bc_cwt: CWT based quantile mapping

In WQM: Wavelet-Based Quantile Mapping for Postprocessing Numerical Weather Predictions

CWT based quantile mapping

Description

CWT based quantile mapping

Usage

bc_cwt(
  data,
  subset,
  variable,
  theta = 0.1,
  QM = c("MBC", "MRS", "QDM"),
  number_sim = 5,
  wavelet = "morlet",
  dt = 1,
  dj = 1,
  method = "M2",
  block = 3,
  seed = NULL,
  PR.cal = FALSE,
  do.plot = FALSE,
  ...
)

Arguments

data	a list of input dataset
subset	a index of number denoting the subset for calibration
variable	a character string denoting the type of variable.
theta	threshold of rainfall.
QM	a character string denoting the qm method used.
number_sim	The total number of realizations.
wavelet	a character string denoting the wavelet filter to use in calculating the CWT.
dt	sampling resolution in the time domain.
dj	sampling resolution in the frequency domain.
method	Shuffling method, M1: non-shuffling and M2: shuffling. M2 by default.
block	Block size.
seed	Seed for shuffling process.
PR.cal	Logical value for phase randomization of calibration.
do.plot	Logical value for ploting.
...	Additional arguments for QDM.

Value

a list of post-processed data

WQM documentation built on Oct. 11, 2024, 9:07 a.m.