IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v96y2009i3p465-472.html
   My bibliography  Save this article

Estimating reference evapotranspiration with atmometers in a semiarid environment

Author

Listed:
  • Gavilán, P.
  • Castillo-Llanque, F.

Abstract

Reference evapotranspiration (ET0) estimations require accurate measurements of meteorological variables (solar radiation, air temperature, wind speed, and relative humidity) which are not available in many countries of the world. Alternative approaches are the use of Class A pan evaporimeters and atmometers, which have several advantages compared to meteorological stations: they are simple, inexpensive and provide a visual interpretation of ET0. The objectives of the study were to compare the evaporation from atmometers (ETgage) with the evapotranspiration estimated by the FAO-56 Penman-Monteith equation (ET0PM) and to evaluate the variability between three modified atmometers of a commercial model. Comparison between daily ETgage measured by the atmometer and ET0PM showed a good correlation. However, ETgage underestimated ET0PM by approximately 9%. Differences between ETgage and ET0PM ranged from -2.4 to 2.2 mm d-1 while the mean bias error was -0.41 mm d-1. Underestimations occurred more frequently on days with low maximum temperatures and high wind speeds. On the contrary, atmometer overestimations occurred on days with high maximum temperatures and low wind speeds. Estimates of ET0 using the atmometer appeared to be more accurate under non-windy conditions and moderate temperatures as well as under windy conditions and high temperatures. Atmometers 2 and 3 overestimated the evaporated water by atmometer 1 with a maximum variability of cumulative water losses of 4.5%. A temperature-based calibration was performed to improve the atmometer accuracy, using maximum temperature as an independent variable, with good results.

Suggested Citation

  • Gavilán, P. & Castillo-Llanque, F., 2009. "Estimating reference evapotranspiration with atmometers in a semiarid environment," Agricultural Water Management, Elsevier, vol. 96(3), pages 465-472, March.
    • Handle: RePEc:eee:agiwat:v:96:y:2009:i:3:p:465-472
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378-3774(08)00224-2
    Download Restriction: Full text for ScienceDirect subscribers only
    ---><---

    As the access to this document is restricted, you may want to search for a different version of it.

    References listed on IDEAS

    as
    1. Magliulo, V. & d'Andria, R. & Rana, G., 2003. "Use of the modified atmometer to estimate reference evapotranspiration in Mediterranean environments," Agricultural Water Management, Elsevier, vol. 63(1), pages 1-14, November.
    2. Martinez-Cob, A. & Tejero-Juste, M., 2004. "A wind-based qualitative calibration of the Hargreaves ET0 estimation equation in semiarid regions," Agricultural Water Management, Elsevier, vol. 64(3), pages 251-264, February.
    3. Gavilan, P. & Lorite, I.J. & Tornero, S. & Berengena, J., 2006. "Regional calibration of Hargreaves equation for estimating reference ET in a semiarid environment," Agricultural Water Management, Elsevier, vol. 81(3), pages 257-281, March.
    Full references (including those not matched with items on IDEAS)

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Hlavinka, Petr & Trnka, Miroslav & Balek, Jan & Semerádová, Daniela & Hayes, Michael & Svoboda, Mark & Eitzinger, Josef & Mozný, Martin & Fischer, Milan & Hunt, Eric & Zalud, Zdenek, 2011. "Development and evaluation of the SoilClim model for water balance and soil climate estimates," Agricultural Water Management, Elsevier, vol. 98(8), pages 1249-1261, May.
    2. Straatmann, Zachary & Stevens, Gene & Vories, Earl & Guinan, Pat & Travlos, John & Rhine, Matthew, 2018. "Measuring short-crop reference evapotranspiration in a humid region using electronic atmometers," Agricultural Water Management, Elsevier, vol. 195(C), pages 180-186.
    3. Yang, Yang & Cui, Yuanlai & Bai, Kaihua & Luo, Tongyuan & Dai, Junfeng & Wang, Weiguang & Luo, Yufeng, 2019. "Short-term forecasting of daily reference evapotranspiration using the reduced-set Penman-Monteith model and public weather forecasts," Agricultural Water Management, Elsevier, vol. 211(C), pages 70-80.
    4. Gleason, D.J. & Andales, A.A. & Bauder, T.A. & Chávez, J.L., 2013. "Performance of atmometers in estimating reference evapotranspiration in a semi-arid environment," Agricultural Water Management, Elsevier, vol. 130(C), pages 27-35.
    5. Saadon, Tal & Lazarovitch, Naftali & Jerszurki, Daniela & Tas, Eran, 2021. "Predicting net radiation in naturally ventilated greenhouses based on outside global solar radiation for reference evapotranspiration estimation," Agricultural Water Management, Elsevier, vol. 257(C).

