climr - Version 0.2.2

Minor release. Includes a pre_cache function, some bug and performance fixes, and some updated variable names for annual variables.

Climate Change - Climate Downscaling - R
Published by kdaust 7 months ago

climr - Version 0.2.0

Major release - includes substantial additional functionality including raster-native downscaling and in-db downscaling, as well as an improved climr climatology and a new observed time series dataset. This release has some breaking changes - see News.

Climate Change - Climate Downscaling - R
Published by kdaust 10 months ago

climr - v0.1.1

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

Climate Change - Climate Downscaling - R
Published by kdaust over 1 year ago

climr - 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.

Climate Change - Climate Downscaling - R
Published by kdaust almost 2 years ago

climr - 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

Climate Change - Climate Downscaling - R
Published by kdaust almost 2 years ago

climr - 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

Climate Change - Climate Downscaling - R
Published by CeresBarros about 2 years ago