☆ 4.7 Article

Reconstruction of subsurface ocean state variables using Convolutional Neural Networks with combined satellite and in situ data

FRONTIERS IN MARINE SCIENCE (2023)

Related references

Note: Only part of the references are listed.

Review Engineering, Electrical & Electronic

Remote Sensing Systems for Ocean: A Review (Part 1: Passive Systems)

Meisam Amani et al.

Summary: Reliable, accurate, and timely ocean information is important for various applications, and remote sensing systems offer advantages for mapping and monitoring oceanographic parameters. This article reviews different remote sensing systems and approaches used in marine applications, focusing on passive systems. The article discusses various passive sensors and satellites, and the oceanographic parameters that can be retrieved from data acquired by passive remote sensing systems.

IEEE JOURNAL OF SELECTED TOPICS IN APPLIED EARTH OBSERVATIONS AND REMOTE SENSING (2022)

Add to Collection

Article Chemistry, Analytical

Probabilistic Maritime Trajectory Prediction in Complex Scenarios Using Deep Learning

Kristian Aalling Sorensen et al.

Summary: Maritime activity is expected to increase, necessitating enhanced maritime surveillance and safety. We propose a deep learning model (BLSTM-MDN) that predicts the future location of ships and provides probabilistic results. By analyzing the distribution of ship trajectories, we can predict multiple possible routes based on an input trajectory.

SENSORS (2022)

Add to Collection

Article Environmental Sciences

Subsurface Temperature Reconstruction for the Global Ocean from 1993 to 2020 Using Satellite Observations and Deep Learning

Hua Su et al.

Summary: The reconstruction of the ocean's 3D thermal structure is crucial for understanding ocean interior processes and global climate change. This study introduces a new deep learning method that combines remote sensing observations and in situ float observations to reconstruct the global ocean subsurface temperature. The proposed method shows excellent performance in data reconstruction and achieves high consistency with existing datasets.

REMOTE SENSING (2022)

Add to Collection

Article Environmental Sciences

Spatiotemporal Prediction of Monthly Sea Subsurface Temperature Fields Using a 3D U-Net-Based Model

Nengli Sun et al.

Summary: Monitoring and predicting sea temperature is crucial for understanding the likelihood of ocean-related events. This study uses a 3D U-Net model to predict the subsurface temperature of the Pacific Ocean and adjacent oceans, showing that this method can provide more accurate predictions compared to previous methods.

REMOTE SENSING (2022)

Add to Collection

Article Geochemistry & Geophysics

Remote Sensing for Subsurface and Deeper Oceans: An Overview and a Future Outlook

Lingsheng Meng et al.

IEEE GEOSCIENCE AND REMOTE SENSING MAGAZINE (2022)

Add to Collection

Article Meteorology & Atmospheric Sciences

Four-dimensional temperature, salinity and mixed-layer depth in the Gulf Stream, reconstructed from remote-sensing and in situ observations with neural networks

Etienne Pauthenet et al.

Summary: This study introduces OSnet (Ocean Stratification network), a new ocean reconstruction system that provides a physically consistent analysis of the upper ocean stratification. OSnet is trained to predict temperature and salinity (T - S) profiles and mixed-layer depth (MLD), achieving accurate interpolation of ocean interior properties.

OCEAN SCIENCE (2022)

Add to Collection

Article Remote Sensing

Super-resolution of subsurface temperature field from remote sensing observations based on machine learning

Hua Su et al.

Summary: This study proposed machine learning algorithms (CNN and LightGBM) to reconstruct subsurface ocean temperature with higher resolution and evaluated prediction accuracy through various models and metrics. Results showed that LightGBM performed better with small training samples, while CNN outperformed with big training samples.

INTERNATIONAL JOURNAL OF APPLIED EARTH OBSERVATION AND GEOINFORMATION (2021)

Add to Collection

Article Oceanography

Satellite-Based Sea Surface Salinity Designed for Ocean and Climate Studies

J. Boutin et al.

Summary: Sea Surface Salinity (SSS) is an important variable for monitoring and researching ocean and climate, with satellite missions providing measurements for study. The Climate Change Initiative Salinity project aims to produce a data record that meets user needs, using careful methods for handling instrumental differences and data adjustments.

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS (2021)

Add to Collection

Article Engineering, Mechanical

1D convolutional neural networks and applications: A survey

Serkan Kiranyaz et al.

Summary: CNNs have become the standard for various Computer Vision and Machine Learning operations, with 1D CNNs offering advantages in applications with 1D signals. This paper provides a comprehensive review of 1D CNNs architecture, principles, and their recent progress in engineering applications.

MECHANICAL SYSTEMS AND SIGNAL PROCESSING (2021)

Add to Collection

Article Environmental Sciences

Predicting subsurface thermohaline structure from remote sensing data based on long short-term memory neural networks

Hua Su et al.

