Comparison of Temperature-Based Reference Crop Evapotranspiration Estimation Models

This study utilized meteorological data from 1994 to 2014 to determine the optimal method for predicting reference crop evapotranspiration (ET0) in Henan Province, with the Penman-Monteith (PM) model as the benchmark. The accuracy of four temperature-based ET0 estimation models—Hargreaves (HS), Thornthwaite (TH), McCloud (MC), and simplified Penman-Monteith (PT)—was evaluated. Data from 1994 to 2003 were utilized for parameter calibration, whereas data from 2004 to 2014 were applied for model validation. The results demonstrated that the HS and PT models attained correlation coefficients (r) over 0.900 post-calibration. The PT model demonstrated reduced root mean square error (RMSE) and mean absolute error (MAE) relative to the HS model. Both models show exceptional accuracy in the monthly computation of ET0. The correlation coefficients for HS and PT models were below 0.7 in January, October, November, and December, whereas they exceeded 0.7 from February to September. Overall, the PT model consistently outperformed the HS model in estimating ET0 across all 12 months in Henan Province.

• Publication year

  2025

• Venue

  Proceedings of the 2025 International Conference on Smart Agriculture and Artificial Intelligence

• Publication date

  2025-06-13

• Fields of study

  Not labeled

• Identifiers
  DOI 10.1145/3767624.3767632
• External record

  Open on Semantic Scholar

• Source metadata

  Semantic Scholar

• No claims are published for this paper.

• No concepts are published for this paper.

• Spatiotemporal Trends and Variation of Precipitation over China’s Loess Plateau across 1957–2018

  2023cited by this paper
• History and Evaluation of Hargreaves Evapotranspiration Equation

  2003cited by this paper

• No citing papers are available for this paper.