Evaluation of Temperature-Based Methods for the Estimation of Reference Evapotranspiration in the Yucatán Peninsula, Mexico

Quej Chi, Victor Hugo ORCID: https://orcid.org/0000-0002-9356-6251, Almorox Alonso, Javier ORCID: https://orcid.org/0000-0003-1523-0979, Arnaldo, Javier and Moratiel Yugueros, Ruben ORCID: https://orcid.org/0000-0002-9920-3937 (2018). Evaluation of Temperature-Based Methods for the Estimation of Reference Evapotranspiration in the Yucatán Peninsula, Mexico. "Journal of Hydrologic Engineering", v. 24 (n. 2); ISSN 1084-0699. https://doi.org/10.1061/(ASCE)HE.1943-5584.0001747.

Descripción

Título: Evaluation of Temperature-Based Methods for the Estimation of Reference Evapotranspiration in the Yucatán Peninsula, Mexico
Autor/es:
Tipo de Documento: Artículo
Título de Revista/Publicación: Journal of Hydrologic Engineering
Fecha: 30 Octubre 2018
ISSN: 1084-0699
Volumen: 24
Número: 2
Materias:
ODS:
Palabras Clave Informales: Reference evapotranspiration; Food and Agriculture Organization (FAO) Penman-Monteith temperature method; Air temperature; Limited data Mexico; Yucatán
Escuela: E.T.S. de Ingeniería Agronómica, Alimentaria y de Biosistemas (UPM)
Departamento: Producción Agraria
Licencias Creative Commons: Reconocimiento - Sin obra derivada - No comercial

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Resumen

Estimation of reference evapotranspiration (ETo) using air temperature is particularly attractive for places where solar radiation, wind speed, and air humidity data are not readily available. In this study, seven temperature-based (TET) models and the standardized reference evapotranspiration equation for short canopies method were compared. Using only temperature data from the Yucatán Peninsula, México, the Food and Agriculture Organization of the United Nations (FAO)-Penman-Monteith (PMT) model was used to estimate ETo. Results from the temperature-based models are compared with FAO-56 daily ETo calculations using the Nash-Sutcliffe model efficiency coefficient (NSE), the coefficient of determination (R2), mean absolute bias error (MAE), mean absolute percentage error (MAPE) and root mean square (RMSE). The results show that the noncalibrated PMT expression using temperatures alone produced the best results, with RMSE = 0.7 mmd-1. The Hargreaves-Samani calibrated (RMSE = 0.74 mm · d-1) and Camargo calibrated (RMSE = 0.78) models exhibited the next best performance. RMSE values were as high as 1.56 mm · d-1 for the other models.

Más información

ID de Registro: 91732
Identificador DC: https://oa.upm.es/91732/
Identificador OAI: oai:oa.upm.es:91732
URL Portal Científico: https://portalcientifico.upm.es/es/ipublic/item/4124655
Identificador DOI: 10.1061/(ASCE)HE.1943-5584.0001747
URL Oficial: https://ascelibrary.org/doi/10.1061/%28ASCE%29HE.1...
Depositado por: iMarina Portal Científico
Depositado el: 04 Nov 2025 17:02
Ultima Modificación: 04 Nov 2025 17:02