This release represents the first complete version of the code as used in the published paper.
Gutmann, E. D., J. J. Hamman, M. P. Clark, T. Eidhammer, A. W. Wood, and J. R. Arnold, 2022: En-GARD: A Statistical Downscaling Framework to Produce and Test Large Ensembles of Climate Projections. J. Hydrometeor., 23, 1545–1561, https://doi.org/10.1175/JHM-D-21-0142.1.
What's Changed
- Many small bugfixes
- Addition of stochastic perturbation to analog fields to prevent identical values from always selecting the first dates
- Improved calendar handling
- Speed improvements to a few components
- Internal code cleanup
- adding ERA5 conversion file by @sam-hartke-ucar in #79
- Update writeERA5file.py to run in parallel by @sam-hartke-ucar in #81
New Contributors
- @wcurrier made their first contribution in 4f150e9
- @sam-hartke-ucar made their first contribution in #79
Full Changelog: v0.4...v1.0
Contributors
wcurrier and sam-hartke-ucar