temporal.downscale.functions.RdThis 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.
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, ...)
| 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 propogate 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? |
Temporal Downscale Functions Met variable functions that are called in gen.subdaily.models and predict.subdaily.workflow
Other tdm - Temporally Downscale Meteorology: gen.subdaily.models,
lm_ensemble_sims,
model.train, nc.merge,
predict_subdaily_met,
save.betas, save.model,
subdaily_pred