Version 1
: Received: 4 June 2024 / Approved: 5 June 2024 / Online: 5 June 2024 (15:28:20 CEST)
How to cite:
Llanes Cárdenas, O.; Estrella Gastélum, R. D.; Norzagaray Campos, M.; Parra Galaviz, R. E.; García Serrano, L. A.; Montiel Montoya, J. Penman–Monteith Reference Evapotranspiration Estimation Models, Using Latitude–Temperature Data, in the State of Sinaloa, Mexico. Preprints2024, 2024060308. https://doi.org/10.20944/preprints202406.0308.v1
Llanes Cárdenas, O.; Estrella Gastélum, R. D.; Norzagaray Campos, M.; Parra Galaviz, R. E.; García Serrano, L. A.; Montiel Montoya, J. Penman–Monteith Reference Evapotranspiration Estimation Models, Using Latitude–Temperature Data, in the State of Sinaloa, Mexico. Preprints 2024, 2024060308. https://doi.org/10.20944/preprints202406.0308.v1
Llanes Cárdenas, O.; Estrella Gastélum, R. D.; Norzagaray Campos, M.; Parra Galaviz, R. E.; García Serrano, L. A.; Montiel Montoya, J. Penman–Monteith Reference Evapotranspiration Estimation Models, Using Latitude–Temperature Data, in the State of Sinaloa, Mexico. Preprints2024, 2024060308. https://doi.org/10.20944/preprints202406.0308.v1
APA Style
Llanes Cárdenas, O., Estrella Gastélum, R. D., Norzagaray Campos, M., Parra Galaviz, R. E., García Serrano, L. A., & Montiel Montoya, J. (2024). Penman–Monteith Reference Evapotranspiration Estimation Models, Using Latitude–Temperature Data, in the State of Sinaloa, Mexico. Preprints. https://doi.org/10.20944/preprints202406.0308.v1
Chicago/Turabian Style
Llanes Cárdenas, O., Luz Arcelia García Serrano and Jorge Montiel Montoya. 2024 "Penman–Monteith Reference Evapotranspiration Estimation Models, Using Latitude–Temperature Data, in the State of Sinaloa, Mexico" Preprints. https://doi.org/10.20944/preprints202406.0308.v1
Abstract
The goal of this study is to create regression models estimating the daily Penman–Monteith reference evapotranspiration (PMR) using latitude–temperature data for the state of Sinaloa, Mexico. Daily series of minimum–maximum temperature (1979–2017) were obtained from seven weather stations in Sinaloa. The reference evapotranspiration was calculated by the methods of Penman–Monteith using empirical equations (PMC), Hargreaves (HAC), and PMR. Prior to calculating PMC, the incident solar radiation (SR) was calculated. From the Acaponeta station (2005–2008, 2011–2013 and 2015–2017), all complete observed variables were obtained: mean temperature, incident solar radiation (SRg), average relative humidity and average wind speed at a height of 10 m. The data from the eight weather stations were provided by the National Meteorological Service and the National Water Commission. The daily observed Penman–Monteith reference evapotranspiration (PMO) was calculated. For validation, three simple linear regressions (SLR) were applied: SR vs SRg, PMC vs PMO and PMR vs PMO. hypothesis tests were applied to each SLR: Pearson correlation (Pr) vs critical Pearson correlation (Pcr). All rP were significantly different from zero (> |0.576|): SRg vs SR (Pr = 0.951), PMC vs PMO (Pr = 0.592), and PMR vs PMO (Pr = 0.625). This study provides new models that can motivate and support the design and implementation of intelligent irrigation in the state considered “the breadbasket of Mexico.”
Keywords
reference evapotranspiration; Penman–Monteith; Hargreaves; intelligent irrigation; “the breadbasket of Mexico”
Subject
Environmental and Earth Sciences, Atmospheric Science and Meteorology
Copyright:
This is an open access article distributed under the Creative Commons Attribution License which permits unrestricted use, distribution, and reproduction in any medium, provided the original work is properly cited.
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