Analysis of potential evapotranspiration using 11 modified temperature-based models

The evapotranspiration was estimated using 11 temperature-based models and was compared with the FAO Penman-Monteith model. The results showed that the modified Hargreaves-Samani models estimate the evapotranspiration better than the other models in the most provinces of Iran. However, the values of R2 were less than 0.98 for 15 provinces of Iran. Therefore, the models were calibrated and precision of estimation was increased (the values of R2 were less than 1.00 (with respect to two decimal numbers) for only five provinces in the modified models). The temperature-based models estimated the evapotranspiration in the north east and south west provinces of Iran better than other provinces. The best precise methods were the modified Hargreaves-Samani 1 method for AL (before calibration) and the Hargreaves-Samani method for AR, the Modified Hargreaves-Samani 2 method for SE and GH, the modified Hargreaves-Samani 1 for FA, and the modified Hargreaves-Samani 3 for MZ (after calibration).

[1]  Mohammad Valipour,et al.  Temperature analysis of reference evapotranspiration models , 2015 .

[2]  Mohammad Valipour,et al.  Estimation of actual evapotranspiration by using MODIS images (a case study: Tajan catchment) , 2015 .

[3]  Mohammad Valipour,et al.  Study of different climatic conditions to assess the role of solar radiation in reference crop evapotranspiration equations , 2015 .

[4]  M. Valipour.  Importance of solar radiation, temperature, relative humidity, and wind speed for calculation of reference evapotranspiration , 2015 .

[5]  Mohammad Valipour,et al.  Analysis of potential evapotranspiration using limited weather data , 2017, Applied Water Science.

[6]  Mohammad Valipour,et al.  Investigation of Valiantzas’ evapotranspiration equation in Iran , 2015, Theoretical and Applied Climatology.

[7]  Mohammad Valipour,et al.  Evaluation of radiation methods to study potential evapotranspiration of 31 provinces , 2015, Meteorology and Atmospheric Physics.

[8]  Mohammad Valipour,et al.  Use of average data of 181 synoptic stations for estimation of reference crop evapotranspiration by temperature-based methods , 2014, Water Resources Management.

[9]  Mohammad Valipour,et al.  Application of new mass transfer formulae for computation of evapotranspiration , 2014 .

[10]  J. Kriaučiūnienė,et al.  Assessment of uncertainty in estimating the evaporation from the Curonian Lagoon , 2013 .

[11]  J. Valiantzas.  Simplified forms for the standardized FAO-56 Penman-Monteith reference evapotranspiration using limited weather data , 2013 .

[12]  Yujiu Xiong,et al.  Estimation of evapotranspiration and its partition based on an extended three-temperature model and MODIS products , 2013 .

[13]  S. Walker,et al.  Comparison of the Hargreaves and Samani equation and the Thornthwaite equation for estimating dekadal evapotranspiration in the Free State Province, South Africa , 2013 .

[14]  Thomas Pütz,et al.  Estimating Precipitation and Actual Evapotranspiration from Precision Lysimeter Measurements , 2013 .

[15]  Bhabagrahi Sahoo,et al.  Standardization of Reference Evapotranspiration Models for a Subhumid Valley Rangeland in the Eastern Himalayas , 2012 .

[16]  Jun Wen,et al.  Effect of pixel scale on evapotranspiration estimation by remote sensing over oasis areas in north-western China , 2012, Environmental Earth Sciences.

[17]  Alireza Firoozfar,et al.  Estimating Penman–Monteith Reference Evapotranspiration Using Artificial Neural Networks and Genetic Algorithm: A Case Study , 2012 .

[18]  C. Martinez,et al.  Regional Calibration of Solar Radiation and Reference Evapotranspiration Estimates with Minimal Data in Florida , 2012 .

[19]  S. Eslamian,et al.  Effect of climate change on potential evapotranspiration: a case study on Gharehsoo sub-basin, Iran , 2012 .

