SDA_downscale_hrly.RdThis function uses the randomForest model to downscale forecast data (hourly) to unmodeled locations using covariates and site locations
SDA_downscale_hrly(nc_file, coords, yyyy, covariates)In quotes, file path for .nc containing ensemble data.
In quotes, file path for .csv file containing the site coordinates, columns named "lon" and "lat".
In string, format is yyyy(year of interest)
SpatRaster stack, used as predictors in randomForest. Layers within stack should be named. Recommended that this stack be generated using 'covariates' instructions in assim.sequential/inst folder
It returns the `downscale_output` list containing lists for the training and testing data sets, models, and predicted maps for each ensemble member.