Download and plot essential climate data

Computes expected climate change as the difference between a CMIP6 projection retrieved from WorldClim and its 1970-2000 reference-period baseline, on a common one-degree grid.

Usage

get_cmip6_anom(
  var = "bioc",
  bio = 1,
  ssp = "585",
  period = "2081-2100",
  model = "MPI-ESM1-2-HR",
  res = "10m",
  use_cache = TRUE,
  write_cache = getOption("hs_write_cache")
)

Arguments

var, bio, ssp, period, model, res

Passed through to get_cmip6.

use_cache

(boolean) Return cached anomaly data if available, defaults to TRUE.

write_cache

(boolean) Write data to cache, defaults to FALSE.

Value

Invisibly returns a tibble with columns lon, lat, and delta: the projected change versus the 1970-2000 baseline for each cell. For temperature variables delta is the absolute change in degrees C; for precipitation variables (var "prec", or bioc 12-19) it is the percent change, capped at +/-100\ baseline is near zero.

Details

get_cmip6_anom downloads the projection and the corresponding WorldClim v2.1 baseline, aggregates both to a one-degree grid, and subtracts cell by cell. Differencing removes most of the model's systematic bias, leaving the expected change. Polar regions can show spurious values where the downscaled grids differ in land-sea masking.

References

See get_cmip6.

Author

Hernando Cortina, hch@alum.mit.edu

Examples

# \donttest{
anom <- get_cmip6_anom()
plot_cmip6_anom(anom)

# }