At which time scale does the complementary principle perform best on evaporation estimation?

Wang, Liming; Han, Songjun

doi:10.5194/hess-2020-379

Cited by 2 publications

(2 citation statements)

References 33 publications

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“…At the daily timescales, the conditions with

E_{rad}

much less than

E_{aero}

(the available energy is very small) and the conditions with near saturated atmosphere (the relative humidity approaches 100%) probably exist. Thus, combined with the fact that the SGC equation is insensitive to

x_{min}

and

x_{max}

, they are suggested to be 0 and 1, respectively (Han & Tian, 2018a; Han et al., 2012; Wang et al., 2021). Given Equation and using

x_{min} = 0

and

x_{max} = 1.0

, Equation has two independent parameters

α_{H T}

and b .…”

Section: Wet Surface Sgc Equation Accounting For Varying αPtmentioning

confidence: 99%

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Sigmoid Generalized Complementary Equation for Evaporation Over Wet Surfaces: A Nonlinear Modification of the Priestley‐Taylor Equation

Han

Tian

Wang

et al. 2021

Water Resources Research

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The deviations of the Priestley‐Taylor (PT) coefficient from a fixed value around 1.26 indicate a nonlinear dependence of wet surface evaporation (E) on the equilibrium evaporation (Erad, which is the radiation term in Penman potential evaporation [EPen]). The linear PT equation with a fixed coefficient underestimates E for small Erad but overestimates E for large Erad, whereas the Penman equation with calibrated linear wind function has the opposite bias. In this study, the sigmoid generalized complementary (SGC) equation by Han and Tian (2018a), https://doi.org/10.1029/2017wr021755 was applied to estimate the wet surface evaporation by setting its asymmetric parameter to infinity. The SGC equation with one fixed parameter captures the nonlinear dependence of E on Erad over wet surfaces by including the aerodynamic component of EPen with a reference wind function, and amends the shortages of the linear PT and Penman equation. By using datasets over open water surfaces of lakes and ocean, wetlands, and paddy fields, the validation results indicate that the wet surface SGC equation performed better than the linear PT and Penman equations on evaporation estimation. The success of the wet surface SGC equation has implications for the extension of the complementary principle to consider varying aerodynamic conditions over wet surfaces.

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“…At the daily timescales, the conditions with

E_{rad}

much less than

E_{aero}

x_{min}

and

x_{max}

, they are suggested to be 0 and 1, respectively (Han & Tian, 2018a; Han et al., 2012; Wang et al., 2021). Given Equation and using

x_{min} = 0

and

x_{max} = 1.0

, Equation has two independent parameters

α_{H T}

and b .…”

Section: Wet Surface Sgc Equation Accounting For Varying αPtmentioning

confidence: 99%

“…HAN ET AL. x , they are suggested to be 0 and 1, respectively (Han & Tian, 2018a;Han et al, 2012;Wang et al, 2021). Given Equation 10 and using min 0…”

Section: Wet Surface Sgc Equationmentioning

confidence: 99%