New findings about the complementary relationship- based evaporation estimation methods
By J. Szilágyi, J. Józsa. 2008
109 citations recorded by the source corpus.
Summary A novel approach has been found to estimate the equilibrium surface temperature ( T e ) of wet environment evaporation ( E w ) on a daily basis. Employing this temperature in the Priestley–Taylor equation as well as in the calculation of the slope of the saturation vapor pressure curve with pan measurements improved the accuracy of long-term mean evaporation ( E ) estimation of the Advection–Aridity (AA) model when validated by Morton’s approach. Complementarity of the potential evaporation ( E p ) and E terms was considered both on a daily and a monthly basis with the involved terms always calculated daily from 30 yr of hourly meteorological measurements of the 1961–1990 period at 210 SAMSON stations across the contiguous US. The followings were found: (a) only the original Rome wind function of Penman yields a truly symmetric Complementary Relationship between E and E p which makes the so-obtained E p estimates true potential evaporation values; (b) the symmetric version of the modified AA model requires no additional parameters to be optimized; (c) for a long-term mean value of evaporation the modified AA model becomes on a par with Morton’s approach not only in practical applicability but also in its improved accuracy, especially in arid environments with possible strong convection; (d) the latter two models yielded long-term mean annual evaporation estimates with an R 2 of 0.95 for the 210 stations, which is all the more remarkable since they employ very different approaches for their E p calculations; (e) with identical apparent E p values the two models yielded practically identical long-term mean annual evaporation rates; (f) with the proper choice of the wind function to estimate apparent E p the long-term mean annual E estimates of the modified AA model are still very close ( R 2 = 0.93) to those of the Morton approach.
Subfields: Atmospheric Science, Global and Planetary Change
View Paper: https://www.semanticscholar.org/paper/721f7aa6899ca15482b350c87d708e9b8752d26d
How researchers see this paper
The researchers whose trusted networks rank it highest, strongest advocate first. Every researcher gets a different order.
In Atmospheric Science
In Global and Planetary Change
Citations in the corpus
- Multi‐model ensemble prediction of terrestrial evapotranspiration across north China using Bayesian model averaging (2016, methodology): “30, 2861–2879 (2016) Taylor coefficient αPT (Hobbins et al., 2001; Xu and Singh, 2005; Szilagyi and Jozsa, 2008; Gao et al., 2011) or the proportionality constant b (Kahler and Brutsaert, 2006; Szilagyi, 2007; Szilagyi et al., 2009; Han et al., 2012) Copyright © 2016 John Wiley & Sons, Ltd. should…”
- Revised Coefficients for Priestley-Taylor and Makkink-Hansen Equations for Estimating Daily Reference Evapotranspiration (2011, background): “Here ET (mm day -1 ) is the evapotranspiration rate of an extensive wet surface, Rn is the net radiation expressed in water depth equivalent of mm day -1 , γ is the psychrometric constant (hPa K -1 ), and Δ (hPa K -1 ) the slope of the saturation vapor pressure curve to be evaluated at the air tempe”
- A nonlinear function approach for the normalized complementary relationship evaporation model (2012, background): “The variations in the proportionality b were thought to be related to the temperature (Szilagyi, 2007; Szilagyi and Jozsa, 2008) or the surface resistance (Lhomme, 1997; McNaughton and Spriggs, 1989) of the evaporating surface, or the entrainment of dry air within the convective boundary layer…”
- A review of the complementary principle of evaporation: from the original linear relationship to generalized nonlinear functions (2020, methodology): “However, Epa and Ep0 still need to be formulated before applying the polynomial function to practical problems (Brutsaert, 2015).”