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) 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.


Reference manual

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0.10-5 by Alex J. Cannon, a year ago

Browse source code at

Authors: Alex J. Cannon

Documentation:   PDF Manual  

Task views: Hydrological Data and Modeling

GPL-2 license

Depends on Matrix, energy, FNN

See at CRAN