A Convolutional Neural Network Using Surface Data to Predict Subsurface Temperatures in the Pacific Ocean

A Convolutional Neural Network Using Surface Data to Predict Subsurface Temperatures in the Pacific Ocean

This paper proposes a convolutional neural network (CNN) method to estimate subsurface temperature (ST) in the Pacific Ocean from a suite of satellite remote sensing measurements. These include sea surface temperature(SST), sea surface height (SSH), and sea surface salinity (SSS). We propose using t...

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Bibliographic Details
Main Authors: Mingxu Han, Yuan Feng, Xueli Zhao, Chunjian Sun, Feng Hong, Chao Liu
Format: Article
Language:English
Published: IEEE 2019-01-01
Series:IEEE Access
Subjects:
Convolutional neural network
ocean data
satellite measurements
subsurface temperature
Online Access:https://ieeexplore.ieee.org/document/8913542/

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