IDEAS home Printed from https://ideas.repec.org/a/spr/waterr/v23y2009i14p3057-3067.html
   My bibliography  Save this article

Evaluation of Reference Evapotranspiration Equations Under Humid Conditions

Author

Listed:
  • Slavisa Trajkovic
  • Srdjan Kolakovic

Abstract

Five reference evapotranspiration (ET 0 ) equations are evaluated using data from seven humid locations. The equations evaluated include Hargreaves, Thornthwaite, Turc, Priestley–Taylor, and Jensen–Haise. The objective of this study is to evaluate ET 0 estimated by these equations against the corresponding values estimated using the standardized FAO-56 Penman–Monteith (PM) equation. For each location, ET 0 estimates by the all equations were statistically compared with FAO-56 PM ET 0 estimates. The Turc equation yielded the smallest root-mean-square-difference (RMSD) values at the all locations except Novi Sad, Serbia. The final ranking of equations was based on the weighted RMSD. The Turc equation has the lowest weighted RMSD and ranking first, and other equations ranked in decreasing order are: Priestley–Taylor, Jensen–Haise, Thornthwaite, and Hargreaves. The Turc equation gives the reliable calculation at all humid locations and it has proven to be the most adjustable to the local climatic conditions. The results obtained from this study, indicate very clearly that the Turc equation is most suitable for estimating reference evapotranspiration at humid locations when weather data are insufficient to apply the FAO-56 PM equation. Copyright Springer Science+Business Media B.V. 2009

Suggested Citation

  • Slavisa Trajkovic & Srdjan Kolakovic, 2009. "Evaluation of Reference Evapotranspiration Equations Under Humid Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(14), pages 3057-3067, November.
    • Handle: RePEc:spr:waterr:v:23:y:2009:i:14:p:3057-3067
    DOI: 10.1007/s11269-009-9423-4
    as

