A Deep Learning Model for Forecasting Sea Surface Height Anomalies and Temperatures in the South China Sea
Author:
Affiliation:
1. School of Marine Science and Technology Tianjin University Tianjin China
2. Tianjin Key Laboratory for Oceanic Meteorology Tianjin China
3. Tianjin Institute of Meteorological Sciences Tianjin China
Funder
National Outstanding Youth Science Fund Project of National Natural Science Foundation of China
National Key Research and Development Program of China Stem Cell and Translational Research
Publisher
American Geophysical Union (AGU)
Subject
Earth and Planetary Sciences (miscellaneous),Space and Planetary Science,Geochemistry and Petrology,Geophysics,Oceanography
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1029/2021JC017515
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