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dc.contributorBruggeman, Adrianaen_US
dc.contributorOweis, Theiben_US
dc.contributorUstun, Haluken_US
dc.creatorBenli, Bogachanen_US
dc.date2010-04-13en_US
dc.date.accessioned2020-11-20T21:26:08Z
dc.date.available2020-11-20T21:26:08Z
dc.identifierhttps://mel.cgiar.org/dspace/limiteden_US
dc.identifier.citationBogachan Benli, Adriana Bruggeman, Theib Oweis, Haluk Ustun. (13/4/2010). Performance of Penman-Monteith FAO56 in a Semiarid Highland Environment. Journal of Irrigation and Drainage Engineering, 136 (11).en_US
dc.identifier.urihttps://hdl.handle.net/20.500.11766/12074
dc.description.abstractReliable estimates of evapotranspiration are essential for irrigation and water resources planning and management. Although several methods are available for computing reference evapotranspiration (ETo), the provision of complete and accurate climate data is often a problem. Therefore, weighing lysimeter data from a semiarid highland environment were used to evaluate the performance of six commonly used reference evapotranspiration estimation methods with different data requirements (Penman-Monteith-FAO56, Priestley-Taylor, Radiation-FAO24, Hargreaves, Blaney-Criddle, Class A pan). The lysimeter experiments were conducted at Ankara Research Institute of Rural Services in Turkey, during the April-October cropping seasons of the years 2000-2002. The average ETo for the three seasons, computed from the lysimeter data, was 964 mm. The Penman-Monteith-FAO56 method was also evaluated for cases where relative humidity, wind speed, solar radiation, or all three parameters would be missing. This resulted in a total of 10 different methods. The RMS errors (RMSE) and index of agreement for the daily data and the monthly averages as well as the mean absolute error (MAE) for the seasonal totals were computed to compare these methods. The methods were ranked based on the sum of the ranks for all five evaluation criteria. The Penman-Montheith-FAO56 method with the full data set, with replacement of wind speed, and with replacement of relative humidity took the top three spots, with MAEs for the seasonal totals ranging between 40 and 70 mm. The Hargreaves method came in fourth (MAE 54 mm), followed by the Penman-Montheith-FAO56 method with replacement of all three parameters (MAE 57 mm). The RMSE for the monthly average ETo was 0.43 and 0.50 mm.days(-1) for the Penman-Monteith-FAO56 without and with replacement of all three parameters and 0.48 mm.days(-1) for Hargreaves. Thus, if only temperature data would be available, the much easier to use Hargreaves method would be preferred above the Penman-Montheith-FAO56 equation with replacement of humidity, radiation, and wind speed data, for this semiarid highland environment.en_US
dc.formatPDFen_US
dc.languageenen_US
dc.publisherAmerican Society of Civil Engineersen_US
dc.rightsCopyrighted; all rights reserveden_US
dc.sourceJournal of Irrigation and Drainage Engineering;136,(2010)en_US
dc.subjectlysimeteren_US
dc.subjecthargreavesen_US
dc.subjectradiation-fao24en_US
dc.subjectclass a pan-fao24en_US
dc.subjectblaney-criddle-fao24en_US
dc.subjectpriestley-tayloren_US
dc.subjectmissing dataen_US
dc.titlePerformance of Penman-Monteith FAO56 in a Semiarid Highland Environmenten_US
dc.typeJournal Articleen_US
cg.creator.idOweis, Theib: 0000-0002-2003-4852en_US
cg.creator.ID-typeORCIDen_US
cg.contributor.centerUnited Nations Development Programme - UNDPen_US
cg.contributor.centerThe Cyprus Institute - CYIen_US
cg.contributor.centerInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.centerMinistry of Agriculture and Forestry, International Agricultural Research and Training Center - TARIMORMAN - IARTCen_US
cg.contributor.funderInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.contributor.projectCommunication and Documentation Information Services (CODIS)en_US
cg.contributor.project-lead-instituteInternational Center for Agricultural Research in the Dry Areas - ICARDAen_US
cg.date.embargo-end-dateTimelessen_US
cg.coverage.regionGlobalen_US
cg.contactb.benli@cgiar.orgen_US
cg.identifier.doihttps://dx.doi.org/10.1061/(ASCE)IR.1943-4774.0000249en_US
dc.identifier.statusTimeless limited accessen_US
mel.impact-factor1.409en_US


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