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Water Resources Management

Erschienen in:

01.01.2014

Evaluation of Radiation-Based Reference Evapotranspiration Models Under Different Mediterranean Climates in Central Greece

verfasst von: Dimitrios A. Samaras, Albert Reif, Konstantinos Theodoropoulos

Erschienen in: Water Resources Management | Ausgabe 1/2014

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Abstract

Eighteen radiation-based equations used to estimate reference evapotranspiration (ET_ref) were generalized into seven linear models. The general models were calibrated using the standard FAO-56 Penman-Monteith method. Model performance was evaluated under humid, sub-humid and semi-arid mediterranean climatic conditions in central Greece. Evaluation and comparison of the models was based on quantitative assessment of their ability to accurately estimate ET_ref values, generated by the FAO-56 Penman-Monteith equation. All models provided relatively accurate estimates of ET_ref. The Abtew model showed the best overall performance with respect to the data from all available climate stations of central Greece. The average error of the Abtew model in the monthly average daily ET_ref estimates was 0.24 mm, which corresponds to a relative error of 7.7 %. The Abtew method has not yet been tested under mediterranean climatic conditions. Based on our results, it seems to be a good choice for the estimation of monthly average daily ET_ref under different conditions in the mediterranean climate. An exception appears to be the mediterranean climate with relatively high humidity and low wind speed. Under these conditions the models of the Priestley-Taylor group, the Makkink group and the Jensen-Haise group performed better than the Abtew equation.

Vorheriger Artikel Modeling Nonlinear Monthly Evapotranspiration Using Soft Computing and Data Reconstruction Techniques

Nächster Artikel Temporal Change Analysis Based on Data Characteristics and Nonparametric Test

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A hypothetical reference crop with an assumed crop height of 0.12 m, a fixed surface resistance of 70 s · m ^{− 1} and an albedo of 0.23.

Based on the aridity index (AI = P / PET), where P is the annual precipitation and PET the annual potential evapotranspiration, the climate is considered as semi-arid (0.2 < AI < 0.5), sub-humid (0.5 < AI < 0.75) and humid (AI > 0.75).

Abtew W (1996) Evapotranspiration measurements and modeling for three wetland systems in South Florida. J Am Water Resour Assoc 32(3):465–473CrossRef

Alexandris S, Kerkides P, Liakatas A (2006) Daily reference evapotranspiration estimates by the “Copais” approach. Agric Water Manage 82(3):371–386CrossRef

Allen RG, Pereira LS, Raes D, Smith M (1998) Crop evapotranspiration - guidelines for computing crop water requirements. Tech. rep., FAO - Food and Agriculture Organization of the United Nations, Rome

Bellocchi G, Rivington M, Donatelli M, Matthews K (2010) Validation of biophysical models: issues and methodologies. A review. Agron Sustainable Dev 30(1):109–130CrossRef

Berengena J, Gavilán P (2005) Reference evapotranspiration estimation in a highly advective semiarid environment. J Irrig Drain Eng 131(2):147–163CrossRef

Black JN, Bonython CW, Prescott JA (1954) Solar radiation and the duration of sunshine. Q J R Meteorol Soc 80(344):231–235CrossRef

de Bruin HAR (1981) The determination of (reference crop) evapotranspiration from routine weather data. In: Proceedings of Technical Meeting 38, Evaporation in Relation to Hydrology, Committee for Hydrological Research TNO, The Hague, 28, pp 25–37

de Bruin HAR, Lablans WN (1998) Reference crop evapotranspiration determined with a modified Makkink equation. Hydrol Processes 12(7):1053–1062CrossRef

Caprio JM (1974) The solar thermal unit concept in problems related to plant development and potential evapotranspiration. In: Lieth H (ed) Phenology and seasonality modeling, ecological studies, vol 8. Springer, New York, pp 353–364

Castañeda L, Rao P (2005) Comparison of methods for estimating reference evapotranspiration in Southern California. J Environ Hydrol 13(14):1–10

Christiansen JE (1968) Pan evaporation and evapotranspiration from climatic data. J Irrig Drain Div 94:243–265

Efron B, Tibshirani RJ (1993) An introduction to the bootstrap. No. 57 in monographs on statistics and applied probability. Chapman & Hall, New YorkCrossRef

Er-Raki S, Chehbouni G, Guemouria N, Ezzahar J, Duchemin B, Boulet G, Hadria R, Lakhal A, Chehbouni A, Rodriguez JC (2004) Measurement of evapotranspiration and development of crop coefficients of olive (Olea europaea L.) orchards in semi arid region (Marrakech, Morocco). Actes du Séminaire “Modernisation de l’ Agriculture Irriguée”, Rabat, 19–23 April

