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Framework for Standardizing Less Data-Intensive Methods of Reference Evapotranspiration Estimation

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Abstract

Evapotranspiration is one of the vital components of water cycle and its accurate estimation is the key to sustainable management of irrigation water. The FAO Penman-Monteith (FAO-PM) method is recommended as the standard method for computing reference evapotranspiration (ETo) as well as for evaluating other indirect methods. However, due to the lack of weather data such as radiation, relative humidity and wind speed in many regions of the world, especially in developing countries, the FAO-PM method is difficult to use. To address this issue, a fairly robust methodology is proposed in this study to standardize two popular less data-intensive (temperature-based) ETo methods, viz., Hargreaves-Samani (HS) and Penman-Monteith Temperature (PMT) against the FAO-PM method. To achieve this goal, the daily and monthly biases of these two methods were adjusted using the weather data of 14 locations for the 1979–2003 period. Subsequently, the performance of the standardized (de-biased) less data-intensive methods were verified using salient statistical and graphical indicators for the 2004–2013 period. The results indicated that the HS and PMT methods underestimate ETo on a monthly time step by 9.62 and 14.77%, respectively. However, the performances of these methods significantly improve after the standardization. The estimates of ETo by the standardized less data-intensive methods were found to be in close agreement with those by the standard FAO-PM method, thereby suggesting the usefulness and applicability of the proposed framework in data-scarce situations irrespective of agro-climatic conditions.

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References

  • Alexandris S, Stricevic R, Petkovic S (2008) Comparative analysis of reference evapotranspiration from the surface of rainfed grass in central Serbia, calculated by six empirical methods against the Penman-Monteith formula. European Water 21(22):17–28

    Google Scholar 

  • Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration: guidelines for computing crop water requirements. FAO Irrigation and Drainage Paper 56, Food and Agriculture Organization (FAO), Rome, Italy

  • Allen RG, Pruitt WO, Wright JL, Howell TA, Ventura F, Snyder R, Itenfisu D, Steduto P, Berengena J, Beselga J, Smith M, Pereira LS, Raes D, Perrier A, Alves I, Walter I, Elliot R (2006) A recommendation on standardized surface resistance for hourly calculation of reference ETo by the FAO56 penman-Monteith method. Agric Water Manag 81:1–22

    Article  Google Scholar 

  • Bandyopadhyay A, Bhadra A, Swarnakar RK, Raghuwanshi NS, Singh R (2012) Estimation of reference evapotranspiration using a user-friendly decision support system: DSS ET. Agric For Meteorol 154–155:19–29

    Article  Google Scholar 

  • Belaineh G, Sumner D, Carter E, Clapp D (2014) Harmonizing multiple methods for reconstructing historical potential and reference evapotranspiration. J Hydrol Eng ASCE 19(8):05014006. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000935,05014006

    Article  Google Scholar 

  • Bogawski P, Bednorz E (2014) Comparison and validation of selected evapotranspiration models for conditions in Poland (Central Europe). Water Resour Manag 28:5021–5038

    Article  Google Scholar 

  • Carbone M, Principato F, Garafalo G, Piro P (2016) Comparison of evapotranspiration computation by FAO-56 and Hargreaves methods. J Irrig Drain Eng 142(8):06016007. https://doi.org/10.1061/(ASCE)IR.1943-4774.0001032

    Article  Google Scholar 

  • Garcia M, Raes D, Allen R, Herbas C (2004) Dynamics of reference evapotranspiration in the Bolivian highlands (Altiplano). Agric For Meteorol 125:67–82

    Article  Google Scholar 

  • Gavilan P, Berengena J, Allen RG (2007) Measuring versus estimating net radiation and soil heat flux: impact on penman Monteith reference ET estimates in semiarid regions. Agric Water Manag 89(3):275–286

    Article  Google Scholar 

  • Hargreaves G, Allen RG (2003) History of evaluation of Hargreaves evaporation equation. J Irrig Drain Eng 129(1):53–63

    Article  Google Scholar 

  • Hargreaves GH, Samani ZA (1985) Reference crop evapotranspiration from temperature. Appl Eng Agric 1(2):96–99

    Article  Google Scholar 

  • Jabloun M, Sahli A (2008) Evaluation of FAO-56 methodology for estimating reference evapotranspiration using limited climatic data: applications to Tunisia. Agric Water Manag 95:707–715

