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Performance of the Priestley-Taylor equation in the semiarid climate of North China

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  • Xiaoying, Liu
  • Erda, Lin

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  • Xiaoying, Liu & Erda, Lin, 2005. "Performance of the Priestley-Taylor equation in the semiarid climate of North China," Agricultural Water Management, Elsevier, vol. 71(1), pages 1-17, January.
  • Handle: RePEc:eee:agiwat:v:71:y:2005:i:1:p:1-17
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    References listed on IDEAS

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    1. Gunston, H. & Batchelor, C. H., 1983. "A comparison of the Priestley-Taylor and Penman methods for estimating reference crop evapotranspiration in tropical countries," Agricultural Water Management, Elsevier, vol. 6(1), pages 65-77, March.
    2. Kashyap, P. S. & Panda, R. K., 2001. "Evaluation of evapotranspiration estimation methods and development of crop-coefficients for potato crop in a sub-humid region," Agricultural Water Management, Elsevier, vol. 50(1), pages 9-25, August.
    3. Asare, D. K. & Sammis, T. W. & Assadian, H. & Fowler, J. L., 1992. "Evaluating three cotton simulation models under different irrigation regimes," Agricultural Water Management, Elsevier, vol. 22(4), pages 391-407, December.
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    Cited by:

    1. Mattar, Mohamed A., 2018. "Using gene expression programming in monthly reference evapotranspiration modeling: A case study in Egypt," Agricultural Water Management, Elsevier, vol. 198(C), pages 28-38.
    2. Liu, Xiaoying & Mei, Xurong & Li, Yuzhong & Wang, Qingsuo & Zhang, Yanqing & Porter, John Roy, 2009. "Variation in reference crop evapotranspiration caused by the Ångström-Prescott coefficient: Locally calibrated versus the FAO recommended," Agricultural Water Management, Elsevier, vol. 96(7), pages 1137-1145, July.
    3. 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.
    4. Anghileri, Daniela & Chibarabada, Tendai Polite & Gadedjisso-Tossou, Agossou & Craig, Ailish & Li, Chengxiu & Lu, Yang & Chimimba, Ellasy Gulule & Kambombe, Oscar & Musa, Frank & Ngongondo, Cosmo & En, 2024. "Understanding the maize yield gap in Southern Malawi by integrating ground and remote-sensing data, models, and household surveys11Submitted to Agricultural Systems," Agricultural Systems, Elsevier, vol. 218(C).
    5. Traore, Seydou & Wang, Yu-Min & Kerh, Tienfuan, 2010. "Artificial neural network for modeling reference evapotranspiration complex process in Sudano-Sahelian zone," Agricultural Water Management, Elsevier, vol. 97(5), pages 707-714, May.
    6. Youssef Kassem & Hüseyin Gökçekuş & Rifat Gökçekuş, 2024. "Towards Sustainable Energy Solutions: Evaluating the Impact of Floating PV Systems in Reducing Water Evaporation and Enhancing Energy Production in Northern Cyprus," Energies, MDPI, vol. 17(21), pages 1-38, October.

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