Model-harmonics

Latest version: v1.1.0

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1.1.0

Some major refactors in spherical harmonic dependencies
Added new SMB programs and new capabilities

* `feat`: add GSFC GIA program (35)
* `feat`: shift ERA P-E, MERRA-2 SMB and GLDAS TWS to mid-month values (35)
* `feat`: add option `--mask` to GLDAS harmonics to use custom (35)
* `feat`: added flatten option to MERRA-2 subsetter (38)
* `feat`: add downscaled RACMO harmonic program (39)
* `feat`: add MERRA2-hybrid v1.2.1 (40)
* `feat`: add JPL-GEMB SMB harmonic programs (41)
* `feat`: add `constants` class with ellipsoidal and gravity parameters (45)
* `refactor`: MERRA hybrid variable defaults to include firn height to address 31 (32)
* `refactor`: use f-strings for formatting ascii and verbose output (42)
* `refactor`: single implicit import of spherical harmonic tools (44)
* `refactor`: function for associated legendre polynomials (46)
* `fix`: slimmer build for documentation (33)
* `fix`: hardcode GSFC subsetting api url (36)
* `fix`: adjust time range for CMR queries (36)
* `fix`: JPL ECCO sync for LLC tiles (37)
* `fix`: racmo downscaled regex pattern
* `fix`: added function to attempt to get variable attributes (43)
* `fix`: copy input date variables to output spatial object (43)
* `fix`: don't add `get_git_revision_hash` to files
* `fix`: regex string prefix in reanalysis (46)
* `docs`: add descriptors about NASA cloud migration for PODAAC and GESDISC (32)
* `docs`: updated structure of documentation (34)
* `docs`: use `sphinx-argparse` `v0.4.0` (42)

**Full Changelog**: https://github.com/tsutterley/model-harmonics/compare/1.0.0.3...1.1.0

1.0.0.3

Release corresponding with publication to pypi

1.0.0.2

Working release for obtaining and working with spherical harmonic coefficients from atmospheric, oceanic and land surface models in Python. Release corresponding with submission to the third Ice Sheet Mass Balance Intercomparison Exercise (IMBIE3).

1.0.0.0

Working release for obtaining and working with spherical harmonic coefficients from atmospheric, oceanic and land surface models in Python. Release corresponding with the publication of the Mohajerani et al. paper "Automated Dynamic Mascon Generation for GRACE and GRACE-FO Harmonic Processing" in Remote Sensing.

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