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Impact assessments of climate change commonly use either synthetic or downscaled meteorological data. Many meteorological variables are missing or uncertain in such an approach. In this paper, it is shown that in such studies, this limits the use of classical reference ET0 models, e.g., the FAO-56 Penman Monteith model, which require several climatic data inputs. The objective of this study was to assess the capability of the minimal-input approach to predict ET0 and irrigation water requirements solely from tempe...