dictated by the speed of the fastest waves. The MOA technique
is explicit and does not require the use of either direct or iterative solv
ers to invert a matrix; instead the governing equations are solved to first
order within an inner loop in which time-averaged quantities are obtained
for use in a more costly outer loop. A linearized stability analysis of the
entire scheme, including the interaction of gravity wave propagation and m
aterial motion, is presented and numerical stability for a wide range of ph
ysical and numerical parameters is demonstrated. Convergence studies are us
ed to verify that the overall method maintains second-order accuracy. A mod
el to simulate the propagation of the firefront in wildfires is described,
and several calculations are provided to illustrate the application and adv
antages of the MOA in a problem that includes many complex physical process
es.