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 by Cannon (2016, submitted) are supported: MBCp, MBCr, and MBCn.

Author
Alex J. Cannon
Date of publication
2016-10-25 23:03:51
Maintainer
Alex J. Cannon <alex.cannon@canada.ca>
License
GPL-2
Version
0.10-1

View on CRAN

Man pages

cccma
Sample CanESM2 and CanRCM4 data
escore
Energy distance score
MBCn
Multivariate bias correction (N-pdft)
MBCp
Multivariate bias correction (Pearson correlation)
MBC-package
Multivariate Bias Correction of Climate Model Outputs
MBCr
Multivariate bias correction (Spearman rank correlation)
MRS
Multivariate linear rescaling using Cholesky decomposition
QDM
Univariate bias correction via quantile delta mapping
rot.random
Random orthogonal rotation

Files in this package

MBC
MBC/inst
MBC/inst/CITATION
MBC/NAMESPACE
MBC/data
MBC/data/cccma.RData
MBC/R
MBC/R/MBC-QDM.R
MBC/MD5
MBC/DESCRIPTION
MBC/man
MBC/man/MBC-package.Rd
MBC/man/MRS.Rd
MBC/man/QDM.Rd
MBC/man/rot.random.Rd
MBC/man/MBCn.Rd
MBC/man/MBCr.Rd
MBC/man/cccma.Rd
MBC/man/MBCp.Rd
MBC/man/escore.Rd