    Download full text from publisher

    File URL: http://hdl.handle.net/10.1007/s11269-009-9423-4
    Download Restriction: Access to full text is restricted to subscribers.
    File URL: https://libkey.io/10.1007/s11269-009-9423-4?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Lopez-Urrea, R. & Olalla, F. Martin de Santa & Fabeiro, C. & Moratalla, A., 2006. "An evaluation of two hourly reference evapotranspiration equations for semiarid conditions," Agricultural Water Management, Elsevier, vol. 86(3), pages 277-282, December.
    2. Gavilan, Pedro & Berengena, Joaquin & Allen, Richard G., 2007. "Measuring versus estimating net radiation and soil heat flux: Impact on Penman-Monteith reference ET estimates in semiarid regions," Agricultural Water Management, Elsevier, vol. 89(3), pages 275-286, May.
    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. 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.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. de Oliveira, Renan G. & Valle Júnior, Luiz Claudio G. & da Silva, Jonh Billy & Espíndola, Duani A.L.F. & Lopes, Rute D. & Nogueira, José S. & Curado, Leone F.A. & Rodrigues, Thiago R., 2021. "Temporal trend changes in reference evapotranspiration contrasting different land uses in southern Amazon basin," Agricultural Water Management, Elsevier, vol. 250(C).
    2. Hossein Tabari, 2010. "Evaluation of Reference Crop Evapotranspiration Equations in Various Climates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2311-2337, August.
    3. Valle Júnior, Luiz C.G. & Ventura, Thiago M. & Gomes, Raphael S.R. & de S. Nogueira, José & de A. Lobo, Francisco & Vourlitis, George L. & Rodrigues, Thiago R., 2020. "Comparative assessment of modelled and empirical reference evapotranspiration methods for a brazilian savanna," Agricultural Water Management, Elsevier, vol. 232(C).
    4. Ali Rahimikhoob, 2016. "Comparison of M5 Model Tree and Artificial Neural Network’s Methodologies in Modelling Daily Reference Evapotranspiration from NOAA Satellite Images," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(9), pages 3063-3075, July.
    5. Jinping Zhang & Hongbin Li & Xixi Shi & Yang Hong, 2019. "Wavelet-Nonlinear Cointegration Prediction of Irrigation Water in the Irrigation District," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 33(8), pages 2941-2954, June.
    6. Rafiei-Sardooi, Elham & Azareh, Ali & Joorabian Shooshtari, Sharif & Parteli, Eric J.R., 2022. "Long-term assessment of land-use and climate change on water scarcity in an arid basin in Iran," Ecological Modelling, Elsevier, vol. 467(C).
    7. Singh Rawat, Kishan & Kumar Singh, Sudhir & Bala, Anju & Szabó, Szilárd, 2019. "Estimation of crop evapotranspiration through spatial distributed crop coefficient in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 213(C), pages 922-933.
    8. Chatzithomas, C.D. & Alexandris, S.G., 2015. "Solar radiation and relative humidity based, empirical method, to estimate hourly reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 152(C), pages 188-197.
    9. Raziei, Tayeb & Pereira, Luis S., 2013. "Estimation of ETo with Hargreaves–Samani and FAO-PM temperature methods for a wide range of climates in Iran," Agricultural Water Management, Elsevier, vol. 121(C), pages 1-18.
    10. Ali Rahimikhoob & Mahmood Behbahani & Javad Fakheri, 2012. "An Evaluation of Four Reference Evapotranspiration Models in a Subtropical Climate," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 2867-2881, August.
    11. Xiaodong Ren & Zhongyi Qu & Diogo S. Martins & Paula Paredes & Luis S. Pereira, 2016. "Daily Reference Evapotranspiration for Hyper-Arid to Moist Sub-Humid Climates in Inner Mongolia, China: I. Assessing Temperature Methods and Spatial Variability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3769-3791, September.
    12. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    13. Ali Sabziparvar & Roya Mousavi & Safar Marofi & Niaz Ebrahimipak & Majid Heidari, 2013. "An Improved Estimation of the Angstrom–Prescott Radiation Coefficients for the FAO56 Penman–Monteith Evapotranspiration Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2839-2854, June.
    14. Yang, Yong & Chen, Rensheng & Han, Chuntan & Liu, Zhangwen, 2021. "Evaluation of 18 models for calculating potential evapotranspiration in different climatic zones of China," Agricultural Water Management, Elsevier, vol. 244(C).
    15. 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.
    16. Süleyman Özhan & Ferhat Gökbulak & Yusuf Serengil & Mehmet Özcan, 2010. "Evapotranspiration from a Mixed Deciduous Forest Ecosystem," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2353-2363, August.
    17. Ali Rahimikhoob & Maryam Asadi & Mahmood Mashal, 2013. "A Comparison Between Conventional and M5 Model Tree Methods for Converting Pan Evaporation to Reference Evapotranspiration for Semi-Arid Region," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(14), pages 4815-4826, November.
    18. Paredes, P. & Pereira, L.S. & Almorox, J. & Darouich, H., 2020. "Reference grass evapotranspiration with reduced data sets: Parameterization of the FAO Penman-Monteith temperature approach and the Hargeaves-Samani equation using local climatic variables," Agricultural Water Management, Elsevier, vol. 240(C).
    19. Houshang Ghamarnia & Vahid Rezvani & Erfan Khodaei & Hossein Mirzaei, 2012. "Time and Place Calibration of the Hargreaves Equation for Estimating Monthly Reference Evapotranspiration under Different Climatic Conditions," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 4(3), pages 111-111, January.
    20. Nouri, Milad & Homaee, Mehdi, 2022. "Reference crop evapotranspiration for data-sparse regions using reanalysis products," Agricultural Water Management, Elsevier, vol. 262(C).
    21. Mohammed Magdy Hamed & Najeebullah Khan & Mohd Khairul Idlan Muhammad & Shamsuddin Shahid, 2022. "Ranking of Empirical Evapotranspiration Models in Different Climate Zones of Pakistan," Land, MDPI, vol. 11(12), pages 1-18, November.

