Skip to main content
Pre-release

This release is a pre-release and may not be stable for production use.

Recommendations for Safe Lossy Compression of weather and climate data

image image image image image

What lossy compression is safe when using lossy compression on weather and climate data?

This repository contains community-provided recommendations that are automatically compiled into one machine-readable recommendations.yaml file. These recommendations can then be used by external tools to automatically recommend appropriate safety requirements for compressing various weather and climate data.

This repository also provides the compression-recommendations Python package for loading these recommendations and inspecting them in the strongly typed Recommendations data structure.

Furthermore, we provide the following integrations:

  • compression-requirement-checks checks whether safety requirements are upheld by a lossy-decompressed reconstruction of the original data.
  • compression-requirement-safeguards translates safety requirements into compression safeguards that can be wrapped around any compressor to guarantee that the requirements are fulfilled.

That is up to you, the community, to decide!

  • You can add comments to any recommendation to elaborate or discuss different requirements.
  • You can propose edits to any recommendation, which we accept once a new consensus has been reached.
  • You can create new recommendations for new variables or to specialise existing requirements for specific cases.
  • You can merge multiple recommendations to generalise them.
  • You can propose new filters to select which recommendations should apply, or new kinds of requirements.

Glossary

Compression : Reducing the number of bits needed to store some data.

Lossy Compression : Compression that may only produce an approximation of the original data during decompression.

Filter : Criteria, or a composition of multiple criteria, that select which requirements should apply.

Safety Requirement : A property, e.g. an error bound, or a composition of multiple properties, that the lossy-compressed data must fulfil with respect to the original uncompressed data.

Citation

Please refer to the CITATION.cff file and refer to https://citation-file-format.github.io to extract the citation in a format of your choice.

License

Licensed under the Mozilla Public License, Version 2.0 (LICENSE or https://www.mozilla.org/en-US/MPL/2.0/).

Funding

The outline for the recommendations have been developed as part of ESiWACE3, the third phase of the Centre of Excellence in Simulation of Weather and Climate in Europe.

Funded by the European Union. This work has received funding from the European High Performance Computing Joint Undertaking (JU) under grant agreement No 101093054.

Download files

Download the file for your platform. If you're not sure which to choose, learn more about installing packages.

Source Distribution

compression_recommendations-0.1.0a1.tar.gz (26.6 kB view details)

Uploaded Source

Built Distribution

If you're not sure about the file name format, learn more about wheel file names.

compression_recommendations-0.1.0a1-py3-none-any.whl (42.3 kB view details)

Uploaded Python 3

File details

Details for the file compression_recommendations-0.1.0a1.tar.gz.

File metadata

File hashes

Hashes for compression_recommendations-0.1.0a1.tar.gz
Algorithm Hash digest
SHA256 8d19b220f0e5abf9a65cae978116d2d96560a437998e15a9b0beac06ffbe6b23
MD5 31bc4b0e00f4f4fdb44ac2ca79e94332
BLAKE2b-256 d8db84d535cceb1a2f8484abffb140e04ab506fd5644e38a6f73c4e1c8aeae3d

See more details on using hashes here.

Provenance

The following attestation bundles were made for compression_recommendations-0.1.0a1.tar.gz:

Publisher: ci.yml on juntyr/compression-recommendations

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

File details

Details for the file compression_recommendations-0.1.0a1-py3-none-any.whl.

File metadata

File hashes

Hashes for compression_recommendations-0.1.0a1-py3-none-any.whl
Algorithm Hash digest
SHA256 554f0207b657bc1e12ce38f8cc399671f22f4cc6641c7b4c87f2b335766de47d
MD5 19d8739d8b2d3d8d309f20645f03d09c
BLAKE2b-256 78b2367255b4c6370f1e7995f59f525f14a2fe884e9ecad8c792c2a5fb5fa964

See more details on using hashes here.

Provenance

The following attestation bundles were made for compression_recommendations-0.1.0a1-py3-none-any.whl:

Publisher: ci.yml on juntyr/compression-recommendations

Attestations: Values shown here reflect the state when the release was signed and may no longer be current.

Release history Release notifications | RSS feed

This release

0.1.0a1 This release

2 files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page