met_temporal_downscale.Gaussian_ensemble.Rdmet_temporal_downscale.Gaussian_ensemble takes source data and a training dataset from the same site and temporally downscales the source dataset to the resolution of the training dataset based on statistics of the training dataset.
met_temporal_downscale.Gaussian_ensemble(in.path, in.prefix, outfolder, input_met, train_met, site_id, overwrite = FALSE, verbose = FALSE, swdn_method = "sine", n_ens = 10, w_len = 20, utc_diff = -6, ...)
| in.path | |
|---|---|
| in.prefix | |
| input_met | - the source dataset that will temporally downscaled by the train_met dataset |
| train_met | - the observed dataset that will be used to train the modeled dataset in NC format. i.e. Flux Tower dataset (see download.Fluxnet2015 or download.Ameriflux) |
| overwrite | logical: replace output file if it already exists? |
| verbose | logical: should |
| swdn_method | - Downwelling shortwave flux in air downscaling method (options are "sine", "spline", and "Waichler") |
| n_ens | - numeric value with the number of ensembles to run |
| w_len | - numeric value that is the window length in days |
| utc_diff | - numeric value in HOURS that is local standard time difference from UTC time. CST is -6 |