Multivariate Bias Correction of Climate Model Outputs
Energy distance score
Multivariate Bias Correction of Climate Model Outputs
Multivariate bias correction (N-pdft)
Multivariate bias correction (Pearson correlation)
Multivariate bias correction (Spearman rank correlation)
Multivariate linear rescaling using Cholesky decomposition
Univariate bias correction via quantile delta mapping
Multivariate bias correction (R2D2)
Random orthogonal rotation
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.