Abstract
Evapotranspiration is one of the main components of water balance and its accurate estimation is of great importance in planning and optimizing water consumption. In this study, therefore, it was tried to calculate the actual evapotranspiration rate of wheat crop in the Pars Abad section of Moghan plain, northwestern Iran, which is one of the main agricultural hubs in Iran. The research tools were Surface Energy Balance Algorithm for Land (SEBAL), Mapping Evapotranspiration at High Resolution with Internalized Calibration (METRIC), and Analytical Land Atmosphere Radiometer Model (ALARM) methods. For this purpose, 12 images of Landsat 7 and 8 satellites were used, all of which were in the product development period between 2016 and 2019, and the results were compared with lysimeter data. The results indicated that the highest actual evapotranspiration rate of wheat crop during the development period was related to 2018.07.01 (7.86 mm/day) in the ALARM method and the lowest rate in the mid-growth period belonged to 2017.01.30 (0.32 mm/day) in the METRIC method. Among the investigated methods, the SEBAL method with an RSME of 0.633 had the lowest error rate and the highest \({R}^{2}\) (0.9307) compared with the lysimeter data, followed by the METRIC and ALARM methods with the lowest error (RMSE = 0.761 and 0.855 mm/day) and the highest correlation \(({R}^{2}\) = 0.9057 and 0.8709), respectively.
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Data availability
The datasets generated during and/or analyzed during the current study are available from the corresponding author on reasonable request.
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Acknowledgements
Many thanks to Robert Horton, Professor of Soil Science, Iowa State University, for his guidance in preparing and conducting the research.
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All of the authors contributed to the study conception and design. Material preparation, data collection, and analysis were performed by Mehdi Asadi and Khalil Valizadeh Kamran. The first draft of the manuscript was written by Mehdi Asadi and all authors commented on the previous versions of the manuscript. All authors read and approved the final manuscript.
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Asadi, M., Kamran, K.V. Comparison of SEBAL, METRIC, and ALARM algorithms for estimating actual evapotranspiration of wheat crop. Theor Appl Climatol 149, 327–337 (2022). https://doi.org/10.1007/s00704-022-04026-3
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DOI: https://doi.org/10.1007/s00704-022-04026-3