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New alternatives for reference evapotranspiration estimation in West Africa using limited weather data and ancillary data supply strategies.
Authors:Gorka?Landeras  Emmanuel?Bekoe  Joseph?Ampofo  Frederick?Logah  Mbaye?Diop  Madiama?Cisse  Email authorEmail author
Institution:1.NEIKER, AB. Basque Country Research Institute for Agricultural Development,Alava,Spain;2.WRI-CSIR, CSIR-Water Research Institute,Accra,Ghana;3.ISRA, Institut Sénégalais de Recherches Agricoles,Dakar,Senegal;4.Water Engineering Department, Faculty of Agriculture,University of Tabriz,Tabriz,Iran
Abstract:Accurate estimation of reference evapotranspiration (ET 0 ) is essential for the computation of crop water requirements, irrigation scheduling, and water resources management. In this context, having a battery of alternative local calibrated ET 0 estimation methods is of great interest for any irrigation advisory service. The development of irrigation advisory services will be a major breakthrough for West African agriculture. In the case of many West African countries, the high number of meteorological inputs required by the Penman-Monteith equation has been indicated as constraining. The present paper investigates for the first time in Ghana, the estimation ability of artificial intelligence-based models (Artificial Neural Networks (ANNs) and Gene Expression Programing (GEPs)), and ancillary/external approaches for modeling reference evapotranspiration (ET 0 ) using limited weather data. According to the results of this study, GEPs have emerged as a very interesting alternative for ET 0 estimation at all the locations of Ghana which have been evaluated in this study under different scenarios of meteorological data availability. The adoption of ancillary/external approaches has been also successful, moreover in the southern locations. The interesting results obtained in this study using GEPs and some ancillary approaches could be a reference for future studies about ET 0 estimation in West Africa.
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