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An Improved Estimation of the Angstrom–Prescott Radiation Coefficients for the FAO56 Penman–Monteith Evapotranspiration Method

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  • Ali Sabziparvar
  • Roya Mousavi
  • Safar Marofi
  • Niaz Ebrahimipak
  • Majid Heidari

Abstract

The FAO56 Penman–Monteith (FAO56-PM) method is known as the standard method for estimating reference evapotranspiration (ET 0 ) in a variety of climate types. Global solar radiation (R s ) is one of the essential inputs of this model, which is usually estimated from the Angstrom–Prescott (AP) method. The major drawback of the FAO56 pre-defined AP coefficients application is that the AP coefficients might need local calibration, to estimate ET 0 accurately. The aim of this study is to compare the effect of the FAO56 pre-defined AP coefficients (i.e. a and b) and the locally calibrated ones, on estimating daily ET 0 in 15 sites over Iran. Using long-term (1980–2007) experimental global solar radiation data (R s ), new locally calibrated (a) and (b) coefficients are suggested and new ET 0 values are determined accordingly. It was found that the range of the calibrated AP coefficients (a, b) are climate dependent and locally different from those of recommended by the FAO56-PM method. Estimated ET 0 at daily scale, improved up to 72.7 % when the calibrated AP coefficients were applied instead of FAO56 pre-defined AP coefficients. Based on the results, applying the FAO56 pre-defined AP coefficients (i.e. a = 0.25 and b = 0.50) in northern subtropical-humid and southern hot climates caused larger ET 0 errors. By contrast, the least ET 0 errors were found in cool arid and cool semi-arid inland climates, locating about 1,330 above sea level. The correlations between the calibrated AP coefficients and geographical factors are also discussed in this research. Copyright Springer Science+Business Media Dordrecht 2013

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  • 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.
    • Handle: RePEc:spr:waterr:v:27:y:2013:i:8:p:2839-2854
    DOI: 10.1007/s11269-013-0318-z
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    1. 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.
    2. Mohammad Asadi Zarch & Hossein Malekinezhad & Mohammad Mobin & Mohammad Dastorani & Mohammad Kousari, 2011. "Drought Monitoring by Reconnaissance Drought Index (RDI) in Iran," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 25(13), pages 3485-3504, October.
    3. 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.
    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.
    5. Allen, Richard G. & Pruitt, William O. & Wright, James L. & Howell, Terry A. & Ventura, Francesca & Snyder, Richard & Itenfisu, Daniel & Steduto, Pasquale & Berengena, Joaquin & Yrisarry, Javier Basel, 2006. "A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 Penman-Monteith method," Agricultural Water Management, Elsevier, vol. 81(1-2), pages 1-22, March.
    6. 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.
    7. 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.
    8. Sabziparvar, Ali A. & Shetaee, H., 2007. "Estimation of global solar radiation in arid and semi-arid climates of East and West Iran," Energy, Elsevier, vol. 32(5), pages 649-655.
    9. Munawar Iqbal & David T. Llewellyn, 2002. "Introduction," Chapters, in: Munawar Iqbal & David T. Llewellyn (ed.), Islamic Banking and Finance, chapter 1, Edward Elgar Publishing.
    10. Yin, Yunhe & Wu, Shaohong & Zheng, Du & Yang, Qinye, 2008. "Radiation calibration of FAO56 Penman-Monteith model to estimate reference crop evapotranspiration in China," Agricultural Water Management, Elsevier, vol. 95(1), pages 77-84, January.
    11. Moradi, Isaac, 2009. "Quality control of global solar radiation using sunshine duration hours," Energy, Elsevier, vol. 34(1), pages 1-6.
    12. 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.
    13. Sebastian Kloss & Raji Pushpalatha & Kefasi Kamoyo & Niels Schütze, 2012. "Evaluation of Crop Models for Simulating and Optimizing Deficit Irrigation Systems in Arid and Semi-arid Countries Under Climate Variability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(4), pages 997-1014, March.
    14. 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.
    15. Li, Huashan & Lian, Yongwang & Wang, Xianlong & Ma, Weibin & Zhao, Liang, 2011. "Solar constant values for estimating solar radiation," Energy, Elsevier, vol. 36(3), pages 1785-1789.
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