2005
DOI: 10.1007/s00024-005-2713-8
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Atmospheric Stability Effects on Penman-Monteith Evapotranspiration Estimates

Abstract: This study explores surface-layer stability effects on the Penman-Monteith (P-M) method, one of the most widely used methods to estimate evapotranspiration (ET). Stability correction is applied to the original (neutral stability) formula by using atmospheric exchange coefficients developed by LOUIS et al. (1981). First, the effects of stability on the P-M formula are explored theoretically. ET is then computed from field data using both P-M formulas and the values are compared to measured ET from Bowen-ratio a… Show more

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Cited by 6 publications
(10 citation statements)
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“…Mahrt and Ek (1984) discuss the significance of stability correction in a study based on the Wangara experiment. Otles and Gutowski (2005) also discuss this issue in relation to a modelling study carried out within a semi-arid climate. They tested methods with and without stability correction, and obtained fairly similar results which corresponded closely with lysimeter and flux observations.…”
Section: Comparison With Evapotranspiration Estimatesmentioning
confidence: 98%
“…Mahrt and Ek (1984) discuss the significance of stability correction in a study based on the Wangara experiment. Otles and Gutowski (2005) also discuss this issue in relation to a modelling study carried out within a semi-arid climate. They tested methods with and without stability correction, and obtained fairly similar results which corresponded closely with lysimeter and flux observations.…”
Section: Comparison With Evapotranspiration Estimatesmentioning
confidence: 98%
“…Mukammal et al [19] compared aerodynamic and energy balance techniques to estimate evapotranspiration from a cornfield where they discussed difficulties in using the aerodynamic method in tall crops. Results from Otles and Gutowski [18] showed that under extremely unstable boundary layer conditions, actual evapotranspiration values become smaller than estimated by the original PM formula, because under the same net input energy, the sensible heat flux is considerably larger than under neutral conditions. Thom and Oliver [7] extensively discussed the variation in estimated λE with the stability of the ratio of actual to neutral aerodynamic resistance.…”
Section: Introductionmentioning
confidence: 93%
“…The root-mean-square deviation (RMSD) between λE PM_∆ra and λE PM for the Landsat overpass time on 18 (Figure 7a,d,g,j), indicating strong correlation among estimates, but with strong biases (error) for some of the relaxations. Table 5 compiles summaries for λE PM_∆ra , λE PM_∆ and λE PM_∆RL for different land use class pixels where the percentage change is compared to λE PM based on the simulated T s from BAANS.…”
Section: Latent Heat Flux (λE)mentioning
confidence: 99%
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