This study evaluates the issues of soil moisture coupling on the partitioni
ng of surface fluxes at the diurnal timescale over a mesoscale domain from
the First International Satellite Land Surface Climatology Project Field Ex
periment (FIFE) in Kansas. A state-of-the-art atmospheric model (the Fifth-
Generation Pennsylvania State University-National Center for Atmospheric Re
search Mesoscale Model. or MM5) is used as a control run in which soil mois
ture is prescribed by a time-invariant as well as time-varying moisture ava
ilability function. Then, in a coupled model simulation, the atmospheric mo
del is coupled with a detailed land surface model. Three days are simulated
with progressively smaller surface soil moisture conditions to identify th
e influence of interactive soil moisture on surface fluxes partitioning at
the diurnal timescale. Preliminary results suggest that, for days with wett
er surface soil moisture conditions and moderately high wind speed, a time-
variant interactive soil moisture representation provides a more accurate p
artitioning of surface fluxes. For drier surface conditions with relatively
low wind speed, a constant soil moisture availability function may be adeq
uate.