A STUDY OF A FAIR WEATHER BOUNDARY-LAYER IN TOGA-COARE - PARAMETERIZATION OF SURFACE FLUXES IN LARGE-SCALE AND REGIONAL MODELS FOR LIGHT WIND CONDITIONS
S. Mondon et Jl. Redelsperger, A STUDY OF A FAIR WEATHER BOUNDARY-LAYER IN TOGA-COARE - PARAMETERIZATION OF SURFACE FLUXES IN LARGE-SCALE AND REGIONAL MODELS FOR LIGHT WIND CONDITIONS, Boundary - layer meteorology, 88(1), 1998, pp. 47-76
The study focuses on a way to parameterize the effect of subgrid scare
convective motions on surface fluxes in large scale and regional mode
ls for the case of light surface winds. As previously proposed, these
subgrid effects are assumed to scale with the convection intensity thr
ough the relationship: (U) over bar(2) = U-0(2) + (beta w)(2) where (
U) over bar is the mean velocity of the wind, U-0 the velocity of the
mean wind, w, the free convection velocity, and beta an empirical coe
fficient to be determined. Both observations and numerical simulation
are presently used to determine the free convection coefficient beta.
Large eddy simulation of a fair weather convective boundary layer case
observed during TOGA-COARE is performed. Comparisons between observat
ions and the simulation of surface properties and vertical profiles in
the planetary boundary layer are presented. The simulated vertical tu
rbulent fluxes of heat, moisture and buoyancy range well within estima
tes from aircraft measurements. The most important result is that the
'true' free convection coefficient beta, directly estimated from simul
ation, leads to a value of 0.65, smaller than the ones estimated from
temporal and spatial variances. Using observations and simulation, est
imates of beta from temporal and spatial variances are obtained with s
imilar values approximate to 0.8. From both theoretical derivations an
d numerical computations, it is shown that estimates of the 'true' bet
a from variances are possible but only after applying a correction fac
tor equal to 0.8. If this correction is not used, beta is overestimate
d by about 25%. The time and space sampling problem is also addressed
in using numerical simulations.