Evaluating the generalizability of GEP models for estimating reference evapotranspiration in distant humid and arid locations |
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Authors: | Kiafar Hamed Babazadeh Hosssien Marti Pau Kisi Ozgur Landeras Gorka Karimi Sepideh Shiri Jalal |
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Institution: | 1.Science and Research Branch, Islamic Azad University, Tehran, Iran ;2.Departament de Biologia, Àrea d’Enginyeria Agroforestal, Universitat de les Illes Balears, Cra de Valldemossa km 7.5, Palma de Mallorca, 07122, Spain ;3.Civil Engineering Department, Architecture and Engineering Faculty, Canik Basari University, Samsun, Turkey ;4.NEIKER, AB. Basque Country Research Institute for Agricultural Development, Alava, Basque Country, Spain ;5.Water Engineering Department, Faculty of Agriculture, University of Tabriz, Tabriz, Iran ; |
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Abstract: | Evapotranspiration estimation is of crucial importance in arid and hyper-arid regions, which suffer from water shortage, increasing dryness and heat. A modeling study is reported here to cross-station assessment between hyper-arid and humid conditions. The derived equations estimate ET0 values based on temperature-, radiation-, and mass transfer-based configurations. Using data from two meteorological stations in a hyper-arid region of Iran and two meteorological stations in a humid region of Spain, different local and cross-station approaches are applied for developing and validating the derived equations. The comparison of the gene expression programming (GEP)-based-derived equations with corresponding empirical-semi empirical ET0 estimation equations reveals the superiority of new formulas in comparison with the corresponding empirical equations. Therefore, the derived models can be successfully applied in these hyper-arid and humid regions as well as similar climatic contexts especially in data-lack situations. The results also show that when relying on proper input configurations, cross-station might be a promising alternative for locally trained models for the stations with data scarcity. |
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