MBC: Multivariate Bias Correction of Climate Model Outputs

Calibrate and apply multivariate bias correction algorithms for climate model simulations of multiple climate variables. Three methods described by Cannon (2016) <doi:10.1175/JCLI-D-15-0679.1> and Cannon (2018) <doi:10.1007/s00382-017-3580-6> 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. An additional multivariate rescaling method based on the linear Monge-Kantorovich map for Gaussian optimal transport of dependence structure is also included.

Version:	0.10-8
Depends:	R (≥ 2.10), Matrix, energy, FNN
Published:	2026-06-16
DOI:	10.32614/CRAN.package.MBC
Author:	Alex J. Cannon [aut, cre]
Maintainer:	Alex J. Cannon <alex.cannon at canada.ca>
License:	GPL-2
NeedsCompilation:	no
Citation:	MBC citation info
Materials:	README
In views:	Hydrology
CRAN checks:	MBC results

Documentation:

Reference manual:

MBC.html , MBC.pdf

Downloads:

Package source:	MBC_0.10-8.tar.gz
Windows binaries:	r-devel: MBC_0.10-7.zip, r-release: MBC_0.10-7.zip, r-oldrel: MBC_0.10-7.zip
macOS binaries:	r-release (arm64): MBC_0.10-8.tgz, r-oldrel (arm64): MBC_0.10-8.tgz, r-release (x86_64): MBC_0.10-8.tgz, r-oldrel (x86_64): MBC_0.10-8.tgz
Old sources:	MBC archive

Reverse dependencies:

Reverse imports:

WQM

Linking:

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