Editorial: Data-driven machine learning for advancing hydrological and hydraulic predictability

  • Dan Lu
  • , Tiantian Yang
  • , Xiaofeng Liu

Research output: Contribution to journalEditorial

2 Scopus citations
Original languageEnglish
Article number1215966
JournalFrontiers in Water
Volume5
DOIs
StatePublished - 2023

Keywords

  • climate change
  • data-driven machine learning
  • explainable machine learning
  • hydrological and hydraulic predictability
  • uncertainty quantification

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