Estimation of evapotranspiration by the Food and Agricultural Organization of the United Nations (FAO) Penman–Monteith temperature (PMT) and Hargreaves–Samani (HS) models under temporal and spatial criteria – a case study in Duero basin (Spain)

Moratiel, Rubén; Bravo, Raquel; Saa, Antonio; Tarquis, Ana M.; Almorox, Javier

doi:10.5194/nhess-20-859-2020

Articles | Volume 20, issue 3

https://doi.org/10.5194/nhess-20-859-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Special issue:

Remote sensing, modelling-based hazard and risk assessment,...

https://doi.org/10.5194/nhess-20-859-2020

© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.

Articles | Volume 20, issue 3

Research article

|

27 Mar 2020

Research article |

| 27 Mar 2020

Estimation of evapotranspiration by the Food and Agricultural Organization of the United Nations (FAO) Penman–Monteith temperature (PMT) and Hargreaves–Samani (HS) models under temporal and spatial criteria – a case study in Duero basin (Spain)

Rubén Moratiel, Raquel Bravo, Antonio Saa, Ana M. Tarquis, and Javier Almorox

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Cumulative views and downloads (calculated since 09 Aug 2019)

Month	HTML	PDF	XML	Total
Aug 2019	121	26	1	148
Sep 2019	80	21	0	101
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Nov 2019	13	23	0	36
Dec 2019	12	15	0	27
Jan 2020	35	25	0	60
Feb 2020	17	14	0	31
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Apr 2020	92	23	3	118
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Feb 2021	82	19	0	101
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Aug 2021	92	16	0	108
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Mar 2022	81	25	0	106
Apr 2022	57	17	2	76
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Jul 2022	81	16	0	97
Aug 2022	135	43	0	178
Sep 2022	70	6	1	77
Oct 2022	63	19	1	83
Nov 2022	67	27	0	94
Dec 2022	54	31	1	86
Jan 2023	56	44	3	103
Feb 2023	57	29	2	88
Mar 2023	94	39	6	139
Apr 2023	55	28	3	86
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Jun 2023	55	38	2	95
Jul 2023	58	23	2	83
Aug 2023	54	15	2	71
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Oct 2023	65	37	1	103
Nov 2023	30	20	0	50
Dec 2023	50	29	1	80
Jan 2024	71	25	1	97
Feb 2024	47	25	5	77
Mar 2024	55	25	4	84
Apr 2024	64	27	3	94
May 2024	59	34	1	94
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Jul 2024	73	17	2	92
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Oct 2024	92	18	1	111
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Feb 2025	56	23	2	81
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Apr 2025	46	25	0	71
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Short summary

The estimation of ET_o using temperature is particularly attractive in places where air humidity, wind speed and solar radiation data are not readily available. In this study we used, for the estimation of ET_o, seven models against Penman–Monteith FAO 56 with temporal (annual and seasonal) and spatial perspective over Duero basin (Spain). The results of the tested models can be useful for adopting appropriate measures for efficient water management under the limitation of agrometeorological data.


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