Ocean Eddy Identification and Tracking Using Neural Networks

@article{Franz2018OceanEI,
  title={Ocean Eddy Identification and Tracking Using Neural Networks},
  author={Katharina Franz and Ribana Roscher and Andres Milioto and Susanne Wenzel and J{\"u}rgen Kusche},
  journal={IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium},
  year={2018},
  pages={6887-6890}
}
  • K. Franz, R. Roscher, J. Kusche
  • Published 20 March 2018
  • Environmental Science, Computer Science
  • IGARSS 2018 - 2018 IEEE International Geoscience and Remote Sensing Symposium
Global climate change plays an essential role in our daily life. Mesoscale ocean eddies have a significant impact on global warming, since they affect the ocean dynamics, the energy as well as the mass transports of ocean circulation. From satellite altimetry we can derive high-resolution, global maps containing ocean signals with dominating coherent eddy structures. The aim of this study is the development and evaluation of a deep-learning based approach for the analysis of eddies. In detail… 

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References

SHOWING 1-10 OF 110 REFERENCES
Eddy dynamics from satellite altimetry
Most of the kinetic energy of ocean circulation is contained in ubiquitous mesoscale eddies. Their prominent signatures in sea surface height have rendered satellite altimetry highly effective in
Identification of Marine Eddies from Altimetric Maps
A procedure is presented to detect eddy cores from sea level anomaly (SLA) maps obtained from altimetric measurements. The method is based on finding the sign of Q, which is an invariant of the
Tracking coherent structures in a regional ocean model with wavelet analysis: Application to Cape Basin eddies - art. no. C05043
[1] This study is mainly aimed at proposing objective tools for the identification and tracking of three-dimensional eddy structures. It is conducted with a high-resolution numerical model of the
Global high-resolution mapping of ocean circulation from TOPEX/Poseidon and ERS-1 and -2
This study focuses on the improved estimation of mesoscale surface ocean circulation obtained by merging TOPEX/Poseidon (T/P) and ERS-1 and -2 altimeter measurements between October 1992 and May
EddyNet: A Deep Neural Network For Pixel-Wise Classification of Oceanic Eddies
TLDR
EddyNet consists of a convolutional encoder-decoder followed by a pixel-wise classification layer for automated eddy detection and classification from Sea Surface Height maps provided by the Copernicus Marine and Environment Monitoring Service (CMEMS).
Oceanic eddy detection and lifetime forecast using machine learning methods
TLDR
A novel altimetry-based machine learning approach for eddy identification and characterization using daily maps of geostrophic velocity anomalies and trained according to the phase angle between the zonal and meridional components at each grid point is reported.
An eddy resolving tidal-driven model of the South China Sea assimilating along-track SLA data using the EnOI
Abstract. The upper ocean circulation in the South China Sea (SCS) is driven by the Asian monsoon, the Kuroshio intrusion through the Luzon Strait, strong tidal currents, and a complex topography.
Global observations of nonlinear mesoscale eddies
Eddy activity in the four major upwelling systems from satellite altimetry (1992-2007)
...
...