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Analysis of institutional authors

Moratiel, RubenCorresponding AuthorSaa, AntonioAuthorTarquis, Ana M.AuthorAlmorox, JavierAuthor

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April 21, 2020
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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)

Publicated to: NATURAL HAZARDS AND EARTH SYSTEM SCIENCES. 20 (3): 859-875 - 2020-03-27 20(3), DOI: 10.5194/nhess-20-859-2020

Authors:

Moratiel, R; Bravo, R; Saa, A; Tarquis, AM; Almorox, J
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Affiliations

CEIGRAM, C Senda Rey 13, Madrid 28040, Spain - Author
Minist Agr & Pesca, Alimentac & Medio Ambiente, Paseo Infanta Isabel 1, Madrid 28071, Spain - Author
Univ Politecn Madrid, Dept Plant Prod, Avda Complutense S-N, E-28040 Madrid, Spain - Author
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Abstract

The evapotranspiration-based scheduling method is the most common method for irrigation programming in agriculture. There is no doubt that the estimation of the reference evapotranspiration (ETo) is a key factor in irrigated agriculture. However, the high cost and maintenance of agrometeorological stations and high number of sensors required to estimate it make it non-plausible, especially in rural areas. For this reason, the estimation of ETo using air temperature, in places where wind speed, solar radiation and air humidity data are not readily available, is particularly attractive. A daily data record of 49 stations distributed over Duero basin (Spain), for the period 20002018, was used for estimation of ETo based on seven models against Penman-Monteith (PM) FAO 56 (FAO - Food and Agricultural Organization of the United Nations) from a temporal (annual or seasonal) and spatial perspective. Two Hargreaves-Samani (HS) models, with and without calibration, and five Penman-Monteith temperature (PMT) models were used in this study. The results show that the models' performance changes considerably, depending on whether the scale is annual or seasonal. The performance of the seven models was acceptable from an annual perspective (R-2 > 0.91, NSE > 0.88, MAE < 0.52 and RMSE < 0.69 mm d(-1); NSE - Nash-Sutcliffe model efficiency; MAE - mean absolute error; RMSE - root-mean-square error). For winter, no model showed good performance. In the rest of the seasons, the models with the best performance were the following three models: PMTCHU (Penman-Monteith temperature with calibration of Hargreaves empirical coefficient - k(RS), average monthly value of wind speed, and average monthly value of maximum and minimum relative humidity), HSC (Hargreaves-Samani with calibration of k(RS)) and PMTCHU (Penman-Monteith temperature without calibration of k(RS), average monthly value of wind speed and average monthly value of maximum and minimum relative humidity). The HSc model presents a calibration of the Hargreaves empirical coefficient (k(RS)). In the PMTCUH model, k(RS) was calibrated and average monthly values were used for wind speed and maximum and minimum relative humidity. Finally, the PMTCUH model is like the PMTCUH model except that k(RS) was not calibrated. These results are very useful for adopting appropriate measures for efficient water management, especially in the intensive agriculture in semi-arid zones, under the limitation of agrometeorological data.
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Keywords

AccuracyCalibrationClimateCoefficientsCrop evapotranspirationEquationLimited weather dataTrendsVariablesWater-use

Quality index

Bibliometric impact. Analysis of the contribution and dissemination channel

The work has been published in the journal NATURAL HAZARDS AND EARTH SYSTEM SCIENCES due to its progression and the good impact it has achieved in recent years, according to the agency WoS (JCR), it has become a reference in its field. In the year of publication of the work, 2020, it was in position 36/200, thus managing to position itself as a Q1 (Primer Cuartil), in the category Geosciences, Multidisciplinary.

From a relative perspective, and based on the normalized impact indicator calculated from World Citations provided by WoS (ESI, Clarivate), it yields a value for the citation normalization relative to the expected citation rate of: 2.34. This indicates that, compared to works in the same discipline and in the same year of publication, it ranks as a work cited above average. (source consulted: ESI Nov 13, 2025)

This information is reinforced by other indicators of the same type, which, although dynamic over time and dependent on the set of average global citations at the time of their calculation, consistently position the work at some point among the top 50% most cited in its field:

  • Weighted Average of Normalized Impact by the Scopus agency: 2.71 (source consulted: FECYT Mar 2025)

Specifically, and according to different indexing agencies, this work has accumulated citations as of 2026-04-25, the following number of citations:

  • WoS: 43
  • Scopus: 45
  • Google Scholar: 39
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Impact and social visibility

From the perspective of influence or social adoption, and based on metrics associated with mentions and interactions provided by agencies specializing in calculating the so-called "Alternative or Social Metrics," we can highlight as of 2026-04-25:

  • The use, from an academic perspective evidenced by the Altmetric agency indicator referring to aggregations made by the personal bibliographic manager Mendeley, gives us a total of: 80.
  • The use of this contribution in bookmarks, code forks, additions to favorite lists for recurrent reading, as well as general views, indicates that someone is using the publication as a basis for their current work. This may be a notable indicator of future more formal and academic citations. This claim is supported by the result of the "Capture" indicator, which yields a total of: 79 (PlumX).

With a more dissemination-oriented intent and targeting more general audiences, we can observe other more global scores such as:

  • The Total Score from Altmetric: 2.
  • The number of mentions on the social network X (formerly Twitter): 3 (Altmetric).

It is essential to present evidence supporting full alignment with institutional principles and guidelines on Open Science and the Conservation and Dissemination of Intellectual Heritage. A clear example of this is:

  • The work has been submitted to a journal whose editorial policy allows open Open Access publication.
  • Assignment of a Handle/URN as an identifier within the deposit in the Institutional Repository: https://oa.upm.es/91720/

As a result of the publication of the work in the institutional repository, statistical usage data has been obtained that reflects its impact. In terms of dissemination, we can state that, as of

  • Views: 56
  • Downloads: 36
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Leadership analysis of institutional authors

There is a significant leadership presence as some of the institution’s authors appear as the first or last signer, detailed as follows: First Author (MORATIEL YUGUEROS, RUBEN) and Last Author (ALMOROX ALONSO, JAVIER).

the author responsible for correspondence tasks has been MORATIEL YUGUEROS, RUBEN.

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Awards linked to the item

This research has been supported by MINECO (Ministerio de Economia y Competitividad) through the projects PRECISOST (AGL2016-77282-C3-2-R) and AGRISOST-CM (S2018/BAA-4330).
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