Hi Ed,
Here is the brief story... The "nudging" approach in Kalnay has been proposed as a first, rudimentary step in "data assimilation" in FDS. The main user has been one of our colleagues here at NIST who is working on pollutant dispersion in urban areas. In short, the method is very much in the research stage. What I can tell you is that DT_MEAN_FORCING is the "tau" in Kalnay's nudging approach. You can easily see in the code that the forcing function is a simple relaxation toward the target velocity value:
DU_FORCING = (UBAR-UMEAN)/DT_MEAN_FORCING
UBAR is the target
UMEAN is the current mean for the U component
In the very early stages we set DT_MEAN_FORCING by default. But, as the method was being used we quickly noticed that the time scale can greatly affect the results for time-dependent mean flows, that is, if the mean wind speed is a function of time.
Here is an example from our verification suite:
The reason to set the default to a large value is to force the user to think about what this value should be for their problem. The FDS developers can't know a priori. There is not much more to it than that, at this point. I do not plan to write this up in more detail until it is better understood, because anything written in our guides may get misconstrued as "validated".
Randy