Package index • cd

Read the data

Climate series for an area, or daily air temperature at points.

cd_catalog(): Load and parse a STAC catalog
cd_catalog_default(): Default STAC catalog URL
cd_extract(): Extract zonal mean time series for an AOI
cd_extract_daily(): Extract daily air temperature at points
cd_crop(): Crop and mask a raster to an AOI

Departures and trends

Compare a series with a baseline or between two windows, test its trend, and tabulate the result. These take any annual series in cd’s long format.

cd_baseline(): Compute climatological baseline
cd_anomaly(): Compute climate anomalies
cd_compare(): Compare arbitrary time windows
cd_trend(): Compute trend statistics
cd_summary(): Format trend results as a reporting table

Plots

cd_plot_timeseries(): Plot climate anomaly time series
cd_plot_comparison(): Plot time window comparison

Variables, periods and seasons

cd_variables(): Climate variable metadata
cd_periods(): Valid temporal aggregation periods
cd_seasons(): Default meteorological season definitions

Cache

Files are cached after the first read and downloaded again only when they are republished.

cd_cache_clear(): Clear the cd cache
cd_cache_fetch(): Fetch a remote COG through the on-disk cache
cd_cache_info(): Show cd cache info
cd_cache_path(): Get cd cache directory path

Publishing the catalog

For maintainers. A scheduled workflow uses these to write the published files and catalog; users do not need them.

cd_aggregate(): Aggregate monthly rasters to seasonal and annual periods
cd_cog_write(): Write a SpatRaster as a Cloud-Optimized GeoTIFF
cd_stac_catalog(): Generate a static STAC catalog from COGs
cd_s3_push(): Push files to S3

Downloading from the Copernicus Climate Data Store

An alternative route to monthly ERA5-Land through the Copernicus Climate Data Store. The published catalog is not built this way.

cd_fetch(): Download ERA5-Land climate data
cd_derive(): Derive climate variables from raw ERA5-Land fields