This repository contains the python code in the form of jupyter notebooks to reproduce the figures of the paper:

Troupin, C.; Pascual, A.; Ruiz, S.; Olita, A.; Casas, B.; Margirier, F.; Poulain, P.-M.; Notarstefano, G.; Torner, M.; Fernández, J. G.; Rújula, M. Muñoz, C.; Allen, J. T.; Mahadevan, A. & Tintoré, J. The AlborEX dataset: sampling of submesoscale features in the Alboran Sea Earth System Science Data Discussions, 2018, 1-21.

and to provide examples of the data from the netCDF files can be read, processed and displayed.

Directories

• data: contains data files used for the plots and not available through OPeNDAP protocol.

• figures: default directory where the figures are saved.

• leaflet: contains the source (html) to generate a Leaflet interactive map showing the deployments and the sea surface temperature in the area of study.

• python: contains

1. the main module alborexdata.py that defines the different classes
2. the jupyter notebooks and

Usage

Configuration

The file alborexpaths.py stores the OPEnDAP URLs of all the data files (so they don't have to be downloaded locally), the extension of the domain and the path to the figure directory.

Note: the URLs were hard-coded but can be obtained using the SOCIB Data API (see the API Examples).

The SST files are not available in this repository but are automatically download from OceanColor web when needed.

Reading files

Each platform (drifters, Argo floats, gliders, ...) has a class defined in alborexdata.py, and the corresponding class has a method to read the data from the netCDF file.

For example, for the CTD data:

1. We create an object CTD:

ctd = alborexdata.CTD()

2. We read the data from the correspond files, whose URL comes from alborexpaths:

ctd.get_from_netcdf(alborexpaths.ctdfile)

Plotting data

There are many different types of plots used here.
For the maps, we used the Basemap Toolkit but in the future we will switch to Cartopy, once all the Basemap's features have been implemented.

We also work with the cmocean module in order to obtain perceptually uniform colormaps.

How to cite?

This module:

Charles Troupin. (2019, January 12). ctroupin/AlborEx-Data-Python: V1.1.0 (Version V1.1.0). Zenodo. DOI: 10.5281/zenodo.2538348

The AlborEx paper in Earth System Science Data (the reference will be updated):

Troupin, C.; Pascual, A.; Ruiz, S.; Olita, A.; Casas, B.; Margirier, F.; Poulain, P.-M.; Notarstefano, G.; Torner, M.; Fernández, J. G.; Rújula, M. Muñoz, C.; Allen, J. T.; Mahadevan, A. & Tintoré, J. The AlborEX dataset: sampling of submesoscale features in the Alboran Sea. Earth System Science Data Discussions, 2018, 1-21. DOI: 10.5194/essd-2018-104

Other related papers:

Pascual, A.; Ruiz, S.; Olita, A.; Troupin, C.; Claret, M.; Casas, B.; Mourre, B.; Poulain, P.-M.; Tovar-Sanchez, A.; Capet, A.; Mason, E.; Allen, John T..; Mahadevan, A. & Tintoré, J. A multiplatform experiment to unravel meso- and submesoscale processes in an intense front (AlborEx). Frontiers in Marine Science, 2017, 4, 1-16. DOI: 10.3389/fmars.2017.00039

Olita, A.; Capet, A.; Claret, M.; Mahadevan, A.; Poulain, P. M.; Ribotti, A.; Ruiz, S.; Tintoré, J.; Tovar-Sánchez, A. & Pascual, A. Frontal dynamics boost primary production in the summer stratified Mediterranean Sea. Ocean Dynamics, 2017, 67, 767-782. DOI: 10.1007/s10236-017-1058-z

Acknowledgments

The 3 anonymous reviewers made an outstanding work with a lot of comments that helped us improve the initial manuscript, and also motivated me to improve and update the present project.

I am also thankful to the SOCIB Data Center for corrections and improvements made on the data file. Their Data API is very cool and I really invite everybody to try and use it.