clim_dist_seasonal.RdCompute seasonal climate data spatial probability distributions.
clim_dist_seasonal(in_dir = snapdef()$ar5dir_dist_monthly, out_dir = snapdef()$ar5dir_dist_seasonal, variable, rcp, density.args = list(n = 200, adjust = 0.1), mc.cores = 32)
| in_dir | input directory, e.g., |
|---|---|
| out_dir | output directory, e.g., |
| variable | character, optional, to split into smaller file batches. See details. |
| rcp | character, optional, to split into smaller file batches. See details. |
| density.args | arguments list passed to |
| mc.cores | number of CPUs when processing years in parallel. Defaults to 32 assuming Atlas compute node context. |
Seasons are DJF, MAM, JJA and SON 3-month averages. A fifth "season" of full annual averages is also included.
For efficiency, this function operates on outputs from clim_dist_monthly. It does not need to redundantly
access source downscaled geotiffs.
Use variable to optionally specify a climate variable file identifier: "pr", "tas", "tasmin" or "tasmax".
This will be used for pattern matching when listing files inside in_dir.
Similarly, use rcp to process a smaller batch.
These are helpful when there are many files, such that there could be RAM or time limitations.
# NOT RUN { clim_dist_seasonal() # all variables clim_dist_seasonal(variable = "pr") # precipitation clim_dist_seasonal(variable = "pr", rcp = "rcp60") # precipitation and RCP 6.0 # }