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WQM

Wavelet-based Quantile Mapping

Requirements

# some package can only be install from source
path_ifultools <- "https://cran.r-project.org/src/contrib/Archive/ifultools/ifultools_2.0-26.tar.gz"
if(!require("ifultools")) install.packages(path_ifultools, depen=T, repos = NULL, type = "source")
path_wmtsa <- "https://cran.r-project.org/src/contrib/Archive/wmtsa/wmtsa_2.0-3.tar.gz"
if(!require("wmtsa")) install.packages(path_wmtsa, depen=T, repos = NULL, type = "source")

Installation

You can install the package via devtools from GitHub with:

devtools::install_github("zejiang-unsw/WQM", dependencies = TRUE)

Citation

Jiang, Z., & Johnson, F. (2023). A New Method for Postprocessing Numerical Weather Predictions Using Quantile Mapping in the Frequency Domain. Monthly weather review, 151(8), 1909-1925. doi:10.1175/mwr-d-22-0217.1

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Version

Install

install.packages('WQM')

Monthly Downloads

179

Version

0.1.4

License

GPL (>= 3)

Maintainer

Ze Jiang

Last Published

October 11th, 2024

Functions in WQM (0.1.4)

NWP.rain

Australia NWP rainfall forecasts at lead 1h over Sydney region
prsim

Phase randomization and shuffling
RankHist

Verification Rank and Histogram
fun_cwt_J

Function: Total number of decomposition levels
bc_cwt

CWT based quantile mapping
fun_ifft

Inverse Fourier transform
fun_icwt

Inverse of continuous wavelet transform
sample

Sample data: Rainfall forecasts data