Transferability of machine-learning-based modeling frameworks across flood events for hindcasting maximum river water depths in coastal watersheds
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DOI: 10.5194/nhess-24-3537-2024
Abstract: Abstract. Despite applications of machine learning (ML) models for predicting floods, their transferability for out-of-sample data has not been explored. This paper developed an ML-based model for hindcasting maximum river water depths during major events in… read more here.
Keywords: hindcasting maximum; river water; water; water depths ... See more keywords