temporal_downscale_functions

This function contains the functions that do the heavy lifting in gen.subdaily.models() and predict.subdaily.workflow(). Individual variable functions actually generate the models and betas from the dat.train_file and save them in the output file. save.model() and save.betas() are helper functions that save the linear regression model output to a specific location. In the future, we should only save the data that we actually use from the linear regression model because this is a large file. predict.met() is called from predict.subdaily.workflow() and references the linear regression model output to predict the ensemble data.

Usage

temporal.downscale.functions(
  dat.train,
  n.beta,
  day.window,
  resids = FALSE,
  parallel = FALSE,
  n.cores = NULL,
  seed = format(Sys.time(), "%m%d"),
  outfolder,
  print.progress = FALSE,
  ...
)

Arguments

dat.train

- training data generated by tdm_nc2dat.train.R

n.beta

- number of betas to generate

day.window

- number of days surrounding current day we want to pull statistics from

resids

- whether or not to propagate residuals, set to FALSE

parallel

- whether or not to run in parallel. this is a feature still being worked on, set to FALSE

n.cores

- number of cores to use parallel processing on, set to NULL

seed

- allows this to be reproducible

outfolder

= where the output should be stored

print.progress

- print progress of model generation?

...

further arguments, currently ignored

Details

Temporal Downscale Functions Met variable functions that are called in gen.subdaily.models and predict.subdaily.workflow

See also

Other tdm - Temporally Downscale Meteorology: gen.subdaily.models(), lm_ensemble_sims(), model.train(), nc.merge(), predict_subdaily_met(), save.betas(), save.model(), subdaily_pred()

Author

Christy Rollinson, James Simkins