Evv4esm

EVV provides a number of statistical climate reproducibility tests of Earth system models for non-bit-for-bit
changes. Several changes are contained in this release.

Statistical changes
15 Switch to the Benjamini and Hochberg (1995) correction over the Benjamini and Yekutieli (2001) correction

Interface changes
15 Output the uncorrected p-values and the number of rejected null hypotheses based on them to the output webpage

**Full Changelog**: https://github.com/LIVVkit/evv4esm/compare/v0.5.1...v0.5.2

EVV provides a number of statistical climate reproducibility tests of Earth system models for non-bit-for-bit
changes. Several changes are contained in this release.

Bugfixes
- 13 Fixes issue where joining the columns to a DataFrame in the TSC test broke with Pandas >v2.0

System updates
- 14 Adds automated testing and releasing

**Full Changelog**: https://github.com/LIVVkit/evv4esm/compare/v0.5.0...v0.5.1

* Update copyright date

* Bump version number

* Fix readme formatting

EVV provides a number of statistical climate reproducibility tests of Earth system models for non-bit-for-bit
changes. Several changes are contained in this release.

Major updates
-
- Implement Benjamini and Yekutieli (2001) method for false discovery rate correction in the MVK test
- This takes advantage of multiple concurrent tests to reduce erroneous rejection of null hypotheses
- P-values are adjusted then compared against the global significance level (0.05 by default), if _any_ are below the threshold, the tests are considered climate changing (i.e. the ensembles are different)

Minor improvements
-
- Add argument for output figure file format
- Use combined histogram plot for KS-ocean and KS-atmosphere tests
- Add sort-able tables to output

Bug fixes
-
- Cast arrays to float, fix bug for loading new PGN data
- Fix doubly defined function


**Full Changelog**: https://github.com/LIVVkit/evv4esm/compare/v0.4.0...v0.5.0

EVV provides a number of statistical climate reproducibility tests of Earth system models for non-bit-for-bit
changes.

Major changes
- Add Kolmogorov-Smirnov multi-variate test for MPAS-Ocean
- Performs K-S test at each grid cell for multiple variables
- Uses false discovery rate correction to compensate for overconfidence
- Add multi-instance ensemble processing for MPAS output (tested with ocean and sea ice)

Additional changes:
- Adds statsmodels dependency
- Visual tweaks to output plots

**Full Changelog**: https://github.com/LIVVkit/evv4esm/compare/v0.3.2...v0.4.0