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Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts

Author

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  • Luo, Yufeng
  • Chang, Xiaomin
  • Peng, Shizhang
  • Khan, Shahbaz
  • Wang, Weiguang
  • Zheng, Qiang
  • Cai, Xueliang

Abstract

Accurate daily reference evapotranspiration (ET0) forecasting is necessary for real-time irrigation forecasting. We proposed a method for short-term forecasting of ET0 using the locally calibrated Hargreaves–Samani model and temperature forecasts. Daily meteorological data from four stations in China for the period 2001–2013 were collected to calibrate and validate the Hargreaves–Samani (HS) model against the Penman–Monteith (PM) model, and the temperature forecasts for a 7-day horizon in 2012–2013 were collected and entered into the calibrated HS model to forecast the ET0. The proposed method was tested through comparisons between ET0 forecasts and ET0 calculated from observed meteorological data and the PM model. The correlation coefficients between observed and forecasted temperatures for all stations were all greater than 0.94, and the accuracy of the minimum temperature forecast (error within ±2°C) ranged from 60.48% to 76.29% and the accuracy of the maximum temperature forecast ranged from 50.18% to 62.94%. The accuracy of the ET0 forecast (error within ±1.5mmday−1) ranged from 77.43% to 90.81%, the average values of the mean absolute error ranged from 0.64 to 1.02mmday−1, the average values of the root mean square error ranged from 0.87 to 1.36mmday−1, and the average values of the correlation coefficient ranged from 0.64 to 0.86. The sources of errors were the error in the temperature forecasts and the fact that the effects of wind speed and relative humidity were not considered in the HS model. The applications illustrated that the proposed method could provide daily ET0 forecasts with a certain degree of accuracy for real-time irrigation forecasts.

Suggested Citation

  • Luo, Yufeng & Chang, Xiaomin & Peng, Shizhang & Khan, Shahbaz & Wang, Weiguang & Zheng, Qiang & Cai, Xueliang, 2014. "Short-term forecasting of daily reference evapotranspiration using the Hargreaves–Samani model and temperature forecasts," Agricultural Water Management, Elsevier, vol. 136(C), pages 42-51.
    • Handle: RePEc:eee:agiwat:v:136:y:2014:i:c:p:42-51
    DOI: 10.1016/j.agwat.2014.01.006
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    7. Gavilán, Pedro & Ruiz, Natividad & Lozano, David, 2015. "Daily forecasting of reference and strawberry crop evapotranspiration in greenhouses in a Mediterranean climate based on solar radiation estimates," Agricultural Water Management, Elsevier, vol. 159(C), pages 307-317.
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    15. Zhang, Lei & Traore, Seydou & Cui, Yuanlai & Luo, Yufeng & Zhu, Ge & Liu, Bo & Fipps, Guy & Karthikeyan, R. & Singh, Vijay, 2019. "Assessment of spatiotemporal variability of reference evapotranspiration and controlling climate factors over decades in China using geospatial techniques," Agricultural Water Management, Elsevier, vol. 213(C), pages 499-511.
    16. 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.
    17. Xike Zhang & Qiuwen Zhang & Gui Zhang & Zhiping Nie & Zifan Gui & Huafei Que, 2018. "A Novel Hybrid Data-Driven Model for Daily Land Surface Temperature Forecasting Using Long Short-Term Memory Neural Network Based on Ensemble Empirical Mode Decomposition," IJERPH, MDPI, vol. 15(5), pages 1-23, May.
    18. Yang, Yang & Luo, Yufeng & Wu, Conglin & Zheng, Hezhen & Zhang, Lei & Cui, Yuanlai & Sun, Ningning & Wang, Li, 2019. "Evaluation of six equations for daily reference evapotranspiration estimating using public weather forecast message for different climate regions across China," Agricultural Water Management, Elsevier, vol. 222(C), pages 386-399.
    19. Qiu, Rangjian & Li, Longan & Liu, Chunwei & Wang, Zhenchang & Zhang, Baozhong & Liu, Zhandong, 2022. "Evapotranspiration estimation using a modified crop coefficient model in a rotated rice-winter wheat system," Agricultural Water Management, Elsevier, vol. 264(C).
    20. Zhang, Kang & Xie, Xianhong & Zhu, Bowen & Meng, Shanshan & Yao, Yi, 2019. "Unexpected groundwater recovery with decreasing agricultural irrigation in the Yellow River Basin," Agricultural Water Management, Elsevier, vol. 213(C), pages 858-867.
    21. Longo-Minnolo, G. & Vanella, D. & Consoli, S. & Intrigliolo, D.S. & Ramírez-Cuesta, J.M., 2020. "Integrating forecast meteorological data into the ArcDualKc model for estimating spatially distributed evapotranspiration rates of a citrus orchard," Agricultural Water Management, Elsevier, vol. 231(C).

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