v0.1.1

New minor release. Includes bug fixes, improved speed for downloads of GCM-SSP timeseries, and ability to specify specific runs.

v0.1.0

Breaking release! We have completely overhauled the naming conventions in climr (better now than later) so this release will break your workflows. There is a table included in the release giving a correspondence between old and new names. Other features include a new observational timeseries dataset (cru.gpcc), added 2023 to the climatena observational dataset, some cool plotting functions from Colin, and various bug fixes.

v0.0.4

v0.0.4! Main improvements are:

• fixed gap between historic and future modelled timeseries
• added full North America domain to GCM future periods

v0.0.3

Enhancements

• new tests comparing to reference outputs
• code further streamlined
• new messages warn user about meaningless downscale/climr_downscale argument combinations
• argument options in climr_downscale(..., which_normal) now match the options of normal_input(..., normal)
• add plot_bivariate() function to generate plots showing climate model ensemble variation in recent and future climate change.

Behaviour changes

• xyz (argument to climr_downscale and downscale) and in_xyz (argument to get_bb), must now be a 4 column data.table (or coercible class) with lon, lat, elev and id columns. All other columns are ignored and NOT returned. Column order no longer matters.

Bugfixes

• cache fixes
• fixing geographical checks to get highest resolution beyond BC, Canada
• fixing historic_input_ts to get only queried years
• get_bb follows column names