Comparison of reference evapotranspiration estimated by Penman-Monteith and a Class A pan across the 2016 and 2017 dry seasons in Yopal, Casanare, Colombia

Authors

  • Gustavo Castro-García Departamento de Ingeniería Agrícola y Biosistemas, Universidad de Puerto Rico-Mayagüez. Po Box 9000, Mayagüez, Puerto Rico.

DOI:

https://doi.org/10.17268/

Keywords:

reference evapotranspiration, Class A pan, Penman-Monteith, irrigation scheduling, Orinoquia

Abstract

Reliable estimation of reference evapotranspiration (ETo) is essential for irrigation scheduling in the Colombian Orinoquia, where incomplete agrometeorological records often limit the routine application of data-demanding methods. This study compared ETo estimated by the FAO Penman-Monteith method and by a Class A evaporation pan in Yopal, Casanare, during the 2016 and 2017 dry seasons, testing whether the pan could reproduce Penman-Monteith ETo without significant bias. A total of 52 paired observations were analyzed, with 26 records for each year. Penman-Monteith ETo was calculated from Davis WeatherLink meteorological data following FAO-56 procedures, while pan-based ETo was obtained from measured evaporation using a fixed pan coefficient (Kp) of 0.70. Across both years, mean ETo was 4.24 mm d⁻¹ for Penman-Monteith and 5.40 mm d⁻¹ for the Class A pan, with a significant pooled bias of 1.17 mm d⁻¹ (p < 0.001). Agreement was moderate overall, but strongly dependent on year. The pan performed well in 2017, yet substantially overestimated ETo in 2016. These results indicate that a fixed Kp of 0.70 is not temporally stable, and that local calibration and validation across seasons are necessary before the Class A pan can be used as a substitute for Penman-Monteith in Yopal.

References

Allen, R. G., Pereira, L. S., Raes, D., & Smith, M. (1998). Crop evapotranspiration: Guidelines for computing crop water requirements. Food and Agriculture Organization of the United Nations.

Cabral Júnior, J. B., Lucena, R. L., & Almeida, H. A. (2018). Avaliação da evapotranspiração de referência diária, estimada pelo método tanque classe A, para Campina Grande, PB. Revista Brasileira de Geografia Física, 11(6), 1971–1984. https://doi.org/10.26848/rbgf.v11.6.p1971-1984

Cemek, B., Küçüktopçu, E., Fleitas Ortellado, M. G., & Simsek, H. (2025). Data-driven estimation of reference evapotranspiration in Paraguay from geographical and temporal predictors. Applied Sciences, 15(21), 11429.

Chen, D., Gao, G., Xu, C.-Y., Guo, J., & Ren, G. (2005). Comparison of the Thornthwaite method and pan data with the standard Penman-Monteith estimates of reference evapotranspiration in China. Climate Research, 28(2), 123–132. https://doi.org/10.3354/cr028123

Córdova, M., Carrillo-Rojas, G., Crespo, P., Wilcox, B., & Célleri, R. (2015). Evaluation of the Penman-Monteith (FAO 56 PM) method for calculating reference evapotranspiration using limited data. Mountain Research and Development, 35(3), 230–239. https://doi.org/10.1659/MRD-JOURNAL-D-14-0024.1

Cunha, P. C. R., Nascimento, J. L., Silveira, P. M., & Alves Júnior, J. (2013). Eficiência de métodos para o cálculo de coeficientes do tanque classe A na estimativa da evapotranspiração de referência. Pesquisa Agropecuária Tropical, 43(2), 114–122. https://doi.org/10.1590/S1983-40632013000200005

Dhakar, R., Sehgal, V. K., Chakraborty, D., Sahoo, R. N., Mukherjee, J., Ines, A. V. M., Kumar, S. N., Shirsath, P. B., & Roy, S. B. (2022). Field scale spatial wheat yield forecasting system under limited field data availability by integrating crop simulation model with weather forecast and satellite remote sensing. Agricultural Systems, 195, 103299. https://doi.org/10.1016/j.agsy.2021.103299

Elbeltagi, A., Nagy, A., Mohammed, S., Pande, C. B., Kumar, M., Bhat, S. A., ... & Juhász, C. (2022). Combination of limited meteorological data for predicting reference crop evapotranspiration using artificial neural network method. Agronomy, 12(2), 516.

Hernández Hernández, G. C., Gómez Gómez, J., & Jiménez-Cabas, J. (2025). Predictive models based on artificial intelligence to estimate crop yield: A literature review. Agriculture, 15(23), 2438. https://doi.org/10.3390/agriculture15232438

Ippolito, M., De Caro, D., Cannarozzo, M., Provenzano, G., & Ciraolo, G. (2024). Evaluation of daily crop reference evapotranspiration and sensitivity analysis of FAO Penman-Monteith equation using ERA5-Land reanalysis database in Sicily, Italy. Agricultural Water Management, 295, 108732.

Irizarry-Ortiz, M., & Harmsen, E. W. (2023). Sensitivity of the Penman–Monteith reference evapotranspiration equation to meteorological variables for Puerto Rico. Hydrology, 10(5), 101. https://doi.org/10.3390/hydrology10050101

Jensen, M. E., Burman, R. D., & Allen, R. G. (1990). Evapotranspiration and irrigation water requirements. American Society of Civil Engineers.

