Published January 31, 2026 | Version v2.7.0
Software Open

CliMA/EnsembleKalmanProcesses.jl: v2.7.0

Authors/Creators

  • 1. Caltech
  • 2. University of Melbourne @unimelb
  • 3. Google Research
  • 4. BBVA
  • 5. University of Reading
  • 6. Aeolus Labs, @mit
  • 7. Istanbul University
  • 8. Scripps Institution of Oceanography
  • 9. CliMA/Caltech
  • 10. Elizabeth Consulting International Inc
  • 11. University of Trento
  • 12. DevTech Compute @NVIDIA
  • 13. University of Maryland

Description

EnsembleKalmanProcesses v2.7.0

Diff since v2.6.1

Breaking Changes

Minor Changes

  • More accurate computation for tsvd_cov_from_samples
  • New examples to compare different algorithms EKIRace
  • Improved computation of avg_rmse in get_error_metrics(ekp)

Merged pull requests:

  • CompatHelper: bump compat for Interpolations to 0.16, (keep existing compat) (#497) (@github-actions[bot])
  • Adding EKI race examples (#531) (@rgjini)
  • removed TSVD usage and dependency. just use SVD instead for tsvd_cov_from_samples (#545) (@odunbar)
  • chore: changes the CLA action trigger to pull_request_target (#546) (@cmbengue)
  • Update Project.toml to 2.7.1 (#547) (@odunbar)
  • (correction) Update Project.toml to 2.7.0 (#548) (@odunbar)

Closed issues:

  • Implement EKI race examples (#530)
  • avg_rmse, is not computing the average RMSE (#541)
  • Unreliable tsvd_cov_from_samples (#544)

Files

CliMA/EnsembleKalmanProcesses.jl-v2.7.0.zip

Files (11.9 MB)

Name Size Download all
md5:f3743a1ec605cd4a961b831c023d87d0
11.9 MB Preview Download

Additional details

Related works

Is supplement to
Software: https://github.com/CliMA/EnsembleKalmanProcesses.jl/tree/v2.7.0 (URL)

Software

Repository URL
https://github.com/CliMA/EnsembleKalmanProcesses.jl