v1.0.1

• Small changes to include Zenodo integration on release publications
• Added Zenodo badge to Readme.

Full Changelog: v1.0.0...v1.0.1

v1.0.0

We are excited to announce the first stable release of pymor, a Python-based tool to CMORize NetCDF data! This 1.0.0 milestone includes the following highlights:

Main Features

• Core functionality to CMORize NetCDF data, enabling standardized formatting for climate and meteorological datasets:
  • Unit aware conversions of source and target data
  • Smart time averaging based upon chosen CMOR variable
  • Custom Pipelines and steps
  • Automatic inclusion of CMIP metadata for global and variable level attributes
• Parallelization of CMORization via Dask: can scale to process large datasets easily.
• Task orchestration by Prefect
• SSH Tunnel shortcuts to easily view remote Dask and Prefect Dashboards

Contributors

@pgierz, @siligam, and @mandresm developed pymor, with thanks to @chrisdane and @christian-stepanek for early discussions. Special thanks to all contributors for their efforts in getting pymor to this stable release!

For a complete and up-to-date list of all changes, please visit the commit history.