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This article discusses the use of machine learning techniques in hydrology to extract useful information from big data. It calls for research on recent advances and trends in this field and highlights the challenges and opportunities presented by an abundance of data. The article also mentions the International Association of Hydrological Sciences’ initiative on Predictions in Ungauged Basins and the importance of understanding the hydrological cycle for better modeling.
