Machine Learning‐Based Wave Model With High Spatial Resolution in Chesapeake Bay

Machine Learning‐Based Wave Model With High Spatial Resolution in Chesapeake Bay

Abstract A high‐resolution wave model is crucial for accurate modeling of sediment and organic material transports, but its computational costs hinder direct coupling to an ecosystem model. We developed a machine learning model using long short‐term memory to simulate large‐scale, high‐resolution wa...

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Bibliographic Details
Main Authors: Jian Shen, Zhengui Wang, Jiabi Du, Yinglong J. Zhang, Qubin Qin
Format: Article
Language:English
Published: American Geophysical Union (AGU) 2024-03-01
Series:Earth and Space Science
Subjects:
wave
machine learning
data‐driven model
SCHISM
Chesapeake Bay
Online Access:https://doi.org/10.1029/2023EA003303

Internet

https://doi.org/10.1029/2023EA003303

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