[20]  Mohammad Valipour.  HYDRO-MODULE DETERMINATION FOR VANAEI VILLAGE IN ESLAM ABAD GHARB, IRAN , 2012 .

[21]  Mohammad Valipour.  Ability of Box-Jenkins Models to Estimate of Reference Potential Evapotranspiration (A Case Study: Mehrabad Synoptic Station, Tehran, Iran) , 2012 .

[22]  S. Eslamian,et al.  Estimation of daily pan evaporation using adaptive neural-based fuzzy inference system , 2011 .

[23]  Saeid Eslamian,et al.  Effects of variations in climatic parameters on evapotranspiration in the arid and semi-arid regions , 2011 .

[24]  A. Azhar,et al.  Evaluation of Reference Evapotranspiration Estimation Methods under Southeast Australian Conditions , 2011 .

[25]  S. Eslamian,et al.  Evaluation of the performance of evaporation pans in greenhouse environment , 2011 .

[26]  Safar Marofi,et al.  Trend Analysis in Reference Evapotranspiration Using Mann-Kendall and Spearman’s Rho Tests in Arid Regions of Iran , 2011, Water Resources Management.

[27]  P. Gavilán,et al.  Sensitivity analysis of a Penman–Monteith type equation to estimate reference evapotranspiration in southern Spain , 2009 .

[28]  Robert W. Hill,et al.  ASCE Standardized Penman-Monteith Alfalfa Reference ET and Crop ET Estimates for Arkansas River Compact Compliance in Colorado , 2009 .

[29]  S. Ustin,et al.  Daily reference evapotranspiration for California using satellite imagery and weather station measurement interpolation , 2009 .

[30]  Saeid Eslamian,et al.  Estimation of Monthly Pan Evaporation Using Artificial Neural Networks and Support Vector Machines , 2008 .

[31]  Lucien Wald,et al.  Using remotely sensed solar radiation data for reference evapotranspiration estimation at a daily time step , 2008 .

[32]  James L. Wright,et al.  Satellite-Based Energy Balance for Mapping Evapotranspiration with Internalized Calibration (METRIC)—Applications , 2007 .

[33]  Slavisa Trajkovic,et al.  Hargreaves versus Penman-Monteith under Humid Conditions , 2007 .

[34]  Chong-Yu Xu,et al.  Comparison of seven models for estimation of evapotranspiration and groundwater recharge using lysimeter measurement data in Germany , 2005 .

[35]  Ayse Irmak,et al.  Solar and Net Radiation-Based Equations to Estimate Reference Evapotranspiration in Humid Climates , 2003 .

[36]  Vijay P. Singh,et al.  Cross Comparison of Empirical Equations for Calculating Potential Evapotranspiration with Data from Switzerland , 2002 .

[37]  V. Singh,et al.  Evaluation and generalization of radiation-based methods for calculating evaporation , 2000 .

[38]  L. S. Pereira,et al.  Crop evapotranspiration : guidelines for computing crop water requirements , 1998 .

[39]  Francis H. S. Chiew,et al.  PENMAN-MONTEITH, FAO-24 REFERENCE CROP EVAPOTRANSPIRATION AND CLASS-A PAN DATA IN AUSTRALIA , 1995 .

[40]  George H. Hargreaves,et al.  Accuracy of Estimated Reference Crop Evapotranspiration , 1989 .

[41]  Richard G. Allen,et al.  Rational Use of the FAO Blaney-Criddle Formula , 1986 .

[42]  George H. Hargreaves,et al.  Reference Crop Evapotranspiration from Temperature , 1985 .

[43]  W. Baier.  EVALUATION OF LATENT EVAPORATION ESTIMATES AND THEIR CONVERSION TO POTENTIAL EVAPORATION , 1971 .

[44]  W. Baier,et al.  ESTIMATION OF LATENT EVAPORATION FROM SIMPLE WEATHER OBSERVATIONS , 1965 .

[45]  C. W. Thornthwaite.  An approach toward a rational classification of climate. , 1948 .