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Daily reference evapotranspiration estimates by the ""Copais"" approach

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dc.contributor.author Alexandris, S en
dc.contributor.author Kerkides, P en
dc.contributor.author Liakatas, A en
dc.date.accessioned 2014-06-06T06:47:03Z
dc.date.available 2014-06-06T06:47:03Z
dc.date.issued 2006 en
dc.identifier.issn 03783774 en
dc.identifier.uri http://dx.doi.org/10.1016/j.agwat.2005.08.001 en
dc.identifier.uri http://62.217.125.90/xmlui/handle/123456789/3356
dc.subject Bilinear regression analysis en
dc.subject Empirical models en
dc.subject Penman-Monteith equation en
dc.subject Reference evapotranspiration en
dc.subject.other Atmospheric humidity en
dc.subject.other Climatology en
dc.subject.other Mathematical models en
dc.subject.other Parameter estimation en
dc.subject.other Regression analysis en
dc.subject.other Solar radiation en
dc.subject.other Bilinear regression analysis en
dc.subject.other Empirical models en
dc.subject.other Penman-Monteith equations en
dc.subject.other Reference evapotranspiration en
dc.subject.other Evapotranspiration en
dc.subject.other Atmospheric humidity en
dc.subject.other Climatology en
dc.subject.other Evapotranspiration en
dc.subject.other Mathematical models en
dc.subject.other Parameter estimation en
dc.subject.other Regression analysis en
dc.subject.other Solar radiation en
dc.subject.other estimation method en
dc.subject.other evapotranspiration en
dc.subject.other Penman-Monteith equation en
dc.subject.other regression analysis en
dc.title Daily reference evapotranspiration estimates by the ""Copais"" approach en
heal.type journalArticle en
heal.identifier.primary 10.1016/j.agwat.2005.08.001 en
heal.publicationDate 2006 en
heal.abstract In a previous paper [Alexandris, S., Kerkides, P., 2003. New empirical formula for hourly estimations of reference evapotranspiration. Agric. Water Manage. 60, 181-198.] the Copais empirical function for estimating hourly reference evapotranspiration ETo using data of three attributes (solar radiation, temperature and relative humidity) was presented. In this work, a similar empirical equation for estimating daily ETo is proposed. Bilinear surface regression analysis is used to determine the equation coefficients. Results are compared with corresponding estimates obtained by the widely used physically sound methods of ASCE Penman-Monteith, CIMIS-Penman, FAO-56 Penman-Monteith and the empirical hourly Copais and daily Hargreaves-Samani models. Comparison shows that the new empirical function operates quite consistently and satisfactorily, providing reliable daily ET o estimates, slightly (on average by 3.5%) underestimating the summed hourly estimates by the combination equations, applied under three climatic regimes. Behaviour of the other empirical model (Hargreaves-Samani) is climate depending. The proposed empirical model may become a useful tool for routine daily reference evapotranspiration estimations. © 2005 Elsevier B.V. All rights reserved. en
heal.journalName Agricultural Water Management en
dc.identifier.issue 3 en
dc.identifier.volume 82 en
dc.identifier.doi 10.1016/j.agwat.2005.08.001 en
dc.identifier.spage 371 en
dc.identifier.epage 386 en


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