waveletARSubset: Resample from WARM outputs

In Deltares/weathergenr: Gridded semi-parametric weather generator

Resample from WARM outputs

Description

Resample from WARM outputs

Usage

waveletARSubset(
  series.obs = NULL,
  series.sim = NULL,
  power.obs = NULL,
  power.sim = NULL,
  power.period = NULL,
  power.signif = NULL,
  sample.num = 5,
  seed = NULL,
  save.plots = TRUE,
  save.series = TRUE,
  verbose = FALSE,
  output.path = NULL,
  padding = TRUE,
  bounds = list(mean = c(0.95, 1.05), sd = c(0.9, 1.1), min = c(0.9, 1.1), max = c(0.9,
    1.1), power = c(0.6, 2.25), nonsignif.threshold = 0.9)
)

Arguments

series.obs	A numeric vector of observd time-series values.
series.sim	A numeric matrix, with simulated time-series.
power.obs	A numeric vector of power spectra of observed time-series.
power.sim	A numeric matrix of power spectrum of simulated time-series.
power.period	A time-series of power periods calculated.
power.signif	A time-series of power significance.
sample.num	A numeric value to define the final sample size.
seed	A numeric value to define a seed for resampling.
save.plots	A logical, to save the plots to file.
save.series	A logical to write the results to csv files.
verbose	A logical to decide if further information to be displayed on the screen.
output.path	Output folder path
padding	placeholder
bounds	placeholder

Deltares/weathergenr documentation built on July 25, 2024, 6:15 p.m.