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Landeras, Gorka & Ortiz-Barredo, Amaia & López, Jose Javier, 2008. "Comparison of artificial neural network models and empirical and semi-empirical equations for daily reference evapotranspiration estimation in the Basque Country (Northern Spain)," Agricultural Water Management, Elsevier, vol. 95(5), pages 553-565, May.
    2. Bellido-Jiménez, Juan Antonio & Estévez, Javier & García-Marín, Amanda Penélope, 2021. "New machine learning approaches to improve reference evapotranspiration estimates using intra-daily temperature-based variables in a semi-arid region of Spain," Agricultural Water Management, Elsevier, vol. 245(C).
    3. Kim, Ho-Jun & Chandrasekara, Sewwandhi & Kwon, Hyun-Han & Lima, Carlos & Kim, Tae-woong, 2023. "A novel multi-scale parameter estimation approach to the Hargreaves-Samani equation for estimation of Penman-Monteith reference evapotranspiration," Agricultural Water Management, Elsevier, vol. 275(C).
    4. Paredes, P. & Pereira, L.S. & Almorox, J. & Darouich, H., 2020. "Reference grass evapotranspiration with reduced data sets: Parameterization of the FAO Penman-Monteith temperature approach and the Hargeaves-Samani equation using local climatic variables," Agricultural Water Management, Elsevier, vol. 240(C).
    5. Nouri, Milad & Homaee, Mehdi, 2022. "Reference crop evapotranspiration for data-sparse regions using reanalysis products," Agricultural Water Management, Elsevier, vol. 262(C).
    6. Liu, Xiaoying & Xu, Chunying & Zhong, Xiuli & Li, Yuzhong & Yuan, Xiaohuan & Cao, Jingfeng, 2017. "Comparison of 16 models for reference crop evapotranspiration against weighing lysimeter measurement," Agricultural Water Management, Elsevier, vol. 184(C), pages 145-155.
    7. Jabloun, M. & Sahli, A., 2008. "Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data: Application to Tunisia," Agricultural Water Management, Elsevier, vol. 95(6), pages 707-715, June.
    8. Estévez, J. & García-Marín, A.P & Morábito, J.A & Cavagnaro, M., 2016. "Quality assurance procedures for validating meteorological input variables of reference evapotranspiration in mendoza province (Argentina)," Agricultural Water Management, Elsevier, vol. 172(C), pages 96-109.
    9. Martínez-Cob, A. & Faci, J.M., 2010. "Evapotranspiration of an hedge-pruned olive orchard in a semiarid area of NE Spain," Agricultural Water Management, Elsevier, vol. 97(3), pages 410-418, March.
    10. I. García-Garizábal & J. Causapé & R. Abrahao & D. Merchan, 2014. "Impact of Climate Change on Mediterranean Irrigation Demand: Historical Dynamics of Climate and Future Projections," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(5), pages 1449-1462, March.
    11. Feng, Yu & Jia, Yue & Cui, Ningbo & Zhao, Lu & Li, Chen & Gong, Daozhi, 2017. "Calibration of Hargreaves model for reference evapotranspiration estimation in Sichuan basin of southwest China," Agricultural Water Management, Elsevier, vol. 181(C), pages 1-9.
    12. Ignacio Lorite & Margarita García-Vila & María-Ascensión Carmona & Cristina Santos & María-Auxiliadora Soriano, 2012. "Assessment of the Irrigation Advisory Services’ Recommendations and Farmers’ Irrigation Management: A Case Study in Southern Spain," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(8), pages 2397-2419, June.
    13. Wu, Lifeng & Peng, Youwen & Fan, Junliang & Wang, Yicheng & Huang, Guomin, 2021. "A novel kernel extreme learning machine model coupled with K-means clustering and firefly algorithm for estimating monthly reference evapotranspiration in parallel computation," Agricultural Water Management, Elsevier, vol. 245(C).
    14. Hadeel E. Khairan & Salah L. Zubaidi & Mustafa Al-Mukhtar & Anmar Dulaimi & Hussein Al-Bugharbee & Furat A. Al-Faraj & Hussein Mohammed Ridha, 2023. "Assessing the Potential of Hybrid-Based Metaheuristic Algorithms Integrated with ANNs for Accurate Reference Evapotranspiration Forecasting," Sustainability, MDPI, vol. 15(19), pages 1-19, September.
    15. Paredes, Paula & Trigo, Isabel & de Bruin, Henk & Simões, Nuno & Pereira, Luis S., 2021. "Daily grass reference evapotranspiration with Meteosat Second Generation shortwave radiation and reference ET products," Agricultural Water Management, Elsevier, vol. 248(C).
    16. Bonachela, S. & Quesada, J. & Acuña, R.A. & Magán, J.J. & Marfà, O., 2010. "Oxyfertigation of a greenhouse tomato crop grown on rockwool slabs and irrigated with treated wastewater: Oxygen content dynamics and crop response," Agricultural Water Management, Elsevier, vol. 97(3), pages 433-438, March.
    17. Bellido-Jiménez, Juan A. & Estévez, Javier & García-Marín, Amanda P., 2022. "A regional machine learning method to outperform temperature-based reference evapotranspiration estimations in Southern Spain," Agricultural Water Management, Elsevier, vol. 274(C).
    18. K. Chun & H. Wheater & C. Onof, 2012. "Projecting and hindcasting potential evaporation for the UK between 1950 and 2099," Climatic Change, Springer, vol. 113(3), pages 639-661, August.
    19. Zhang, Yuliang & Wu, Zhiyong & Singh, Vijay P. & He, Hai & He, Jian & Yin, Hao & Zhang, Yaxin, 2021. "Coupled hydrology-crop growth model incorporating an improved evapotranspiration module," Agricultural Water Management, Elsevier, vol. 246(C).
    20. Dari, Jacopo & Quintana-Seguí, Pere & Morbidelli, Renato & Saltalippi, Carla & Flammini, Alessia & Giugliarelli, Elena & Escorihuela, María José & Stefan, Vivien & Brocca, Luca, 2022. "Irrigation estimates from space: Implementation of different approaches to model the evapotranspiration contribution within a soil-moisture-based inversion algorithm," Agricultural Water Management, Elsevier, vol. 265(C).

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:eee:agiwat:v:96:y:2009:i:3:p:465-472. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: Catherine Liu (email available below). General contact details of provider: http://www.elsevier.com/locate/agwat .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.