OceanographyProject
Today satellites provide a surface signature of the temperature with a high spatial frequency: ie a good horizontal resolution but a low vertical resolution. Thanks to the ARGO database collected by buoys making vertical surveys, one has precise but sparse knowledge of the vertical thermal structure of the ocean. The objective of this project is to develop a methodology to statistically combine additional information to obtain a 3D time series sufficiently resolved horizontally and vertically to follow the eddies. It is based on a regression classification method that allows both to classify the temperature profiles and to propose a linear model between the satellite observations and the information of the buoys according to its label.
Install / Use
/learn @gcosne/OceanographyProjectREADME
Coupling Oceanic Observation Systems to Study Mesoscale Ocean Dynamics
The paper related to the code implemented can be found here : arxiv.
Abstract : Understanding local currents in the North Atlantic region of the ocean is a key part of modelling heat transfer and global climate patterns. Satellites provide a surface signature of the temperature of the ocean with a high horizontal resolution while in situ autonomous probes supply high vertical resolution, but horizontally sparse, knowledge of the ocean interior thermal structure. The objective of this paper is to develop a methodology to combine these complementary ocean observing systems measurements to obtain a three-dimensional time series of ocean temperatures with high horizontal and vertical resolution. Within an observation-driven framework, we investigate the extent to which mesoscale ocean dynamics in the North Atlantic region may be decomposed into a mixture of dynamical modes, characterized by different local regressions between Sea Surface Temperature (SST), Sea Level Anomalies (SLA) and Vertical Temperature fields. Ultimately we propose a Latent-class regression method to improve prediction of vertical ocean temperature.
LATEST VERSION OF THE NOTEBOOK can be found on colaboratory here : colab
