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Liying Wan on Muck Rack

Liying Wan

As seen in: Frontiers, MDPI, Taylor & Francis Online
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Articles

AI performs on high-resolution three-dimensional ocean temperature forecasting: remote sensing data-driven becomes a new possibility

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By Jiawei Jiang, Huier Mo, Lin Zhang, Liying Wan
| Taylor & Francis Online
?Mathematical formulae have been encoded as MathML and are displayed in this HTML version using MathJax in order to improve their display. Uncheck the box to turn MathJax off. This feature requires Javascript. Click on a formula to zoom. Abstract Accurate prediction of three-dimensional (3D) ocean structures is essential for understanding oceanic processes.
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Evaluating the Detection of Oceanic Mesoscale Eddies in an Operational Eddy-Resolving Global Forecasting System

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By Huier Mo, Yinghao Qin, Liying Wan, Yu ZHANG
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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A Global-Ocean-Data Assimilation for Operational Oceanography

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By Yinghao Qin, Qinglong Yu, Liying Wan, Yang Liu
| MDPI
All articles published by MDPI are made immediately available worldwide under an open access license. No special permission is required to reuse all or part of the article published by MDPI, including figures and tables. For articles published under an open access Creative Common CC BY license, any part of the article may be reused without permission provided that the original article is clearly cited. For more information, please refer to https://www.mdpi.com/openaccess.
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