<?xml version="1.0" encoding="ISO-8859-1"?><article xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink" xmlns:xsi="http://www.w3.org/2001/XMLSchema-instance">
<front>
<journal-meta>
<journal-id>2007-7467</journal-id>
<journal-title><![CDATA[RIDE. Revista Iberoamericana para la Investigación y el Desarrollo Educativo]]></journal-title>
<abbrev-journal-title><![CDATA[RIDE. Rev. Iberoam. Investig. Desarro. Educ]]></abbrev-journal-title>
<issn>2007-7467</issn>
<publisher>
<publisher-name><![CDATA[Centro de Estudios e Investigaciones para el Desarrollo Docente A.C.]]></publisher-name>
</publisher>
</journal-meta>
<article-meta>
<article-id>S2007-74672025000200932</article-id>
<article-id pub-id-type="doi">10.23913/ride.v16i31.2532</article-id>
<title-group>
<article-title xml:lang="en"><![CDATA[Performance and prediction of reference evapotranspiration using seven alternative methods, in the state of Sinaloa, Mexico]]></article-title>
<article-title xml:lang="es"><![CDATA[Desempeño y predicción de la evapotranspiración de referencia utilizando siete métodos alternativos, en el estado de Sinaloa, México]]></article-title>
<article-title xml:lang="pt"><![CDATA[Desempenho e previsão da evapotranspiração de referência usando sete métodos alternativos no estado de Sinaloa, México]]></article-title>
</title-group>
<contrib-group>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Llanes Cárdenas]]></surname>
<given-names><![CDATA[Omar]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Norzagaray Campos]]></surname>
<given-names><![CDATA[Mariano]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Pérez González]]></surname>
<given-names><![CDATA[Ernestina]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Ávila Díaz]]></surname>
<given-names><![CDATA[Jeován A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
<contrib contrib-type="author">
<name>
<surname><![CDATA[Arciniega Galaviz]]></surname>
<given-names><![CDATA[Marco A.]]></given-names>
</name>
<xref ref-type="aff" rid="Aff"/>
</contrib>
</contrib-group>
<aff id="Af1">
<institution><![CDATA[,Instituto Politécnico Nacional Centro Interdisciplinario de Investigación para el Desarrollo Integral Regional ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af2">
<institution><![CDATA[,Instituto Politécnico Nacional Centro Interdisciplinario de Investigación para el Desarrollo Integral Regional ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af3">
<institution><![CDATA[,Instituto Politécnico Nacional Centro Interdisciplinario de Investigación para el Desarrollo Integral Regional ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af4">
<institution><![CDATA[,Universidad Autónoma de Occidente Unidad Los Mochis ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<aff id="Af5">
<institution><![CDATA[,Universidad Autónoma de Occidente Unidad Los Mochis ]]></institution>
<addr-line><![CDATA[ ]]></addr-line>
<country>Mexico</country>
</aff>
<pub-date pub-type="pub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<pub-date pub-type="epub">
<day>00</day>
<month>12</month>
<year>2025</year>
</pub-date>
<volume>16</volume>
<numero>31</numero>
<copyright-statement/>
<copyright-year/>
<self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_arttext&amp;pid=S2007-74672025000200932&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_abstract&amp;pid=S2007-74672025000200932&amp;lng=en&amp;nrm=iso"></self-uri><self-uri xlink:href="http://www.scielo.org.mx/scielo.php?script=sci_pdf&amp;pid=S2007-74672025000200932&amp;lng=en&amp;nrm=iso"></self-uri><abstract abstract-type="short" xml:lang="en"><p><![CDATA[Abstract This study aimed to evaluate the daily performance of seven alternative ETo methods ( EToaltiValidation; the letter i refers to alternative methods) and to predict annual accumulated ETo with the standard method of Penman-Monteith with limited data (EToPMP), in the state of Sinaloa, Mexico. Daily data from 11 weather stations in Sinaloa were obtained for the period 1969-2018 from the National Water Comission and the National Meteorological Service (CONAGUA-SMN), including maximum temperature, minimum temperature, and evaporation (Eva). Additionally, from the San Juan CONAGUA-SMN weather station, the following were obtained: wind speed, mean temperature, incident solar radiation, atmospheric pressure, and relative humidity. The seven alternative ETo methods (EToalti) calculated included: Romanenko (EToRo), Priestley-Taylor (EToPT), McGuinness and Bordne (EToMB), Hargreaves (EToH75), pan evaporation (EToTE), Hargreaves (EToH85), and Oudin (EToOu). The Daily mean ETo using the limited data Penman-Monteith method (EToPM) was also calculated. The mean absolute error (MAE) and the root mean square error (RMSE) between EToPM and the seven EToalti were calculated. Multiple linear and nonlinear regression models were used to predict EToPMP (dependent variable) from the seven EToalti methods (independent variables). In general, the EToalti with the best performance were EToTE (MAE from 0.360 mm day-1 to 2.294 mm day-1 and RMSE from 0.594 mm day&#8722;1 to 3.094 mm day-1). EToPT was the only EToalti that contributed to the explanation of all models of EToPMP. The models developed in this study can contribute to improving agricultural irrigation efficiency in Sinaloa, a state considered &#8220;the breadbasket of Mexico.&#8221;]]></p></abstract>
