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Analysis of data from Benguela upwelling region from cruise MET132

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Meso- to submesoscale transition observed across and along a filament in the Benguela upwelling system

Data analysis of high-resolution in-situ data and remote sensing images (altimetry and infrared) to reveal a detailed characterisation of properties along and across a filament observed in the Benguela upwelling region together with its evolution and lifetime. To be published as part of a peer-reviewed scientific paper.

Folder descriptions:

deliver: final or near-final version of notebooks, sorted by data or focus of the analysis

src: some basic functions used by multiple notebooks

Notebooks of note:

020a.Maps_Spatial_Ro_Paper_Story_Thread.ipynb: Data Analysis combining satellite images (infrared and altimetry), drifter tracks and ship-based in-situ measurements to understand how offshore currents (filaments) and eddies develop. Includes the application of Gaussian Process Regression, a supervised machine learning method, to fill in spatial data gaps.

020b.Transects_Spatial_Ro_Paper_Story_Thread.ipynb: Data Analysis of in-situ measurements taken across a filament — currents that carry cold-water offshore. Analysis includes features of engineering to better understand the physical properties driving the evolution of the filament.

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Analysis of data from Benguela upwelling region from cruise MET132

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