Summary: This study proposed a new method using Bi-LSTM neural networks to predict global ocean subsurface temperature and salinity anomalies, which combined surface remote sensing observations and longitude and latitude information, showing improved robustness and accuracy. The model was validated for different months in 2010 and 2015, demonstrating superior performance compared to traditional random forest methods in predicting subsurface thermohaline structure from remote sensing data.

REMOTE SENSING OF ENVIRONMENT (2021)

Add to Collection

Article Oceanography

Reconstruction of Three-Dimensional Ocean Structure From Sea Surface Data: An Application of isQG Method in the Southwest Indian Ocean

Zhiqiang Chen et al.

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS (2020)

Add to Collection

Article Geochemistry & Geophysics

Prediction of 3-D Ocean Temperature by Multilayer Convolutional LSTM

Kun Zhang et al.

IEEE GEOSCIENCE AND REMOTE SENSING LETTERS (2020)

Add to Collection

Article Environmental Sciences

OPEN: A New Estimation of Global Ocean Heat Content for Upper 2000 Meters from Remote Sensing Data

Hua Su et al.

REMOTE SENSING (2020)

Add to Collection

Article Environmental Sciences

Argo Data 1999-2019: Two Million Temperature-Salinity Profiles and Subsurface Velocity Observations From a Global Array of Profiling Floats

Annie P. S. Wong et al.

FRONTIERS IN MARINE SCIENCE (2020)

Add to Collection

Article Environmental Sciences

Subsurface temperature estimation from remote sensing data using a clustering-neural network method

Wenfang Lu et al.

REMOTE SENSING OF ENVIRONMENT (2019)

Add to Collection

Article Environmental Sciences

Reconstructed 3-D Ocean Temperature Derived from Remotely Sensed Sea Surface Measurements for Mixed Layer Depth Analysis

Yubeen Jeong et al.

REMOTE SENSING (2019)

Add to Collection

Review Environmental Sciences

A Global Ocean Observing System (GOOS), Delivered Through Enhanced Collaboration Across Regions, Communities, and New Technologies

Tim Moltmann et al.

FRONTIERS IN MARINE SCIENCE (2019)

Add to Collection

Article Computer Science, Information Systems

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

Mingxu Han et al.

IEEE ACCESS (2019)

Add to Collection

Article Meteorology & Atmospheric Sciences

The CORA 5.2 dataset for global in situ temperature and salinity measurements: data description and validation

Tanguy Szekely et al.

OCEAN SCIENCE (2019)

Add to Collection

Article Oceanography

Reconstruction of ocean's interior from observed sea surface information

Lei Liu et al.

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS (2017)

Add to Collection

Article Oceanography

Southern Ocean Mixed-Layer Seasonal and Interannual Variations From Combined Satellite and In Situ Data

B. Buongiorno Nardelli et al.

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS (2017)

Add to Collection

Article Limnology

Relationship between oceanic heat content and sea surface height on interannual time scale

Zhang Linlin et al.

CHINESE JOURNAL OF OCEANOLOGY AND LIMNOLOGY (2012)

Add to Collection

Article Engineering, Ocean

Estimation of Subsurface Temperature Anomaly in the North Atlantic Using a Self-Organizing Map Neural Network

Xiangbai Wu et al.

JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY (2012)

Add to Collection

Article Meteorology & Atmospheric Sciences

High resolution 3-D temperature and salinity fields derived from in situ and satellite observations

S. Guinehut et al.

OCEAN SCIENCE (2012)

Add to Collection

Article Oceanography

Error characterization of infrared and microwave satellite sea surface temperature products for merging and analysis

Sandra L. Castro et al.

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS (2008)

Add to Collection

Article Oceanography

Subsurface geostrophic velocities inference from altimeter data: Application to the Sicily Channel (Mediterranean Sea)

B Buongiorno Nardelli et al.

JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS (2006)

Add to Collection

Article Engineering, Ocean

Methods for the reconstruction of vertical profiles from surface data: Multivariate analyses, residual GEM, and variable temporal signals in the North Pacific Ocean

B Buongiorno Nardelli et al.

JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY (2005)

Add to Collection

Article Meteorology & Atmospheric Sciences

A new FSU winds climatology

MA Bourassa et al.

JOURNAL OF CLIMATE (2005)

Add to Collection

Article Computer Science, Artificial Intelligence

Framewise phoneme classification with bidirectional LSTM and other neural network architectures

A Graves et al.

NEURAL NETWORKS (2005)

Add to Collection

Article Geosciences, Multidisciplinary

Estimation of ocean subsurface thermal structure from surface parameters: A neural network approach

MM Ali et al.

GEOPHYSICAL RESEARCH LETTERS (2004)

Add to Collection

Article Geochemistry & Geophysics

Error sources and feasibility for microwave remote sensing of ocean surface salinity

SH Yueh et al.

IEEE TRANSACTIONS ON GEOSCIENCE AND REMOTE SENSING (2001)

Add to Collection

© Peeref 2019-2024. All rights reserved.