Submitted to: American Geophysical Union
Publication Type: Abstract Only
Publication Acceptance Date: December 10, 2000
Publication Date: December 31, 2000
ESTAR derived soil moisture at 800 m pixel resolution together with land use and fractional vegetation cover information were used in a remote sensing model (called the Two-Source Energy Balance-soil moisture, TSEBsm, model) for computing spatially distributed fluxes over the Southern Great Plains 97 (SGP97) domain. With regional maps near-surface soil moisture and dthe heat fluxes, spatial correlations were computed for evaluating the influence of near-surface soil moisture on the turbulent fluxes. It is found that for the whole SGP97 domain, correlations between surface moisture and evapotranspiration range from 0.4 to 0.6 while correlations with sensible heat vary from -0.3 to -0.7. These correlations vary with day/moisture conditions, but even more significantly depending on the area selected within the SGP97 domain. Output of the heat fluxes over the SGP97 domain for one day are compared to the Atmosphere-land Exchange Inversion (ALEXI) model output at 5 km resolution. The variation in heat fluxes with TSEBsm were larger than ALEXI, but the domain average sensible heat differed by less than 5%, while for evapotranspiration the difference was within 15%. The TSEBsm model was run at ALEXI resolution; the output was compared with the output obtained at fine scale and the output from the ALEXI model. The model input parameters were aggregated to different resolution levels and the influence of spatial resolution and scaling of model input and output was investigated in the context of heat fluxes.