Estimation of evaporation using the surface energy balance system (SEBS) and numerical models.
Ershadi, A., McCabe, M.F., Evans, J.P., Walker, J.P., Pipunic, R.
3rd International Symposium on Remote Sensing of Environment, Sydney, Australia, 10-15 April 2011.
This study estimates evaporation using the
Surface Energy Balance System (SEBS) method over an
agricultural region in the Murrumbidgee Irrigation Area of
NSW, Australia. Evaporation is estimated as latent heat flux
using the standard Monin-Obukhov Similarity Theory
(MOST) equations of SEBS and meteorological observations
form an eddy-covariance system. Landsat and MODIS
satellite data coincident with the period of in-situ flux
measurements are used to examine the spatial variability of
evaporation measurements. To extend the investigation,
atmospheric forcing data from recent simulations of the
Weather Research and Forecasting (WRF) model are used. A
comparison at the point scale is made between observed
eddy-covariance, modeled WRF predictions, and calculated
SEBS values. In addition, the spatial variability of
evaporation from the Landsat and MODIS images are
compared against WRF results. Results show good estimation
of the sensible heat flux using Landsat, MODIS, and WRF
data, but estimation of the latent heat flux are not comparable
with observations due to non-closure issues.
Key Figure
Figure 3: λE from TMWF scenario [Wm-2]
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Last updated 31st January 2013