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Penman-Monteith, FAO-24 reference crop evapotranspiration and class-A pan data in Australia

Author

Listed:
  • Chiew, F. H. S.
  • Kamaladasa, N. N.
  • Malano, H. M.
  • McMahon, T. A.

Abstract

No abstract is available for this item.

Suggested Citation

  • Chiew, F. H. S. & Kamaladasa, N. N. & Malano, H. M. & McMahon, T. A., 1995. "Penman-Monteith, FAO-24 reference crop evapotranspiration and class-A pan data in Australia," Agricultural Water Management, Elsevier, vol. 28(1), pages 9-21, August.
    • Handle: RePEc:eee:agiwat:v:28:y:1995:i:1:p:9-21
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    Cited by:

    1. Alberto Mirambell & Clayton Silva & Flavio Barbosa & Celso Ribeiro, 2017. "A Methodological Proposal Based on Artificial Neural Networks for Evapotranspiration Assessment," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 9(5), pages 142-142, April.
    2. 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.
    3. Osama Mohawesh, 2010. "Spatio-temporal Calibration of Blaney–Criddle Equation in Arid and Semiarid Environment," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2187-2201, August.
    4. Yassin, Mohamed A. & Alazba, A.A. & Mattar, Mohamed A., 2016. "Artificial neural networks versus gene expression programming for estimating reference evapotranspiration in arid climate," Agricultural Water Management, Elsevier, vol. 163(C), pages 110-124.
    5. Yang, Yang & Cui, Yuanlai & Luo, Yufeng & Lyu, Xinwei & Traore, Seydou & Khan, Shahbaz & Wang, Weiguang, 2016. "Short-term forecasting of daily reference evapotranspiration using the Penman-Monteith model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 177(C), pages 329-339.
    6. Perera, Kushan C. & Western, Andrew W. & Nawarathna, Bandara & George, Biju, 2015. "Comparison of hourly and daily reference crop evapotranspiration equations across seasons and climate zones in Australia," Agricultural Water Management, Elsevier, vol. 148(C), pages 84-96.
    7. Wang, Linlin & Xie, Junhong & Luo, Zhuzhu & Niu, Yining & Coulter, Jeffrey A. & Zhang, Renzhi & Lingling, Li, 2021. "Forage yield, water use efficiency, and soil fertility response to alfalfa growing age in the semiarid Loess Plateau of China," Agricultural Water Management, Elsevier, vol. 243(C).
    8. 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.
    9. 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.
    10. Jabloun, M. & Sahli, A., 2008. "Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data: Application to Tunisia," Agricultural Water Management, Elsevier, vol. 95(6), pages 707-715, June.

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