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Assessing the adequacy of traditional hydrological models for climate change impact studies: a case for long short-term memory (LSTM) neural networks

  • École de technologie supérieure
  • Ministère de l'Environnement et de la Lutte contre les Changements Climatiques du Québec (MELCC)
  • Consortium Ouranos, Canada

Research output: Contribution to journalJournal Articlepeer-review

4 Citations (Scopus)

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Earth and Planetary Sciences