Collaborate to ODC and propose your own data challenge

To have your data challenge appear on the ODC website, nothing simpler !


1) Fill the informations related to your data challenge into a yaml format

2) Provide us with these info



  
    - id: "your_DC_id"
      title: "your_DC_name"
      creationdate: 2024 
      author: "your_name_or_institute"
      experiment: "your_DC_experiment_type"
      region: "your_DC_region"
      url: https://your_DC.github.io
      url-readthedocs: https://your_DC.readthedocs.io
      url-opendap: https://your_DC_data.html
      image: your_image.png
      text: 'Description'
      articles: 
          - 'Article 1'    
          - 'Article 2'

To respect this template, you need to:

  • choose any id you want (hopefully one that does not already exist),
  • provide the title/name of your DC and your name or institution (don’t make them too long),
  • choose your_DC_experiment_type from "l3_processing", "ssh_mapping" and "current_mapping",
  • choose your_DC_region from the existing regions ("North Atlantic", "Gulfstream", "Mediterranean", "California", "Agulhas")
  • provide at least the github url of your DC in 'url:'
  • you’ll need to include your illustration image in ‘images/’ repository at the root of the website folder,
  • provide some brief description and article references linked to your DC if there are any.

Note, that if either your_DC_experiment_type or your_DC_region do not correspond to any proposed option, you’ll have to contact us so we setup a specific section in the website for your data challenge.

An example from the first 2020 data challenge is:

  
    - id: DC2020a 
      title: "2020-DC SSH Mapping in the Gulf Stream OSSE"
      creationdate: 2020
      author: 'MEOM and CLS'
      experiment: "ssh_mapping"
      region: "Gulfstream"
      url: https://ocean-data-challenges.github.io/dc_2020a/
      url-opendap: https://ige-meom-opendap.univ-grenoble-alpes.fr/thredds/catalog/meomopendap/extract/MEOM/OCEAN_DATA_CHALLENGES/2020a_SSH_mapping_NATL60/catalog.html
      image: DC_2020a.png
      text: 'The goal is to investigate how to best reconstruct sequences of Sea Surface Height (SSH) maps artificial nadir and SWOT satellite altimetry observations. '
      articles: 
          - 'Le Guillou, F.; Metref, S.; Cosme, E.; Ubelmann, C.; Ballarotta, M.; Le Sommer, J.; Verron, J. Mapping Altimetry in the Forthcoming SWOT Era by Back-and-Forth Nudging a One-Layer Quasigeostrophic Model. J. Atmos. Oceanic Technol. 2021, 38, 697–710. https://doi.org/10.1175/JTECH-D-20-0104.1'
          - 'Beauchamp, M.; Febvre, Q.; Georgenthum, H.; Fablet, R. 4DVarNet-SSH: end-to-end learning of variational interpolation schemes for nadir and wide-swath satellite altimetry. Geoscientific Model Development Discussions. 2022, 1-37. https://doi.org/10.5194/gmd-16-2119-2023'
          - 'Febvre, Q.; Fablet, R.; Le Sommer, J.; Ubelmann, C. Joint Calibration and Mapping of Satellite Altimetry Data Using Trainable Variational Models. ICASSP 2022 - 2022 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), Singapore, Singapore, 2022, pp. 1536-1540. https://doi.org/10.1109/ICASSP43922.2022.9746889'

Here, the url-readthedocs is not provided since the 2020 DC does not have an associated readthedocs website.

2) Provide us with these info


To do so, you can either:

  • clone the website github repo, add your yaml input in the _data/datachallenges_yml.yml file and your illustation image in images/ and make a pull request of these modifications.

  • contact us directly at Contacts and send us directly these info, we’ll update the website for you.