Published October 24, 2025 | Version 0.4.0
Software Open

PyEarthTools: Machine learning for Earth system science

  • 1. Work undertaken while at the Bureau of Meteorology, Australia
  • 2. Bureau of Meteorology, Australia
  • 3. NIWA - The National Institute of Water and Atmospheric Research, New Zealand
  • 4. Met Office, United Kingdom
  • 5. University of New South Wales Sydney, Australia
  • 6. Independent researcher
  • 7. Independent researcher, Vietnam
  • 8. Independent researcher, Australia

Description

Correct an issue in the Rainfields3 accessor which was not properly returning all matching times Add a new method for sorting all the data variable coordinates used in a dataset to match the ordering of the dataset coordinates

Full Changelog: https://github.com/ACCESS-Community-Hub/PyEarthTools/compare/0.3.0...0.4.0

Files

ACCESS-Community-Hub/PyEarthTools-0.4.0.zip

Files (31.3 MB)

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