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. M. Majidi & A. Alizadeh & M. Vazifedoust & A. Farid & T. Ahmadi, 2015. "Analysis of the Effect of Missing Weather Data on Estimating Daily Reference Evapotranspiration Under Different Climatic Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 29(7), pages 2107-2124, May.
    2. Xiang, Keyu & Li, Yi & Horton, Robert & Feng, Hao, 2020. "Similarity and difference of potential evapotranspiration and reference crop evapotranspiration – a review," Agricultural Water Management, Elsevier, vol. 232(C).
    3. Singh Rawat, Kishan & Kumar Singh, Sudhir & Bala, Anju & Szabó, Szilárd, 2019. "Estimation of crop evapotranspiration through spatial distributed crop coefficient in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 213(C), pages 922-933.
    4. 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.
    5. Malik, Anurag & Jamei, Mehdi & Ali, Mumtaz & Prasad, Ramendra & Karbasi, Masoud & Yaseen, Zaher Mundher, 2022. "Multi-step daily forecasting of reference evapotranspiration for different climates of India: A modern multivariate complementary technique reinforced with ridge regression feature selection," Agricultural Water Management, Elsevier, vol. 272(C).
    6. Chatzithomas, C.D. & Alexandris, S.G., 2015. "Solar radiation and relative humidity based, empirical method, to estimate hourly reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 152(C), pages 188-197.
    7. O.E. Mohawesh, 2011. "Evaluation of evapotranspiration models for estimating daily reference evapotranspiration in arid and semiarid environments," Plant, Soil and Environment, Czech Academy of Agricultural Sciences, vol. 57(4), pages 145-152.
    8. Mohamed A. Mattar & A. A. Alazba & Bander Alblewi & Bahram Gharabaghi & Mohamed A. Yassin, 2016. "Evaluating and Calibrating Reference Evapotranspiration Models Using Water Balance under Hyper-Arid Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3745-3767, September.
    9. Junzeng Xu & Junmei Wang & Qi Wei & Yanhua Wang, 2016. "Symbolic Regression Equations for Calculating Daily Reference Evapotranspiration with the Same Input to Hargreaves-Samani in Arid China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 2055-2073, April.
    10. Yang, Yang & Cui, Yuanlai & Bai, Kaihua & Luo, Tongyuan & Dai, Junfeng & Wang, Weiguang & Luo, Yufeng, 2019. "Short-term forecasting of daily reference evapotranspiration using the reduced-set Penman-Monteith model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 211(C), pages 70-80.
    11. Liu, Yujie & Luo, Yi, 2010. "A consolidated evaluation of the FAO-56 dual crop coefficient approach using the lysimeter data in the North China Plain," Agricultural Water Management, Elsevier, vol. 97(1), pages 31-40, January.
    12. Althoff, Daniel & Filgueiras, Roberto & Dias, Santos Henrique Brant & Rodrigues, Lineu Neiva, 2019. "Impact of sum-of-hourly and daily timesteps in the computations of reference evapotranspiration across the Brazilian territory," Agricultural Water Management, Elsevier, vol. 226(C).
    13. Muniandy, Josilva M. & Yusop, Zulkifli & Askari, Muhamad, 2016. "Evaluation of reference evapotranspiration models and determination of crop coefficient for Momordica charantia and Capsicum annuum," Agricultural Water Management, Elsevier, vol. 169(C), pages 77-89.
    14. Feng, Yu & Jia, Yue & Cui, Ningbo & Zhao, Lu & Li, Chen & Gong, Daozhi, 2017. "Calibration of Hargreaves model for reference evapotranspiration estimation in Sichuan basin of southwest China," Agricultural Water Management, Elsevier, vol. 181(C), pages 1-9.
    15. Yin, Juan & Deng, Zhen & Ines, Amor V.M. & Wu, Junbin & Rasu, Eeswaran, 2020. "Forecast of short-term daily reference evapotranspiration under limited meteorological variables using a hybrid bi-directional long short-term memory model (Bi-LSTM)," Agricultural Water Management, Elsevier, vol. 242(C).
    16. Dinpashoh, Yagob, 2006. "Study of reference crop evapotranspiration in I.R. of Iran," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 123-129, July.
    17. Seydou Traore & Yufeng Luo & Guy Fipps, 2017. "Gene-Expression Programming for Short-Term Forecasting of Daily Reference Evapotranspiration Using Public Weather Forecast Information," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(15), pages 4891-4908, December.
    18. Shiri, Jalal, 2017. "Evaluation of FAO56-PM, empirical, semi-empirical and gene expression programming approaches for estimating daily reference evapotranspiration in hyper-arid regions of Iran," Agricultural Water Management, Elsevier, vol. 188(C), pages 101-114.
    19. Seydou Traore & Aytac Guven, 2012. "Regional-Specific Numerical Models of Evapotranspiration Using Gene-Expression Programming Interface in Sahel," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(15), pages 4367-4380, December.
    20. Elbeltagi, Ahmed & Srivastava, Aman & Deng, Jinsong & Li, Zhibin & Raza, Ali & Khadke, Leena & Yu, Zhoulu & El-Rawy, Mustafa, 2023. "Forecasting vapor pressure deficit for agricultural water management using machine learning in semi-arid environments," Agricultural Water Management, Elsevier, vol. 283(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:spr:waterr:v:23:y:2009:i:14:p:3057-3067. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.