2007
DOI: 10.1016/j.jhydrol.2006.11.010
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Monin–Obukhov length as a cornerstone of the SEBAL calculations of evapotranspiration

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Cited by 18 publications
(13 citation statements)
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“…The roughness height for momentum transfer (z 0m ) and the zero displacement height (d 0 ) play a vital role in the Monin-Obukhov Similarity theory (MOS) (Equations (3) and (4)). These two parameters significantly influence the momentum transfer between the evaporating surface and the atmosphere [12]; z 0m is the height up to which the momentum transfer is affected by surface characteristics [18]. Despite that this parameter is related to wind speed, atmospheric stratification and other factors, z 0m can be considered as a constant value over water bodies [19].…”
Section: Water Heat Flux (G 0w )mentioning
confidence: 99%
See 1 more Smart Citation
“…The roughness height for momentum transfer (z 0m ) and the zero displacement height (d 0 ) play a vital role in the Monin-Obukhov Similarity theory (MOS) (Equations (3) and (4)). These two parameters significantly influence the momentum transfer between the evaporating surface and the atmosphere [12]; z 0m is the height up to which the momentum transfer is affected by surface characteristics [18]. Despite that this parameter is related to wind speed, atmospheric stratification and other factors, z 0m can be considered as a constant value over water bodies [19].…”
Section: Water Heat Flux (G 0w )mentioning
confidence: 99%
“…Not simulating or predicting these processes properly can even lead to large-scale economic problems. For example, a large decrease in air temperature caused by lower-salinity (and consequently low-temperature) ocean currents may lead to a delay of the spring phytoplankton growth [12], directly affecting the zooplankton growth and fish recruitment.…”
Section: Introductionmentioning
confidence: 99%
“…The soil heat flux was computed using a relationship between the net radiation, surface temperature, surface albedo and NDVI, Kustas, et al, 2004 ⎟ Koloskov (2007), however, observed that, over a 24-hour period, the soil heat flux could relatively be small and can be ignored without introducing significant errors in the computation process.…”
Section: Soil Heat Fluxmentioning
confidence: 99%
“…Kriging approaches are commonly considered favourable when compared to local approaches such as inverse distance and isohyets procedures. Kriging approaches are based on the theory of regionalized variables (Journel and Huijbregts 1978;Goovaerts 1999;Sen and Habib 2000) and rely on a semi-variogram that describes spatial dependency between observations. Furthermore, estimates are not largely affected by the presence of clustered data and as such Kriging algorithms are called Best Linear Unbiased Estimators (BLUE).…”
Section: Introductionmentioning
confidence: 99%