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Published January 24, 2025 | Version v2.1.0
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CliMA/EnsembleKalmanProcesses.jl: v2.1.0

  • 1. Caltech
  • 2. University of Melbourne @unimelb
  • 3. California Institute of Technology
  • 4. BBVA
  • 5. University of Reading
  • 6. Massachusetts Institute of Technology, @CliMA
  • 7. Istanbul University
  • 8. CliMA/Caltech
  • 9. University of Trento
  • 10. Scripps Institution of Oceanography
  • 11. DevTech Compute @NVIDIA
  • 12. UMD

Description

EnsembleKalmanProcesses v2.1.0

Diff since v2.0.1

Merged pull requests:

  • Update groups, i.e. domain and observation localization (#380) (@odunbar)
  • Update Project.toml compat to remove redundant characters etc (#402) (@odunbar)
  • Add the GNKI tools and unit testing (#407) (@odunbar)
  • Add documentation for Accelerators and update examples to reproduce journal submission (#411) (@sydneyvernon)
  • Remove arch bugfix for MacOS CI (#414) (@odunbar)
  • GNKI doc source and edits (#416) (@rgjini)
  • Add new spatially dependent lorenz-forcing calibration comparison between methods (#417) (@odunbar)
  • Use eltype instead of promote_type (#420) (@glwagner)
  • Remove plots from Project.toml (#425) (@odunbar)
  • Create dependabot.yml (#426) (@odunbar)
  • Combine Dependabot PRs (#432) (@odunbar)
  • Bump julia-actions/setup-julia from 1 to 2 (#434) (@dependabot[bot])
  • Bugfix a lost Delta t scaling for ETKI (#436) (@odunbar)
  • January clean-up (#438) (@odunbar)
  • add new ref, use relative paths (#441) (@odunbar)
  • pdf->png docs (#442) (@odunbar)
  • Update Project.toml to v2.1.0 (#443) (@odunbar)

Closed issues:

  • Sparse inversion has no verbose information (#288)
  • O3.7.5 Implement Batching for input and output groups (i.e. Domain localization and observation localization) (#377)
  • Unify getters (#386)
  • Add this test workflow for more robust back-compatability (#403)
  • Implement the IEKF tool, (#405)
  • Add unit testing for IEKF in the framework of other tools (#406)
  • A few potential README improvements (#408)
  • Doubled warnings (#409)
  • Alternative approximation of std-approx in SECNice() (#413)
  • Add a docs page describing setup, and API. Add derivation as with other EKP tools (#415)
  • Multiple ensemble members identical - request for better error message (#421)
  • Remove the Unnecessary inflexibility in building the sampler (#423)
  • Add IEKF as a comparison into at least one example (#424)
  • Docs still mention bors (#433)
  • Accelerators docs figure links broken (#440)

Files

CliMA/EnsembleKalmanProcesses.jl-v2.1.0.zip

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