Comparison of Some Reference Evapotranspiration Equations for California

By B. Temesgen, S. Eching, B. Davidoff, K. Frame. 2005

254 citations recorded by the source corpus.

Subfields: Artificial Intelligence, Environmental Engineering, Global and Planetary Change

View Paper: https://www.semanticscholar.org/paper/188fef897a4cba43c5c60f8cdcc84162bcd6edfa

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Citations in the corpus

Modelling the dynamics of the evapotranspiration process using genetic programming (2007, methodology): “The hourly FAO-PM (Temesgen et al., 2005) equation is given by equation (7): ( ) ( ) )34.01( 273 37408.0 0 WSγΔ eeWS AT γGRΔ ET a n ++ − + +− = (7) where Rn is net radiation at the grass surface (MJ m-2 h-1), G is soil heat flux density (MJ m-2 h-1), Δ is the saturation slope vapour pressure curve…”
Parametric expressions for the adjusted Hargreaves coefficient in Eastern Spain (2015, background): “Several 102 researchers have found over- and underestimation trends in humid and dry scenarios, or 103 under advective conditions (among others, Jensen et al., 1990; Itenfisu et al., 2003; 104 Berengena and Gavilán, 2005; Temesgen et al., 2005; Trajkovic, 2007).”
Evaluation of the impact of surface residue cover on single and dual crop coefficient for estimating soybean actual evapotranspiration (2012, background): “Many studies show that the Penman–Monteith equation is able to estimate ETo from weather data under diverse climatic conditions with a reasonable accuracy (Amatya et al., 1995; Ventura et al., 1999; Irmak et al., 2008; Temesgen et al., 2005; Yoder et al., 2005; Lopez-Urrea et al., 2006).”
Prediction of annual reference evapotranspiration using climatic data (2010, methodology): “The equation has been accepted globally as a good ETo estimator when compared with other methods (Blaney and Criddle, 1950; Allen, 1996; Garcia et al., 2004; Sumner and Jacobs, 2005; Temesgen et al., 2005; Alexandris et al., 2006; Donatelli et al., 2006; Gong et al., 2006; Cai et al., 2007).”
Reference grass evapotranspiration with reduced data sets: Parameterization of the FAO Penman-Monteith temperature approach and the Hargeaves-Samani equation using local climatic variables (2020, background): “However, since it does not account for the effects of wind speed and humidity, it is less accurate in humid climates (Nandagiri and Kovoor, 2006; Trajkovic and Kolakovic, 2009; Martinez and Thepadia, 2010; Tabari, 2010), under high wind speeds (Temesgen et al., 2005; Gavilán et al., 2006; Raziei and”
Crop Evapotranspiration (ET) Estimation Models: A Review and Discussion of the Applicability and Limitations of ET Methods (2015, methodology): “Temesgen et al. (2005) showed that the CIMIS Penman method correlated well with the FAO 56 PM equation for daily time step and with the ASCE Standardized equation (ASCE EWRI, 2005) for both daily and hourly time steps for 37 different studied sites in the state of California, USA.”
Evaluation of 13 Empirical Reference Potential Evapotranspiration Equations on the Island of Crete in Southern Greece (2011, methodology): “By contrast, in the semiarid environment of California (Temesgen et al. 2005) and of Iran (DehghaniSanij et al. 2004) the PETHar equation performed well relative to other empirical and physical equations, despite the simplicity of the formula which only requires air temperature data.”