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Use of average data of 181 synoptic stations for estimation of reference crop evapotranspiration by temperature-based methods

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  • Mohammad Valipour

Abstract

Evapotranspiration has a highlighted role in agricultural and forest meteorology researches, hydrological cycle, irrigation scheduling, and water resources management. There are many models to estimate the evapotranspiration including mass transfer, radiation, temperature, and pan evaporation-based models. This study aims to compare temperature-based models to detect the best model under different weather conditions. For this purpose, weather data were gathered from 181 synoptic stations in 31 provinces of Iran. 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 other models in the most provinces of Iran (25 provinces). However, the values of R 2 were less than 0.98 for 15 provinces of Iran. Therefore, the models were calibrated and preciseness of estimation was increased. However, the estimation was improved only in 14 provinces. The new temperature-based models estimated the evapotranspiration in the eastern (RK, NK, SB, and KE) provinces of Iran (with a various temperature range 14–20 °C) better than other provinces. The best precise methods were the Modified Hargreaves-Samani 1 method for AL (before calibration) and the Modified Hargreaves-Samani 3 method for KE (after calibration). Finally, a list of the best performance of each model has been presented to use other regions and next researches according to values of mean, maximum, and minimum temperature, elevation, minimum and mean relative humidity, sunshine, precipitation, and wind speed. The results are also useful for selecting the best model when we must apply temperature-based models because of type of available data. Copyright Springer Science+Business Media Dordrecht 2014

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  • Mohammad Valipour, 2014. "Use of average data of 181 synoptic stations for estimation of reference crop evapotranspiration by temperature-based methods," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4237-4255, September.
  • Handle: RePEc:spr:waterr:v:28:y:2014:i:12:p:4237-4255
    DOI: 10.1007/s11269-014-0741-9
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    1. Ahmed El-Shafie & Ali Najah & Humod Alsulami & Heerbod Jahanbani, 2014. "Optimized Neural Network Prediction Model for Potential Evapotranspiration Utilizing Ensemble Procedure," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(4), pages 947-967, March.
    2. Sungwon Kim & Vijay Singh & Youngmin Seo & Hung Kim, 2014. "Modeling Nonlinear Monthly Evapotranspiration Using Soft Computing and Data Reconstruction Techniques," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(1), pages 185-206, January.
    3. Pereira, Antonio Roberto & Pruitt, William Oregon, 2004. "Adaptation of the Thornthwaite scheme for estimating daily reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 66(3), pages 251-257, May.
    4. Mallikarjuna Perugu & Aruna Singam & Chandra Kamasani, 2013. "Multiple Linear Correlation Analysis of Daily Reference Evapotranspiration," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(5), pages 1489-1500, March.
    5. Mojtaba Shadmani & Safar Marofi & Majid Roknian, 2012. "Trend Analysis in Reference Evapotranspiration Using Mann-Kendall and Spearman’s Rho Tests in Arid Regions of Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(1), pages 211-224, January.
    6. C.-Y. Xu & V. Singh, 2002. "Cross Comparison of Empirical Equations for Calculating Potential Evapotranspiration with Data from Switzerland," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 16(3), pages 197-219, June.
    7. Krishna Bhartiya & Aniruddha Ghare, 2014. "Relative humidity based model for estimation of reference evapotranspiration for western plateau and hills region of India," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(10), pages 3355-3364, August.
    8. Helge Bormann, 2011. "Sensitivity analysis of 18 different potential evapotranspiration models to observed climatic change at German climate stations," Climatic Change, Springer, vol. 104(3), pages 729-753, February.
    9. Giorgos Papadavid & Diofantos Hadjimitsis & Leonidas Toulios & Silas Michaelides, 2013. "A Modified SEBAL Modeling Approach for Estimating Crop Evapotranspiration in Semi-arid Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(9), pages 3493-3506, July.
    10. Wenping Yuan & Shuguang Liu & Shunlin Liang & Zhengxi Tan & Heping Liu & Claudia Young, 2012. "Estimations of Evapotranspiration and Water Balance with Uncertainty over the Yukon River Basin," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2147-2157, June.
    11. Ozgur Kisi & Taner Cengiz, 2013. "Fuzzy Genetic Approach for Estimating Reference Evapotranspiration of Turkey: Mediterranean Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(10), pages 3541-3553, August.
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    2. Valipour, Mohammad & Gholami Sefidkouhi, Mohammad Ali & Raeini−Sarjaz, Mahmoud, 2017. "Selecting the best model to estimate potential evapotranspiration with respect to climate change and magnitudes of extreme events," Agricultural Water Management, Elsevier, vol. 180(PA), pages 50-60.
    3. Girón, I.F. & Corell, M. & Martín-Palomo, M.J. & Galindo, A. & Torrecillas, A. & Moreno, F. & Moriana, A., 2015. "Feasibility of trunk diameter fluctuations in the scheduling of regulated deficit irrigation for table olive trees without reference trees," Agricultural Water Management, Elsevier, vol. 161(C), pages 114-126.
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    5. Minacapilli, M. & Cammalleri, C. & Ciraolo, G. & Rallo, G. & Provenzano, G., 2016. "Using scintillometry to assess reference evapotranspiration methods and their impact on the water balance of olive groves," Agricultural Water Management, Elsevier, vol. 170(C), pages 49-60.
    6. Laishram Kanta Singh & Madan K. Jha & Mohita Pandey, 2018. "Framework for Standardizing Less Data-Intensive Methods of Reference Evapotranspiration Estimation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4159-4175, October.
    7. Jamil, Basharat & Akhtar, Naiem, 2017. "Comparison of empirical models to estimate monthly mean diffuse solar radiation from measured data: Case study for humid-subtropical climatic region of India," Renewable and Sustainable Energy Reviews, Elsevier, vol. 77(C), pages 1326-1342.
    8. Paweł Bogawski & Ewa Bednorz, 2014. "Comparison and Validation of Selected Evapotranspiration Models for Conditions in Poland (Central Europe)," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(14), pages 5021-5038, November.
    9. Abd El-Mageed, Taia A. & Semida, Wael M., 2015. "Organo mineral fertilizer can mitigate water stress for cucumber production (Cucumis sativus L.)," Agricultural Water Management, Elsevier, vol. 159(C), pages 1-10.

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