A Real-Time Spatio-Temporal Machine Learning Framework for the Prediction of Nearshore Wave Conditions

^*Corresponding author for this work

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

Original language	English
Journal	Artificial Intelligence for the Earth Systems
Volume	2
Issue number	1
DOIs	https://doi.org/10.1175/AIES-D-22-0033.1
Publication status	Published - 1 Jan 2023
Externally published	Yes

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title = "A Real-Time Spatio-Temporal Machine Learning Framework for the Prediction of Nearshore Wave Conditions",

author = "Jiaxin Chen and Ashton, \{Ian G. C.\} and Steele, \{Edward C. C.\} and Pillai, \{Ajit C.\}",

year = "2023",

month = jan,

day = "1",

doi = "10.1175/AIES-D-22-0033.1",

language = "English",

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journal = "Artificial Intelligence for the Earth Systems",

issn = "2769-7525",

publisher = "American Meteorological Society",

number = "1",

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T1 - A Real-Time Spatio-Temporal Machine Learning Framework for the Prediction of Nearshore Wave Conditions

AU - Chen, Jiaxin

AU - Ashton, Ian G. C.

AU - Steele, Edward C. C.

AU - Pillai, Ajit C.

PY - 2023/1/1

Y1 - 2023/1/1

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DO - 10.1175/AIES-D-22-0033.1

M3 - Article

SN - 2769-7525

VL - 2

JO - Artificial Intelligence for the Earth Systems

JF - Artificial Intelligence for the Earth Systems

IS - 1

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