Download the data

The data are hosted and can be accessed on the MEOM server opendap here.

Data information

The datasets are available for download with the following structure:

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obs_'REGION'.tar.gz

There is a repository for each region: Agulhas, Gulfstream and Mediterranean. In each region repository you’ll find an observation zipped file. The obs_'Region'/ repository contains the available observations in this region needed to map currents. The observation data are stored in ssh/, sst or drifters sub-repo and consists of netcdf files.

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DC_product_evaluation.tar.gz

The DC_product_evaluation/ repository contains the WOC product performances that have already been evaluated on the data challenges in the form of pyo. The structure of the repository is as follow:

.
|-- DC_product_evaluation
|   |-- spectrum/
|   |-- eulerian_rms/
|   |-- cumulative_distance/
|   |-- fronts_vel_comparison  

You can then check the performance of these products yourself and compare them to your methods following the DC_example_BFNQG_Agulhas example.

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dictionnaries.tar.gz

The dictionnaries/ repository contains json dictionnaries for the three regions of interest: Agulhas (T1), Mediterranean and GulfStream. An example data file dictionnary is also provided to illustrate how to pass the input file format data.

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drifter.tar.gz

The drifter/ repository contains pyo files of the AOML drifter positions in the different regions of interest during the year 2019.

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fronts_seviri.tar.gz

The fronts_seviri/ repository contains json files of the fronts contours detected from the SEVIRI Sea Surface Temperature data.

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lagrangian_position_pickle.tar.gz

The lagrangian_position_pickle/ repository contains the AOML corresponding fictive drifter positions using the WOC product currents for comparison.

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DC_example_BFNQG_Agulhas.tar.gz

The DC_example_BFNQG_Agulhas/ repository contains all the needed data to run the DC_example_BFNQG_Agulhas example.

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Download and read the data

The data can be downloaded locally using the wget command. We recommand that the data be stored in the dc_data/ repository. For example, to download and unzip the data needed to run the illustration nb_howto_run_metrics/ notebooks :

cd dc_data/
wget https://ige-meom-opendap.univ-grenoble-alpes.fr/thredds/fileServer/meomopendap/extract/MEOM/OCEAN_DATA_CHALLENGES/2024_DC_WOC-ESA/DC_example_BFNQG_Agulhas.tar.gz 
tar -xvf DC_example_BFNQG_Agulhas.tar.gz  
rm -f DC_example_BFNQG_Agulhas.tar.gz