The method developed allows the estimation of aggregate surface temperature (Ts) and sensible heat flux (Hs) (as well as other parameters) over a GCM-scale grid surrounding the SHEBA site during a two-month-long period on an hourly basis for both clear and cloudy conditions. The best estimate for the average aggregate Hs is 6.2 W m-2 greater than the simultaneous average Hs value on the multi-year ice (MYI) at the SHEBA site. The aggregate Hs are typically greater than the MYI values for both cloudy and clear conditions. This difference is less than the 10-12 W m-2 difference suggested by most of the AVHRR assessments by Overland et al. (2002), which was done for only clear-sky conditions. The new method also obtains these larger differences if only the clear-sky times of the AVHRR measurements are used.
A consistent application of three different assumptions regarding the heat transfer coefficient (CH) in the 1-D model and the aggregation methods suggests that the computation of CH based on local stability is inappropriate because the resulting Ts are too cold. The differences in the aggregate Hs between the other two assumptions are much smaller than suggested by static aggregation applications to a given spatial Ts distribution.
The SAR/1D technique is also capable of providing spatial fields of snow depth and ice thickness. The heterogeneity in these two parameters produces the large variability in Ts, which in turn may produce mesoscale circulations in the atmospheric boundary layer. Such fields are needed as a lower boundary condition to 3-D mesoscale models.