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MBC (version 0.10-5)

Multivariate Bias Correction of Climate Model Outputs

Description

Calibrate and apply multivariate bias correction algorithms for climate model simulations of multiple climate variables. Three methods described by Cannon (2016) and Cannon (2018) are implemented — (i) MBC Pearson correlation (MBCp), (ii) MBC rank correlation (MBCr), and (iii) MBC N-dimensional PDF transform (MBCn) — as is the Rank Resampling for Distributions and Dependences (R2D2) method.

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Version

Install

install.packages('MBC')

Monthly Downloads

704

Version

0.10-5

License

GPL-2

Maintainer

Alex Cannon

Last Published

October 19th, 2020

Functions in MBC (0.10-5)

R2D2

Multivariate bias correction (R2D2)
QDM

Univariate bias correction via quantile delta mapping
MRS

Multivariate linear rescaling using Cholesky decomposition
MBC-package

Multivariate Bias Correction of Climate Model Outputs
MBCn

Multivariate bias correction (N-pdft)
MBCr

Multivariate bias correction (Spearman rank correlation)
MBCp

Multivariate bias correction (Pearson correlation)
escore

Energy distance score
rot.random

Random orthogonal rotation
cccma

Sample CanESM2 and CanRCM4 data