IDEAS home Printed from https://ideas.repec.org/a/eee/agiwat/v121y2013icp1-18.html
   My bibliography  Save this article

Estimation of ETo with Hargreaves–Samani and FAO-PM temperature methods for a wide range of climates in Iran

Author

Listed:
  • Raziei, Tayeb
  • Pereira, Luis S.

Abstract

Monthly data records of 40 Iranian stations distributed over the country, for the period 1971–2005, were utilized for estimation of reference evapotranspiration (ETo) using Penman–Monteith (PM-ETo), Hargreaves–Samani (HS) and FAO-PM temperature (PMT) methods. To estimate ETo with HS and PMT methods, appropriate kRs, an empirical radiation adjustment coefficient, were considered for each station, whereas Tmin was adjusted for estimation of Tdew and used only for PMT computation. It was found that the appropriate kRs for both HS and PMT methods are identical for a given station and it is generally smaller in sub-humid and humid than in semi-arid to hyper-arid climates. The performance of the PMT was further improved in both arid and humid climates when Tmin was adjusted. The result suggested that the HS and PMT methods appropriately predict ETo for all climatic regions of Iran if the appropriate kRs was utilized. However, the considered methods showed weak performances for some stations in arid and hyper-arid climates of eastern and southern Iran owing to the effect of extreme and variable wind speed inherent in the PM-ETo. Thus, the role played by wind speed in ETo estimation was examined; the result indicated that the existence of extreme winds, and also the time variability of wind speed, is responsible for the observed discrepancies between PMT and PM-ETo estimates. The spatial patterns of ETo computed with HS and PMT methods found to be identical and resemble to that of PM-ETo, all showing a gradual increasing from north to south, with the lowest ETo values observed over northern humid and sub-humid climates of Iran and larger ETo for arid and hyper-arid climates in the southern and eastern country. Results indicated that the HS and PMT methods are appropriate alternatives for estimation of ETo for all climatic regions of Iran.

Suggested Citation

  • Raziei, Tayeb & Pereira, Luis S., 2013. "Estimation of ETo with Hargreaves–Samani and FAO-PM temperature methods for a wide range of climates in Iran," Agricultural Water Management, Elsevier, vol. 121(C), pages 1-18.
    • Handle: RePEc:eee:agiwat:v:121:y:2013:i:c:p:1-18
    DOI: 10.1016/j.agwat.2012.12.019
    as