<abstract abstract-type="short" xml:lang="es"><p><![CDATA[Resumen Este estudio tuvo como objetivo evaluar el desempeño diario de siete métodos alternativos de ETo (EToalti; la letra i se refiere a métodos alternativos) y predecir la ETo acumulada anual con el método estándar de Penman-Monteith con datos limitados (EToPMP), en el estado de Sinaloa, México. Se obtuvieron datos diarios de 11 estaciones meteorológicas en Sinaloa para el período 1969-2018 de la Comisión Nacional del Agua y el Servicio Meteorológico Nacional (CONAGUA-SMN), incluyendo temperatura máxima, temperatura mínima y evaporación (Eva). Además, de la estación meteorológica San Juan de CONAGUA-SMN, se obtuvieron los siguientes datos: velocidad del viento, temperatura media, radiación solar incidente, presión atmosférica y humedad relativa. Los siete métodos alternativos de ETo (EToalti) calculados incluyeron: Romanenko (EToRo), Priestley-Taylor (EToPT), McGuinness y Bordne (EToMB), Hargreaves (EToH75), evaporación en tanque (EToTE), Hargreaves (EToH85) y Oudin (EToOu). También se calculó la ETo media diaria utilizando el método de Penman-Monteith (EToPM), con datos limitados. Se calcularon el error absoluto medio (MAE) y el error cuadrático medio (RMSE) entre EToPM y los siete métodos de EToalti. Se utilizaron modelos de regresión lineal y no lineal multiples para predecir la EToPMP (variable dependiente) a partir de los siete métodos de EToalti (variables independientes). En general, los EToalti con mejor rendimiento fueron EToTE (MAE de 0.360 mm día&#8315;1 a 2.294 mm día&#8315;1 y RMSE de 0.594 mm día&#8315;1 a 3.094 mm día&#8315;1). La EToPT fue la única EToalti que contribuyó a la explicación de todos los modelos de EToPMP. Los modelos desarrollados en este estudio pueden contribuir a mejorar la eficiencia del riego agrícola en Sinaloa, estado considerado el granero de México.]]></p></abstract>
<abstract abstract-type="short" xml:lang="pt"><p><![CDATA[Resumo Este estudo teve como objetivo avaliar o desempenho diário de sete métodos alternativos de ETo (EToalt_i; a letra i refere-se a métodos alternativos) e prever a ETo cumulativa anual usando o método padrão de Penman-Monteith com dados limitados (EToPMP), no estado de Sinaloa, México. Dados diários foram obtidos de 11 estações meteorológicas em Sinaloa para o período de 1969 a 2018 da Comissão Nacional de Águas e do Serviço Meteorológico Nacional (CONAGUA-SMN), incluindo temperatura máxima, temperatura mínima e evaporação (Eva). Além disso, os seguintes dados foram obtidos da estação meteorológica de San Juan da CONAGUA-SMN: velocidade do vento, temperatura média, radiação solar incidente, pressão atmosférica e umidade relativa. Os sete métodos alternativos de ETo (EToalt_i) calculados incluíram: Romanenko (EToRo), Priestley-Taylor (EToPT), McGuinness e Bordne (EToMB), Hargreaves (EToH75), evaporação em tanque (EToTE), Hargreaves (EToH85) e Oudin (EToOu). A ETo média diária também foi calculada usando o método de Penman-Monteith (EToPM), com dados limitados. O erro absoluto médio (MAE) e a raiz do erro quadrático médio (RMSE) entre EToPM e os sete métodos EToalt_i foram calculados. Modelos de regressão linear múltipla e não linear foram usados para prever EToPMP (variável dependente) a partir dos sete métodos EToalt_i (variáveis independentes). No geral, os EToalt_i com melhor desempenho foram os EToTE (MAE de 0,360 mm dia&#8315;1 a 2,294 mm dia&#8315;1 e RMSE de 0,594 mm dia&#8315;1 a 3,094 mm dia&#8315;1). O EToPT foi o único EToalt_i que contribuiu para a explicação de todos os modelos EToPMP. Os modelos desenvolvidos neste estudo podem contribuir para a melhoria da eficiência da irrigação agrícola em Sinaloa, um estado considerado o celeiro do México.]]></p></abstract>
<kwd-group>
<kwd lng="en"><![CDATA[Penman-Monteith reference evapotranspiration]]></kwd>
<kwd lng="en"><![CDATA[alternative methods]]></kwd>
<kwd lng="en"><![CDATA[predicting ETo with limited data]]></kwd>
<kwd lng="es"><![CDATA[evapotranspiración de referencia de Penman-Monteith]]></kwd>
<kwd lng="es"><![CDATA[métodos alternativos]]></kwd>
<kwd lng="es"><![CDATA[predicción de ETo con datos limitados]]></kwd>
<kwd lng="pt"><![CDATA[Evapotranspiração de referência de Penman-Monteith]]></kwd>
<kwd lng="pt"><![CDATA[métodos alternativos]]></kwd>
<kwd lng="pt"><![CDATA[predição de ETo com dados limitados]]></kwd>
</kwd-group>
</article-meta>
</front><back>
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