    Article  Google Scholar 

  • Keune H, Murray AB, Benking H (1991) Harmonization of environmental measurement. GeoJournal 23(3):249–255

    Article  Google Scholar 

  • Kisi O (2013) Comparison of different empirical methods for estimating daily reference evapotranspiration in Mediterranean climate. J Irrig Drain Eng 140(1):04013002. https://doi.org/10.1061/(ASCE)IR.1943-4774.0000664

    Article  Google Scholar 

  • Legates DR, McCabe GJ (1999) Evaluating the use of “goodness-of-fit” measures in hydrologic and hydroclimatic model validation. Water Resour Res 35(1):233–241

    Article  Google Scholar 

  • Lopez-Urrea R, Martin de Santa Olalla F, Fabeiro C, Moratalla A (2006) Testing evapotranspiration equations using lysimeter observations in a semiarid climate. Agric Water Manag 85:15–26

    Article  Google Scholar 

  • Maeda EE, Wiberg DA, Pellikka PKE (2011) Estimating reference evapotranspiration using remote sensing and empirical models in a region with limited ground data availability in Kenya. Appl Geogr 31:251–258

    Article  Google Scholar 

  • Mallikarjuna P, Jyothy SA, Murthy DS, Reddy KC (2014) Performance of recalibrated equations for the estimation of daily reference evapotranspiration. Water Resour Manag 28:4513–4535

    Article  Google Scholar 

  • McMahon TA, Peel MC, Lowe L, Srikanthan R, McVicar TR (2013) Estimating actual, potential, reference crop and pan evaporation using standard meteorological data: a pragmatic synthesis. Hydrol Earth Syst Sci 17:1331–1363

    Article  Google Scholar 

  • Sabziparvar A-A, Tabari H, Aeini A, Ghafouri M (2010) Evaluation of class a pan coefficient models for estimation of reference crop evapotranspiration in cold semi-arid and warm arid climates. Water Resour Manag 24:909–920

    Article  Google Scholar 

  • Sentelhas PC, Gillespie TJ, Santos EA (2010) Evaluation of FAO penman-Monteith and alternative methods for estimating reference evapotranspiration with missing data in southern Ontario, Canada. Agric Water Manag 97(5):635–644

    Article  Google Scholar 

  • Spiegel MR, Stephens LJ (2008) Schaum’s outlines statistics, 4th edn. Tata McGraw-Hill Publishing Company Limited, New Delhi

    Google Scholar 

  • Steduto P, Todorovic M, Caliandro A, Rubino P (2003) Daily reference evapo-transpiration estimates by the penman–Monteith equation in southern Italy. Constant vs. variable canopy resistance. Theor Appl Climatol 74:217–225

    Article  Google Scholar 

  • Tabari H, Marofia S, Aeini A, Talaee PH, Mohammadi K (2011) Trend analysis of reference evapotranspiration in the western half of Iran. Agric For Meteorol 151:128–136

    Article  Google Scholar 

  • Todorovic M, Karic B, Pereira LS (2013) Reference evapotranspiration estimate with limited weather data across a range of Mediterranean climates. J Hydrol 481:166–176

    Article  Google Scholar 

  • Valipour M (2014) Use of average data of 181 synoptic stations for estimation of reference crop evapotranspiration by temperature-based methods. Water Resour Manag 28(12):4237–4255

    Article  Google Scholar 

  • Ventura F, Spano D, Duce P, Snyder RL (1999) An evaluation of common evapotranspiration equations. Irrig Sci 18:163–170

    Article  Google Scholar 

  • Yoder RE, Odhiambo LO, Wright WC (2005) Evaluation of methods for estimating daily reference crop evapotranspiration at a site in the humid Southeast United States. Appl Eng Agric 21(2):197–202

    Article  Google Scholar 

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Authors and Affiliations

  1. AgFE Department, Indian Institute of Technology Kharagpur, Kharagpur, 721 302, India

    Laishram Kanta Singh, Madan K. Jha & Mohita Pandey

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  1. Laishram Kanta Singh
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  2. Madan K. Jha
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  3. Mohita Pandey
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Correspondence to Laishram Kanta Singh.

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Singh, L.K., Jha, M.K. & Pandey, M. Framework for Standardizing Less Data-Intensive Methods of Reference Evapotranspiration Estimation. Water Resour Manage 32, 4159–4175 (2018). https://doi.org/10.1007/s11269-018-2022-5

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