Discussion

          There are often wide discrepancies between ET values calculated using MODIS data via the Penman-Monteith formula and those calculated using weather station data via the Kimberly-Penman equation. The reasons for this discrepancy are not immediately apparent. A previous study suggested that performance of the Penman-Monteith formula in arid conditions is erratic and tends to underestimate evapotranspiration (Allen, et al., 1998).

          MODIS data has the advantage of incorporating a wide variety of parameters specific to the landscape in the analysis of ra and rs to compute ET using the Penman-Monteith formula most effectively. These parameters include land cover classification, vegetation cover fraction, albedo, aerodynamic resistance, leaf stomatal conductance, among others. Eddy covariance data is also included in the analysis to produce more accurate values of ET. In contrast, using the Kimberly-Penman equation is limited in that the weather stations used for this study may not be in environments in which this equation would be useful, as they are not alfalfa fields or crop fields. More measurements of ET at these locations would be needed to calibrate the Penman-Monteith formula for the specific conditions observed.

A person standing on a dry grass field

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