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Yinghao Qin

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Articles

A Deep Learning Method for Inversing 3D Temperature Fields Using Sea Surface Data in Offshore China and the Northwest Pacific Ocean

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By Yinghao Qin
| MDPI
4. Discussion and Conclusions In this study, based on reanalysis data, the underwater three-dimensional temperature structure of the Northwest Pacific and offshore China was reconstructed using the U-net deep learning model with different data formats and loss functions. Through the analysis of the reconstruction results, the most suitable data format and loss function for the reconstruction of the three-dimensional temperature field were determined.
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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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