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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.

Version:0.10-7
Depends:R (≥ 2.10),Matrix,energy,FNN
Published:2024-11-12
DOI:10.32614/CRAN.package.MBC
Author:Alex J. CannonORCID iD [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_0.10-7.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_0.10-7.tgz, r-oldrel (arm64):MBC_0.10-7.tgz, r-release (x86_64):MBC_0.10-7.tgz, r-oldrel (x86_64):MBC_0.10-7.tgz
Old sources: MBC archive

Reverse dependencies:

Reverse imports:WQM

Linking:

Please use the canonical formhttps://CRAN.R-project.org/package=MBCto link to this page.


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