Abstract
Understanding ocean dynamics is critical for the scientific community as it has a direct impact on climate change and the functioning of marine ecosystems. One of the key aspects of ocean sciences lies in the understanding of eddies as they play a significant role in transferring energy and nutrients across the ocean. On a global scale, the movement of eddies accounts for approximately 90% of the ocean’s kinetic energy, and they are known to affect ocean dynamics, weather conditions and commercial activities.
Eddies are also explicitly linked to climate change, playing a crucial role in the deep storage of carbon and heat, whilst long-term shifts in poleward eddy activity are indicative of a warming climate. As a result, being able to track and detect eddies is crucial for physical oceanographers in not only understanding eddies but also in accurately modelling the changing oceans and climate. Being able to detect and track the movement of eddies is also vital in gathering data on eddies.
Oceanographers who wish to study the depth profiles of eddies collect data by crossing through them with aquatic robots such as gliders or autonomous underwater vehicles, measuring temperature-salinity and other parameters which describe their behaviour and transport properties. For other studies, knowing the locations of eddies can help pilots avoid getting stuck in them or use them to their advantage by using the currents to increase the endurance of glider missions
Citation information
Data Study Group Team. (2023). Data Study Group Final Report: Towards a Deeper Understanding of Eddies using Machine Learning. The Alan Turing Institute - 10.5281/zenodo.10590207
Additional information
Contributers
M. Lisandra Z. Mendoza is a senior research scientist in the Computational Biology Department at Novo Nordisk Research Center Oxford
Futoon. M. Abushaqra is a PhD student at RMIT University Melbourne.
Yunbei Ou is a PhD student at the University of Glasgow, in Urban Studies.
Madeleine Dwyer is a PhD student at the University of Southampton, UK
Sima Farokhnejad is a PhD student at the University of Exeter, UK.
Asheesh Sharma He is a joint PhD student at the University of Bristol and the University of West of England, UK.
Yogendrasingh Pawar is a Risk Management Consultant in the Financial Services Domain
Giorgio Cerro is a PhD student in Machine Learning for Particle Physics at the University of Southampton, UK.
Nikolai Juraschko is a PhD student at the University of Oxford and the Rosalind Franklin Institute
Sathiskumar Anusuya Ponnusami is a Senior Lecturer at City, University of London with a research focus on applied Artificial Intelligence