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

Dan Lu, Tiantian Yang, Xiaofeng Liu

Research output: Contribution to journal › Editorial › peer-review

All Science Journal Classification (ASJC) codes

@article{c2bab5e7a4aa4f82bcf7fcc1fc05f540,

title = "Editorial: Data-driven machine learning for advancing hydrological and hydraulic predictability",

author = "Dan Lu and Tiantian Yang and Xiaofeng Liu",

year = "2023",

doi = "10.3389/frwa.2023.1215966",

language = "English (US)",

volume = "5",

journal = "Frontiers in Water",

issn = "2624-9375",

publisher = "Frontiers Media SA",

}

TY - JOUR

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T2 - Data-driven machine learning for advancing hydrological and hydraulic predictability

AU - Lu, Dan

AU - Yang, Tiantian

AU - Liu, Xiaofeng

PY - 2023

Y1 - 2023

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U2 - 10.3389/frwa.2023.1215966

DO - 10.3389/frwa.2023.1215966

M3 - Editorial

AN - SCOPUS:85161996218

SN - 2624-9375

VL - 5

JO - Frontiers in Water

JF - Frontiers in Water

M1 - 1215966

ER -