FAO (1989) Arid zone forestry: a guide for field technicians. No. 20 in FAO Conservation Guide, Food and Agriculture Organization of the United Nations, Rome

Feddes RA, Lenselink KJ (1994) Evapotranspiration. In: Ritzema HP (ed) Drainage principles and applications, 2nd edn, no. 16 in ILRI Publication, International Institute for Land Reclamation and Improvement (ILRI), Wageningen, pp 145–174

Flocas AA (1980) Estimation and prediction of global solar radiation over Greece. Sol Energy 24(1):63–70CrossRef

Fox DG (1981) Judging air quality model performance. Bull Am Meteorol Soc 62(5):599–609CrossRef

Gebhart S, Radoglou K, Chalivopoulos G, Matzarakis A (2013) Evaluation of potential evapotranspiration in central Macedonia by EmPEst. In: Helmis C, Nastos P (eds) Advances in meteorology, climatology and atmospheric physics, springer atmospheric sciencies, vol 2. Springer, Berlin, pp 451–456

George BA, Reddy BRS, Raghuwanshi NS, Wallender WW (2002) Decision support system for estimating reference evapotranspiration. J Irrig Drain Eng 128(1):1–10CrossRef

Glover J, McCulloch JSG (1958) The empirical relation between solar radiation and hours of sunshine. Q J R Meteorol Soc 84(360):172–175CrossRef

Hansen S (1984) Estimation of potential and actual evapotranspiration. Nord Hydrol 15(4–5):205–212

Hargreaves GH (1975) Moisture availability and crop production. ASCE Trans 18(5):980–984

Hargreaves GH, Allen RG (2003) History and evaluation of hargreaves evapotranspiration equation. J Irrig Drain Eng 129(1):53–63CrossRef

Hargreaves GH, Samani ZA (1982) Estimating potential evapotranspiration. J Irrig Drain Div 108(3):225–230

Irmak S, Allen RG, Whitty EB (2003a) Daily grass and alfalfa-reference evapotranspiration estimates and alfalfa-to-grass evapotranspiration ratios in Florida. J Irrig Drain Eng 129(5):360–370CrossRef

Irmak S, Irmak A, Allen RG, Jones JW (2003b) Solar and net radiation-based equations to estimate reference evapotranspiration in humid climates. J Irrig Drain Eng 129(5):336–347CrossRef

Jensen ME (1966) Empirical methods of estimating or predicting evapotranspiration using radiation. In: Evapotranspiration and its role in water resources management. American Society of Agricultural Engineers, Chicago, pp 49–53, 64

Jensen ME, Haise HR (1963) Estimating evapotranspiration from solar radiation. J Irrig Drain Div 89:15–41

Janssen PHM, Heuberger PSC (1995) Calibration of process-oriented models. Ecol Modell 83(1–2):55–66CrossRef

Jensen ME, Burman RD, Allen RG (1990) Evapotranspiration and irrigation water requirements. Tech. Rep. 70, American Society of Civil Engineers, New York

Koutsoyiannis D, Xanthopoulos T (1999) Engineering hydrology, 3rd edn. National Technical University of Athens, Athens

Legates DR (1999) Evaluating the use of “Goodness-of-Fit” measures in hydrologic and hydroclimatic model validation. Water Resour Res 35(1):233–241CrossRef

Lu J, Sun G, McNulty SG, Amatya DM (2005) A comparison of six potential evapotranspiration methods for regional use in the southeastern United States. J Am Water Resour Assoc 41(3):621–633CrossRef

Maindonald J, Braun WJ (2007) Assessing predictive accuracy. In: Data analysis and graphics using R: an example-based approach, 2nd edn. Cambridge University Press, Cambridge, pp 158–164

Makkink GF (1957) Testing the Penman formula by means of lysimeters. J Inst Water Eng 11(3):277–288

Martinez-Lozano JA, Tena F, Onrubia JE, de la Rubia J (1984) The historical evolution of the Angström formula and its modifications: review and bibliography. Agric Meteorol 33(2–3):109–128CrossRef

Melesse AM, Abtew W, Dessalegne T (2009) Evaporation estimation of rift valley lakes: comparison of models. Sensors 9(12):9603–9615CrossRef

Michalopoulou H, Papaioannou G (1991) Reference crop evapotranspiration over Greece. Agric Water Manage 20(3):209–221CrossRef