    Download full text from publisher

    File URL: http://www.sciencedirect.com/science/article/pii/S0378377413000048
    Download Restriction: Full text for ScienceDirect subscribers only
    File URL: https://libkey.io/10.1016/j.agwat.2012.12.019?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    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. Mohammadi, Hassan & Su, Lixian, 2010. "International evidence on crude oil price dynamics: Applications of ARIMA-GARCH models," Energy Economics, Elsevier, vol. 32(5), pages 1001-1008, September.
    2. Gavilan, Pedro & Berengena, Joaquin & Allen, Richard G., 2007. "Measuring versus estimating net radiation and soil heat flux: Impact on Penman-Monteith reference ET estimates in semiarid regions," Agricultural Water Management, Elsevier, vol. 89(3), pages 275-286, May.
    3. Allen, Richard G. & Pereira, Luis S. & Howell, Terry A. & Jensen, Marvin E., 2011. "Evapotranspiration information reporting: I. Factors governing measurement accuracy," Agricultural Water Management, Elsevier, vol. 98(6), pages 899-920, April.
    4. Dinpashoh, Yagob, 2006. "Study of reference crop evapotranspiration in I.R. of Iran," Agricultural Water Management, Elsevier, vol. 84(1-2), pages 123-129, July.
    5. Hossein Tabari, 2010. "Evaluation of Reference Crop Evapotranspiration Equations in Various Climates," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 24(10), pages 2311-2337, August.
    6. Diebold, Francis X & Mariano, Roberto S, 2002. "Comparing Predictive Accuracy," Journal of Business & Economic Statistics, American Statistical Association, vol. 20(1), pages 134-144, January.
    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. Slavisa Trajkovic & Srdjan Kolakovic, 2009. "Evaluation of Reference Evapotranspiration Equations Under Humid Conditions," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 23(14), pages 3057-3067, November.
    9. Allen, Richard G. & Pruitt, William O. & Wright, James L. & Howell, Terry A. & Ventura, Francesca & Snyder, Richard & Itenfisu, Daniel & Steduto, Pasquale & Berengena, Joaquin & Yrisarry, Javier Basel, 2006. "A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 Penman-Monteith method," Agricultural Water Management, Elsevier, vol. 81(1-2), pages 1-22, 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. Xiao, Chunan & Cai, Jiabing & Zhang, Baozhong & Chang, Hongfang & Wei, Zheng, 2023. "Evaluation and verification of two evapotranspiration models based on precision screening and partitioning of field temperature data," Agricultural Water Management, Elsevier, vol. 278(C).
    2. Rafiei-Sardooi, Elham & Azareh, Ali & Joorabian Shooshtari, Sharif & Parteli, Eric J.R., 2022. "Long-term assessment of land-use and climate change on water scarcity in an arid basin in Iran," Ecological Modelling, Elsevier, vol. 467(C).
    3. Santos, Reginaldo Ferreira & Bassegio, Doglas & de Almeida Silva, Marcelo, 2017. "Productivity and production components of safflower genotypes affected by irrigation at phenological stages," Agricultural Water Management, Elsevier, vol. 186(C), pages 66-74.
    4. Xue, Jingyuan & Fulton, Allan & Kisekka, Isaya, 2021. "Evaluating the role of remote sensing-based energy balance models in improving site-specific irrigation management for young walnut orchards," Agricultural Water Management, Elsevier, vol. 256(C).
    5. Gonçalo C. Rodrigues & Ricardo P. Braga, 2021. "Estimation of Reference Evapotranspiration during the Irrigation Season Using Nine Temperature-Based Methods in a Hot-Summer Mediterranean Climate," Agriculture, MDPI, vol. 11(2), pages 1-13, February.
    6. Gonçalo C. Rodrigues & Ricardo P. Braga, 2021. "A Simple Procedure to Estimate Reference Evapotranspiration during the Irrigation Season in a Hot-Summer Mediterranean Climate," Sustainability, MDPI, vol. 13(1), pages 1-13, January.
    7. 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).
