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Understanding local currents in the North Atlantic region of the ocean is akey part of modelling heat transfer and global climate patterns. Satellitesprovide a surface signature of the temperature of the ocean with a highhorizontal resolution while in situ autonomous probes supply high verticalresolution, but horizontally sparse, knowledge of the ocean interior thermalstructure. The objective of this paper is to develop a methodology to combinethese complementary ocean observing systems measurements to obtain athree-dimensional time series of ocean temperatures with high horizontal andvertical resolution. Within an observation-driven framework, we investigate theextent to which mesoscale ocean dynamics in the North Atlantic region may bedecomposed into a mixture of dynamical modes, characterized by different localregressions between Sea Surface Temperature (SST), Sea Level Anomalies (SLA)and Vertical Temperature fields. Ultimately we propose a Latent-classregression method to improve prediction of vertical ocean temperature.

Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics