Physical oceanography reanalysis models produce a vast amount of highly reliable data. Reducing their dimensionality helps to identify characteristic spatial patterns and their temporal variability, enabling the distinction between climate change and natural oscillations. Neural network techniques allow for the extraction of nonlinear processes. The bimodal oscillation system found in the Ionian Sea serves as one notable example.
Physical oceanography reanalysis models produce a vast amount of highly reliable data. Reducing their dimensionality helps to identify characteristic spatial patterns and their temporal variability, enabling the distinction between climate change and natural oscillations. Neural network techniques allow for the extraction of nonlinear processes. The bimodal oscillation system found in the Ionian Sea serves as one notable example.
The student will acquire and develop foundational skills in data mining techniques, specifically applied to analyzing thermohaline properties within the context of the Mediterranean Sea.
Funded by the European Union. Views and opinions expressed are however those of the author(s) only and do not necessarily reflect those of the European Union or the European Education and Culture Executive Agency (EACEA). Neither the European Union nor EACEA can be held responsible for them.