    8. Souza, João V.R.S. & Saad, João C.C. & Sánchez-Román, Rodrigo M. & Rodríguez-Sinobas, Leonor, 2016. "No-till and direct seeding agriculture in irrigated bean: Effect of incorporating crop residues on soil water availability and retention, and yield," Agricultural Water Management, Elsevier, vol. 170(C), pages 158-166.
    9. 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).
    10. Vásquez, Cristina & Célleri, Rolando & Córdova, Mario & Carrillo-Rojas, Galo, 2022. "Improving reference evapotranspiration (ETo) calculation under limited data conditions in the high Tropical Andes," Agricultural Water Management, Elsevier, vol. 262(C).
    11. Junzeng Xu & Junmei Wang & Qi Wei & Yanhua Wang, 2016. "Symbolic Regression Equations for Calculating Daily Reference Evapotranspiration with the Same Input to Hargreaves-Samani in Arid China," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(6), pages 2055-2073, April.
    12. Paredes, P. & Pereira, L.S., 2019. "Computing FAO56 reference grass evapotranspiration PM-ETo from temperature with focus on solar radiation," Agricultural Water Management, Elsevier, vol. 215(C), pages 86-102.
    13. Ahmadzadeh Araji, Hamidreza & Wayayok, Aimrun & Massah Bavani, Alireza & Amiri, Ebrahim & Abdullah, Ahmad Fikri & Daneshian, Jahanfar & Teh, C.B.S., 2018. "Impacts of climate change on soybean production under different treatments of field experiments considering the uncertainty of general circulation models," Agricultural Water Management, Elsevier, vol. 205(C), pages 63-71.
    14. Xiaodong Ren & Diogo S. Martins & Zhongyi Qu & Paula Paredes & Luis S. Pereira, 2016. "Daily Reference Evapotranspiration for Hyper-Arid to Moist Sub-Humid Climates in Inner Mongolia, China: II. Trends of ETo and Weather Variables and Related Spatial Patterns," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3793-3814, September.
    15. Cruz-Blanco, M. & Lorite, I.J. & Santos, C., 2014. "An innovative remote sensing based reference evapotranspiration method to support irrigation water management under semi-arid conditions," Agricultural Water Management, Elsevier, vol. 131(C), pages 135-145.
    16. Tomas-Burguera, Miquel & Vicente-Serrano, Sergio M. & Grimalt, Miquel & Beguería, Santiago, 2017. "Accuracy of reference evapotranspiration (ETo) estimates under data scarcity scenarios in the Iberian Peninsula," Agricultural Water Management, Elsevier, vol. 182(C), pages 103-116.
    17. Yang, Yang & Luo, Yufeng & Wu, Conglin & Zheng, Hezhen & Zhang, Lei & Cui, Yuanlai & Sun, Ningning & Wang, Li, 2019. "Evaluation of six equations for daily reference evapotranspiration estimating using public weather forecast message for different climate regions across China," Agricultural Water Management, Elsevier, vol. 222(C), pages 386-399.
    18. Paredes, Paula & Martins, Diogo S. & Pereira, Luis Santos & Cadima, Jorge & Pires, Carlos, 2018. "Accuracy of daily estimation of grass reference evapotranspiration using ERA-Interim reanalysis products with assessment of alternative bias correction schemes," Agricultural Water Management, Elsevier, vol. 210(C), pages 340-353.
    19. Raziei, Tayeb & Pereira, Luis S., 2013. "Spatial variability analysis of reference evapotranspiration in Iran utilizing fine resolution gridded datasets," Agricultural Water Management, Elsevier, vol. 126(C), pages 104-118.
    20. Luis Santos Pereira, 2017. "Water, Agriculture and Food: Challenges and Issues," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 31(10), pages 2985-2999, August.
    21. 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).
    22. Nouri, Milad & Homaee, Mehdi, 2022. "Reference crop evapotranspiration for data-sparse regions using reanalysis products," Agricultural Water Management, Elsevier, vol. 262(C).
    23. Daniela D’Agostino & Alessandra Scardigno & Nicola Lamaddalena & Daniel Chami, 2014. "Sensitivity Analysis of Coupled Hydro-Economic Models: Quantifying Climate Change Uncertainty for Decision-Making," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 28(12), pages 4303-4318, September.

