Temperature-based approaches for estimating reference evapotranspiration
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[1] Narendra Singh Raghuwanshi,et al. Estimating Evapotranspiration using Artificial Neural Network , 2002 .
[2] R. L. Snyder,et al. An evaluation of common evapotranspiration equations , 1999, Irrigation Science.
[3] T. Hata,et al. Estimation of crop water requirements in arid region using Penman–Monteith equation with derived crop coefficients: a case study on Acala cotton in Sudan Gezira irrigated scheme , 2000 .
[4] Jooyoung Park,et al. Universal Approximation Using Radial-Basis-Function Networks , 1991, Neural Computation.
[5] Devendra M. Amatya,et al. Comparison of methods for estimating REF-ET , 1995 .
[6] Slobodan P. Simonovic,et al. Estimation of missing streamflow data using principles of chaos theory , 2002 .
[7] R. Snyder,et al. Data error effects on net radiation and evapotranspiration estimation , 1998 .
[8] Mladen Todorovic,et al. Single-Layer Evapotranspiration Model with Variable Canopy Resistance , 1999 .
[9] Peter E. Thornton,et al. Simultaneous estimation of daily solar radiation and humidity from observed temperature and precipitation: an application over complex terrain in Austria. , 2000 .
[10] Suat Irmak,et al. Daily Grass and Alfalfa-Reference Evapotranspiration Estimates and Alfalfa-to-Grass Evapotranspiration Ratios in Florida , 2003 .
[11] A. Martínez-cob,et al. A wind-based qualitative calibration of the Hargreaves ET0 estimation equation in semiarid regions , 2004 .
[12] D. Sharma,et al. Determination of evapotranspiration for maize and berseem clover , 2002, Irrigation Science.
[13] Vladan Babovic,et al. Neural networks as routine for error updating of numerical models , 2001 .
[14] Daniel C. Yoder,et al. Optimization of Fuzzy Evapotranspiration Model Through Neural Training with Input-Output Examples , 2001 .
[15] L. S. Pereira,et al. Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .
[16] Hossein Dehghanisanij,et al. Assessment of evapotranspiration estimation models for use in semi-arid environments , 2004 .
[17] Ahmed S. A. Hussein,et al. Grass ET Estimates Using Penman-Type Equations in Central Sudan , 1999 .
[18] Richard G. Allen,et al. Assessing Integrity of Weather Data for Reference Evapotranspiration Estimation , 1996 .
[19] M. Beyazgül,et al. Estimation methods for crop water requirements in the Gediz Basin of western Turkey. , 2000 .
[20] R. G. Allen,et al. Computation of ETo under Nonideal Conditions , 1997 .
[21] Juan Vicente Giráldez,et al. Assessing Reference Evapotranspiration by the Hargreaves Method in Southern Spain , 2004 .
[22] C. W. Thornthwaite. An approach toward a rational classification of climate. , 1948 .
[23] George H. Hargreaves,et al. Irrigation Water Requirements for Senegal River Basin , 1985 .
[24] Branimir Todorovic,et al. Forecasting of Reference Evapotranspiration by Artificial Neural Networks , 2003 .
[25] Holger R. Maier,et al. Empirical comparison of various methods for training feed‐Forward neural networks for salinity forecasting , 1999 .
[26] R. Allen,et al. Evapotranspiration and Irrigation Water Requirements , 1990 .
[27] S. Running,et al. An improved method for estimating surface humidity from daily minimum temperature , 1997 .
[28] Kuolin Hsu,et al. Artificial Neural Network Modeling of the Rainfall‐Runoff Process , 1995 .
[29] J. Cavero,et al. Comparing Penman-Monteith and Priestley-Taylor approaches as reference-evapotranspiration inputs for modeling maize water-use under Mediterranean conditions , 2004 .
[30] R. Allen,et al. History and Evaluation of Hargreaves Evapotranspiration Equation , 2003 .
[31] Richard G. Allen,et al. Self-Calibrating Method for Estimating Solar Radiation from Air Temperature , 1997 .
[32] Inmaculada Pulido-Calvo,et al. Demand Forecasting for Irrigation Water Distribution Systems , 2003 .
[33] A. W. Jayawardena,et al. Runoff Forecasting Using RBF Networks with OLS Algorithm , 1998 .
[34] K. P. Sudheer,et al. Estimating Actual Evapotranspiration from Limited Climatic Data Using Neural Computing Technique , 2003 .
[35] B. Todorovic,et al. Structurally adaptive RBF network in nonstationary time series prediction , 2000, Proceedings of the IEEE 2000 Adaptive Systems for Signal Processing, Communications, and Control Symposium (Cat. No.00EX373).