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.