Koç, D. L. (2022). Assessment of pan coefficient models for the estimation of the reference evapotranspiration in a Mediterranean environment in Turkey. PeerJ, 10, e13554. https://doi.org/10.7717/peerj.13554

Lakhiar, I. A., Yan, H., Zhang, C., Zhang, J., Wang, G., Deng, S., Syed, T. N., Wang, B., & Zhou, R. (2024). A review of evapotranspiration estimation methods for climate-smart agriculture tools under a changing climate: Vulnerabilities, consequences, and implications. Journal of Water and Climate Change, 16, 249–288. https://doi.org/10.2166/wcc.2024.048

Lopes, A. S., Oliveira, G. Q., Lopes, L. H., & Pacheco, A. (2012). Avaliação do coeficiente do tanque classe A para estimativa da evapotranspiração de referência em Aquidauana-MS. Irriga, 1(1), 1–12. https://doi.org/10.15809/irriga.2012v1n01p01

Lunardi, M. A., Lunardi, D. M. C., & Cavaguti, N. (1999). Comparação entre medidas evapotranspirométricas e metodologia da FAO, na determinação da evapotranspiração de referência. Irriga, 4(1), 31–42. https://doi.org/10.15809/irriga.1999v4n1p31-42

Mendoza, C. J., & Peña, A. J. (2021). Reference evapotranspiration estimation by different methods for the sucroenergy sector of Colombia. Revista Brasileira de Engenharia Agrícola e Ambiental, 25(9), 583–590. https://doi.org/10.1590/1807-1929/agriambi.v25n9p583-590

Moratiel, R., Martínez-Cob, A., & Latorre, B. (2013). Variation in the estimations of ETo and crop water use due to the sensor accuracy of the meteorological variables. Natural Hazards and Earth System Sciences, 13(6), 1401–1410. https://doi.org/10.5194/nhess-13-1401-2013

Moro, I. P., Zanetti, S. S., Cecílio, R. A., Pezzopane, J. E. M., & Xavier, A. C. (2025). Influência dos elementos meteorológicos na evapotranspiração de referência diária. Revista Brasileira de Meteorologia, 40, e40240043. https://doi.org/10.1590/0102-778640240043

Nikolaou, G., Neocleous, D., Evangelides, E., & Kitta, E. (2025). A decision support system for irrigation scheduling using a reduced-size pan. Agronomy, 15(4), 848. https://doi.org/10.3390/agronomy15040848

Owusu-Sekyere, J. D., Ampofo, E. A., & Asamoah, O. (2017). Comparison of five different methods in estimating reference evapotranspiration in Cape Coast, Ghana. African Journal of Agricultural Research, 12(42), 3092–3102. https://doi.org/10.5897/AJAR2017.12594

Pereira, F. A. C. (1998). Desempenho do modelo de Penman-Monteith e de dois evaporímetros na estimativa da evapotranspiração de referência (ETo) em relação a um lisímetro de pesagem [Doctoral dissertation, Universidade de São Paulo]. https://doi.org/10.11606/T.11.2019.TDE-20191220-122609

Sabino, M., & de Souza, A. P. (2023). Global sensitivity of Penman-Monteith reference evapotranspiration to climatic variables in Mato Grosso, Brazil. Earth, 4(3), 714–727. https://doi.org/10.3390/earth4030038

Sabino, M., da Silva, A. C., de Almeida, F. T., & de Souza, A. P. (2024). Reference evapotranspiration in climate change scenarios in Mato Grosso, Brazil. Hydrology, 11(7), 91. https://doi.org/10.3390/hydrology11070091

Silva, G. H. D., Dias, S. H. B., Ferreira, L. B., Santos, J. E. O., & Cunha, F. F. (2018). Performance of different methods for reference evapotranspiration estimation in Jaíba, Brazil. Revista Brasileira de Engenharia Agricola e Ambiental, 22(2), 83–89. https://doi.org/10.1590/1807-1929/agriambi.v22n2p83-89

Souza, A. P., Almeida, F. T., Arantes, K. R., Martim, C. C., & Silva, J. O. (2015). Coeficientes de tanque Classe A para estimativa da evapotranspiração de referência diária na região de transição Cerrado-Amazônica. Scientia Plena, 11(5), 1–12.

Trajkovic, S., & Stojnic, V. (2008). Simple daily ET0 estimation techniques. Facta Universitatis: Architecture and Civil Engineering, 6(1), 117–125.

Valle Júnior, L. C. G. d., Vourlitis, G. L., Curado, L. F. A., Palácios, R. d. S., Nogueira, J. d. S., Lobo, F. d. A., Islam, A. R. M. T., & Rodrigues, T. R. (2021). Evaluation of FAO-56 procedures for estimating reference evapotranspiration using missing climatic data for a Brazilian tropical savanna. Water, 13(13), 1763. https://doi.org/10.3390/w13131763

Wang, T., Zhang, J., Sun, F., & Liu, W. (2017). Pan evaporation paradox and evaporative demand from the past to the future over China: A review. Wiley Interdisciplinary Reviews: Water, 4(3), e1207. https://doi.org/10.1002/wat2.1207

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Published

2026-08-27

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Artículos de investigación

How to Cite

Comparison of reference evapotranspiration estimated by Penman-Monteith and a Class A pan across the 2016 and 2017 dry seasons in Yopal, Casanare, Colombia. (2026). Agroindustrial Science, 16(3), 421-428. https://doi.org/10.17268/