====== Bitrounding and Compress ======

  * Paper: Klöwer, M., Razinger, M., Dominguez, J. J., Düben, P. D., & Palmer, T. N. (2021). Compressing atmospheric data into its real information content. Nature Computational Science, 1(11), 713–724. https://doi.org/10.1038/s43588-021-00156-2
  * Video: https://www.youtube.com/watch?v=kcbOdwfskmY
  * Julia package ''BitInformation.jl'': https://github.com/milankl/BitInformation.jl
  * Python wrapper ''xbitinfo'': https://github.com/observingClouds/xbitinfo
  * Aaron's talk in OES meeting May 4th 2022 [[https://owncloud.gwdg.de/index.php/s/VU6s8FuNs78qKt0|Slides]]
  * [[https://mattermost.mpimet.mpg.de/mpim-ext/channels/bitround|Mattermost channel]]

Todo: Generate MPIM usecases:
  * for domains:
    - <todo #hernan.campos:2022-09-20>Ocean</todo>: add link to notebook
    - <todo #hernan.campos:2022-09-20>Land</todo>: add link to notebook
    - <todo #ann-kristin.naumann:2024-03-13>Atmosphere</todo>: add link to notebook
    - <todo #hernan.campos:2022-09-20>Ocean Biogeochemistry</todo>: add link to notebook
    - ...
  * with shared analysis notebooks
  * using aligned, fair & comparable file size benchmarks
  * Answering questions:
    - Which analysis doesn't work after bitrounding?
    - What are general recommendations for bitrounding? i.e. ''inflevel=99.99%''?