    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. 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).
    2. Viktor Dubovský & Dagmar Dlouhá & Lukáš Pospíšil, 2020. "The Calibration of Evaporation Models against the Penman–Monteith Equation on Lake Most," Sustainability, MDPI, vol. 13(1), pages 1-17, December.
    3. Nouri, Milad & Homaee, Mehdi, 2022. "Reference crop evapotranspiration for data-sparse regions using reanalysis products," Agricultural Water Management, Elsevier, vol. 262(C).
    4. de Oliveira, Renan G. & Valle Júnior, Luiz Claudio G. & da Silva, Jonh Billy & Espíndola, Duani A.L.F. & Lopes, Rute D. & Nogueira, José S. & Curado, Leone F.A. & Rodrigues, Thiago R., 2021. "Temporal trend changes in reference evapotranspiration contrasting different land uses in southern Amazon basin," Agricultural Water Management, Elsevier, vol. 250(C).
    5. Laishram Kanta Singh & Madan K. Jha & Mohita Pandey, 2018. "Framework for Standardizing Less Data-Intensive Methods of Reference Evapotranspiration Estimation," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 32(13), pages 4159-4175, October.
    6. Xiaodong Ren & Zhongyi Qu & Diogo S. Martins & Paula Paredes & Luis S. Pereira, 2016. "Daily Reference Evapotranspiration for Hyper-Arid to Moist Sub-Humid Climates in Inner Mongolia, China: I. Assessing Temperature Methods and Spatial Variability," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 30(11), pages 3769-3791, September.
    7. Paredes, P. & Pereira, L.S., 2019. "Computing FAO56 reference grass evapotranspiration PM-ETo from temperature with focus on solar radiation," Agricultural Water Management, Elsevier, vol. 215(C), pages 86-102.
    8. Ayyoub, A. & Er-Raki, S. & Khabba, S. & Merlin, O. & Ezzahar, J. & Rodriguez, J.C. & Bahlaoui, A. & Chehbouni, A., 2017. "A simple and alternative approach based on reference evapotranspiration and leaf area index for estimating tree transpiration in semi-arid regions," Agricultural Water Management, Elsevier, vol. 188(C), pages 61-68.
    9. Ali Sabziparvar & Roya Mousavi & Safar Marofi & Niaz Ebrahimipak & Majid Heidari, 2013. "An Improved Estimation of the Angstrom–Prescott Radiation Coefficients for the FAO56 Penman–Monteith Evapotranspiration Method," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 27(8), pages 2839-2854, June.
    10. Althoff, Daniel & Filgueiras, Roberto & Dias, Santos Henrique Brant & Rodrigues, Lineu Neiva, 2019. "Impact of sum-of-hourly and daily timesteps in the computations of reference evapotranspiration across the Brazilian territory," Agricultural Water Management, Elsevier, vol. 226(C).
    11. Wei, Yu & Liu, Jing & Lai, Xiaodong & Hu, Yang, 2017. "Which determinant is the most informative in forecasting crude oil market volatility: Fundamental, speculation, or uncertainty?," Energy Economics, Elsevier, vol. 68(C), pages 141-150.
    12. Pozníková, Gabriela & Fischer, Milan & van Kesteren, Bram & Orság, Matěj & Hlavinka, Petr & Žalud, Zdeněk & Trnka, Miroslav, 2018. "Quantifying turbulent energy fluxes and evapotranspiration in agricultural field conditions: A comparison of micrometeorological methods," Agricultural Water Management, Elsevier, vol. 209(C), pages 249-263.
    13. Halkos, George E. & Tsirivis, Apostolos S., 2019. "Effective energy commodity risk management: Econometric modeling of price volatility," Economic Analysis and Policy, Elsevier, vol. 63(C), pages 234-250.
    14. Houshang Ghamarnia & Vahid Rezvani & Erfan Khodaei & Hossein Mirzaei, 2012. "Time and Place Calibration of the Hargreaves Equation for Estimating Monthly Reference Evapotranspiration under Different Climatic Conditions," Journal of Agricultural Science, Canadian Center of Science and Education, vol. 4(3), pages 111-111, January.
    15. Lang, Korbinian & Auer, Benjamin R., 2020. "The economic and financial properties of crude oil: A review," The North American Journal of Economics and Finance, Elsevier, vol. 52(C).
    16. Laura Şmuleac & Ciprian Rujescu & Adrian Șmuleac & Florin Imbrea & Isidora Radulov & Dan Manea & Anișoara Ienciu & Tabita Adamov & Raul Pașcalău, 2020. "Impact of Climate Change in the Banat Plain, Western Romania, on the Accessibility of Water for Crop Production in Agriculture," Agriculture, MDPI, vol. 10(10), pages 1-24, September.
    17. Ma, Feng & Liu, Jing & Wahab, M.I.M. & Zhang, Yaojie, 2018. "Forecasting the aggregate oil price volatility in a data-rich environment," Economic Modelling, Elsevier, vol. 72(C), pages 320-332.
    18. Ali Rahimikhoob & Mahmood Behbahani & Javad Fakheri, 2012. "An Evaluation of Four Reference Evapotranspiration Models in a Subtropical Climate," Water Resources Management: An International Journal, Published for the European Water Resources Association (EWRA), Springer;European Water Resources Association (EWRA), vol. 26(10), pages 2867-2881, August.
    19. Shiri, Jalal, 2017. "Evaluation of FAO56-PM, empirical, semi-empirical and gene expression programming approaches for estimating daily reference evapotranspiration in hyper-arid regions of Iran," Agricultural Water Management, Elsevier, vol. 188(C), pages 101-114.
    20. Zied Ftiti & Kais Tissaoui & Sahbi Boubaker, 2022. "On the relationship between oil and gas markets: a new forecasting framework based on a machine learning approach," Annals of Operations Research, Springer, vol. 313(2), pages 915-943, June.

    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:121:y:2013:i:c:p:1-18. 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.