Middleton N, Thomas D (1992) World atlas of desertification, 1st edn. UNEP, United Nations Environment Programme. Edward Arnold, London

Mohawesh OE (2011) Evaluation of evapotranspiration models for estimating daily reference evapotranspiration in arid and semiarid environments. Plant Soil Environ 57(4):145–152

Paltineanu C, Panoras AG, Mavroudis IG, Louisakis A (1999) Estimating reference evapotranspiration and irrigation water requirements in the Gallikos river basin. Greece 13(1):46–62

Priestley CHB, Taylor RJ (1972) On the assessment of surface heat flux and evaporation using large-scale parameters. Mon Weather Rev 100(2):81–92CrossRef

R Core Team (2010) R: A language and environment for statistical computing. R Foundation for Statistical Computing, Vienna, http://www.R-project.org. Version 2.11.0, Accessed 23 June 2010

Rahimikhoob A, Behbahani M, Fakheri J (2012) An evaluation of four reference evapotranspiration models in a subtropical climate. Water Resour Manage 26(10):2867–2881CrossRef

Samani Z (2000) Estimating solar radiation and evapotranspiration using minimum climatological data. J Irrig Drain Eng 126(4):265–267CrossRef

Stephens JC (1965) Discussion of “Estimating evaporation from insolation”. J Hydraul Div 91:171–182

Stephens JC, Stewart EH (1963) A comparison of procedures for computing evaporation and evapotranspiration. In: General assembly of Berkeley, international association of hydrological sciences, Berkeley, vol 62, pp 123–133

Stone M (1974) Cross-Validatory choice and assessment of statistical predictions. J R Stat Soc B 36(2):111–147

Tabari H (2010) Evaluation of reference crop evapotranspiration equations in various climates. Water Resour Manage 24(10):2311–2337CrossRef

Tegos A, Efstratiadis A, Koutsoyiannis D (2013) A parametric model for potential evapotranspiration estimation based on a simplified formulation of the Penman-Monteith equation. In: Alexandris S, Stricevic R (eds) Evapotranspiration - an overview. InTech, Rijeka, Croatia, pp 143–165

Teixeira J, Shahidian S, Rolim J (2008) Regional analysis and calibration for the south of Portugal of a simple evapotranspiration model for use in an autonomous landscape irrigation controller. WSEAS Trans Environ Dev 4(8):676–686

Tibshirani R (2009) bootstrap: functions for the book “An introduction to the bootstrap”. http://CRAN.R-project.org/package=bootstrap. R package version 1.0–22, Accessed 28 May 2009

Trajkovic S (2005) Temperature-based approaches for estimating reference evapotranspiration. J Irrig Drain Eng 131(4):316–323CrossRef

Turc L (1961) Estimation of irrigation water requirements, potential evapotranspiration: a simple climatic formula evolved up to date. Ann Agron 12:13–49

Willmott CJ (1984) On the evaluation of model performance in physical geography. In: Gaile GL, Willmott CJ (eds) Spatial statistics and models, theory and decision library, vol 40. Reidel Publishing Company, The Netherlands, pp 443–460

Xu CY, Singh VP (2000) Evaluation and generalization of radiation-based methods for calculating evaporation. Hydrol Processes 14(2):339–349CrossRef

Xu CY, Singh VP (2001) Evaluation and generalization of temperature-based methods for calculating evaporation. Hydrol Processes 15(2):305–319CrossRef

Xu CY, Singh VP (2002) Cross comparison of empirical equations for calculating potential evapotranspiration with data from Switzerland. Water Resour Manage 16(3):197–219CrossRef

Xu CY, Singh VP, Chen YD, Chen D (2008) Evaporation and evapotranspiration. In: Singh VP (ed) Hydrology and hydraulics, 1st edn. Water Resources Pubns, USA, pp 229–276

Xystrakis F, Matzarakis A (2011) Evaluation of 13 empirical reference potential evapotranspiration equations on the island of Crete in Southern Greece. J Irrig Drain Eng 137(4):211–222CrossRef

Titel: Evaluation of Radiation-Based Reference Evapotranspiration Models Under Different Mediterranean Climates in Central Greece
verfasst von: Dimitrios A. Samaras
Albert Reif
Konstantinos Theodoropoulos
Publikationsdatum: 01.01.2014
Verlag: Springer Netherlands
Erschienen in: Water Resources Management / Ausgabe 1/2014
Print ISSN: 0920-4741
Elektronische ISSN: 1573-1650
DOI: https://doi.org/10.1007/s11269-013-0480-3

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