Predicting subsurface thermohaline structure from remote sensing data based on long short-term memory neural networks
Published 2021 View Full Article
- Home
- Publications
- Publication Search
- Publication Details
Title
Predicting subsurface thermohaline structure from remote sensing data based on long short-term memory neural networks
Authors
Keywords
Subsurface thermohaline anomalies, Surface remote sensing observations, Remote sensing prediction, Bi-directional long short-term memory
Journal
REMOTE SENSING OF ENVIRONMENT
Volume 260, Issue -, Pages 112465
Publisher
Elsevier BV
Online
2021-04-23
DOI
10.1016/j.rse.2021.112465
References
Ask authors/readers for more resources
Related references
Note: Only part of the references are listed.- Record-Setting Ocean Warmth Continued in 2019
- (2020) Lijing Cheng et al. ADVANCES IN ATMOSPHERIC SCIENCES
- A Dynamical‐Statistical Approach to Retrieve the Ocean Interior Structure From Surface Data: SQG‐mEOF‐R
- (2020) Hengqian Yan et al. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
- Warming trends increasingly dominate global ocean
- (2020) Gregory C. Johnson et al. Nature Climate Change
- OPEN: A New Estimation of Global Ocean Heat Content for Upper 2000 Meters from Remote Sensing Data
- (2020) Hua Su et al. Remote Sensing
- A Deep Learning Network to Retrieve Ocean Hydrographic Profiles from Combined Satellite and In Situ Measurements
- (2020) Bruno Buongiorno Nardelli Remote Sensing
- 2018 Continues Record Global Ocean Warming
- (2019) Lijing Cheng et al. ADVANCES IN ATMOSPHERIC SCIENCES
- Deep learning and process understanding for data-driven Earth system science
- (2019) Markus Reichstein et al. NATURE
- Towards quantifying uncertainty in ocean heat content changes using synthetic profiles
- (2019) Lesley C Allison et al. Environmental Research Letters
- Estimating Subsurface Thermohaline Structure of the Global Ocean Using Surface Remote Sensing Observations
- (2019) Hua Su et al. Remote Sensing
- Subsurface temperature estimation from remote sensing data using a clustering-neural network method
- (2019) Wenfang Lu et al. REMOTE SENSING OF ENVIRONMENT
- Reconstructing the Ocean Interior from High-Resolution Sea Surface Information
- (2019) Lei Liu et al. JOURNAL OF PHYSICAL OCEANOGRAPHY
- Reconstructed 3-D Ocean Temperature Derived from Remotely Sensed Sea Surface Measurements for Mixed Layer Depth Analysis
- (2019) Yubeen Jeong et al. Remote Sensing
- 2017 was the warmest year on record for the global ocean
- (2018) Lijing Cheng et al. ADVANCES IN ATMOSPHERIC SCIENCES
- Retrieving ocean subsurface temperature using a satellite-based geographically weighted regression model
- (2018) Hua Su et al. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
- Reconstructing the Subsurface Temperature Field by Using Sea Surface Data Through Self-Organizing Map Method
- (2018) Cheng Chen et al. IEEE Geoscience and Remote Sensing Letters
- Salinity Profile Estimation in the Pacific Ocean from Satellite Surface Salinity Observations
- (2018) Senliang Bao et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
- Reconstruction of Subsurface Velocities From Satellite Observations Using Iterative Self-Organizing Maps
- (2017) Christopher Chapman et al. IEEE Geoscience and Remote Sensing Letters
- Inconsistent Subsurface and Deeper Ocean Warming Signals During Recent Global Warming and Hiatus
- (2017) Hua Su et al. JOURNAL OF GEOPHYSICAL RESEARCH-OCEANS
- Improved estimates of ocean heat content from 1960 to 2015
- (2017) Lijing Cheng et al. Science Advances
- Sensitivity of Global Upper-Ocean Heat Content Estimates to Mapping Methods, XBT Bias Corrections, and Baseline Climatologies*
- (2016) Tim Boyer et al. JOURNAL OF CLIMATE
- Estimation of subsurface temperature anomaly in the Indian Ocean during recent global surface warming hiatus from satellite measurements: A support vector machine approach
- (2015) Hua Su et al. REMOTE SENSING OF ENVIRONMENT
- Retrieving the evolution of vertical profiles of Chlorophyll-a from satellite observations using Hidden Markov Models and Self-Organizing Topological Maps
- (2015) A.A. Charantonis et al. REMOTE SENSING OF ENVIRONMENT
- Uncertainties of the Ocean Heat Content Estimation Induced by Insufficient Vertical Resolution of Historical Ocean Subsurface Observations
- (2014) Lijing Cheng et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
- Varying planetary heat sink led to global-warming slowdown and acceleration
- (2014) X. Chen et al. SCIENCE
- Distinctive climate signals in reanalysis of global ocean heat content
- (2013) Magdalena A. Balmaseda et al. GEOPHYSICAL RESEARCH LETTERS
- Reconstructing the Ocean's Interior from Surface Data
- (2013) Jinbo Wang et al. JOURNAL OF PHYSICAL OCEANOGRAPHY
- Subsurface and deeper ocean remote sensing from satellites: An overview and new results
- (2013) Victor Klemas et al. PROGRESS IN OCEANOGRAPHY
- A new estimate of the global 3D geostrophic ocean circulation based on satellite data and in-situ measurements
- (2012) S. Mulet et al. DEEP-SEA RESEARCH PART II-TOPICAL STUDIES IN OCEANOGRAPHY
- Estimation of Subsurface Temperature Anomaly in the North Atlantic Using a Self-Organizing Map Neural Network
- (2012) Xiangbai Wu et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
- Model-based evidence of deep-ocean heat uptake during surface-temperature hiatus periods
- (2011) Gerald A. Meehl et al. Nature Climate Change
- Estimating the Four-Dimensional Structure of the Southern Ocean Using Satellite Altimetry
- (2010) A. J. S. Meijers et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
- A Method to Estimate Three-Dimensional Thermal Structure from Satellite Altimetry Data
- (2009) Akiko Takano et al. JOURNAL OF ATMOSPHERIC AND OCEANIC TECHNOLOGY
Find Funding. Review Successful Grants.
Explore over 25,000 new funding opportunities and over 6,000,000 successful grants.
ExploreAsk a Question. Answer a Question.
Quickly pose questions to the entire community. Debate answers and get clarity on the most important issues facing researchers.
Get Started