Skip to contents

Read and Process CRU TS Near Surface Temperature Data

Source: R/data_cru.R
read_cru_tmp.Rd

This function reads CRU TS (Climate Research Unit Time Series) v4.09 near surface temperature climate data files from local storage, unzips them if necessary, loads them as raster stacks, and filters the data to match PRIO-GRID temporal coverage. The function also support reading supporting statistics.

Usage

read_cru_tmp(variable = "tmp")

Arguments

variable

A character string specifying the climate variable to extract from the raster stack. Must match the prefix of variable names in the CRU dataset. Available options include "tmp" (temperature), "stn" (station count), "mae" (mean absolute error), and "maea". Default is "tmp".

Value

A SpatRaster object (from the terra package) with the following characteristics:

  • Spatial Resolution: 0.5° x 0.5° global grid

  • Spatial Extent: Global coverage (-180° to 180° longitude, -90° to 90° latitude)

  • Coordinate System: WGS84 geographic (lon/lat)

  • Temporal Coverage: Filtered to match PRIO-GRID date intervals

  • Layer Names: Set to corresponding timestamps

  • Units: Variable-specific (e.g., degrees Celsius for temperature)

References

Harris I, Osborn TJ, Jones P, Lister D (2020). “Version 4 of the CRU TS Monthly High-Resolution Gridded Multivariate Climate Dataset.” Scientific Data, 7(1), 109. ISSN 2052-4463, doi:10.1038/s41597-020-0453-3 .

See also

get_pgfile for file retrieval functionality, pg_date_intervals for PRIO-GRID temporal boundaries

Examples

if (FALSE) { # \dontrun{
# Load temperature data (default)
temp_data <- read_cru()

# Load station count data
station_data <- read_cru(variable = "stn")

# Load mean absolute error data
error_data <- read_cru(variable = "mae")

} # }