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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.

Versions across snapshots

VersionRepositoryFileSize
0.10-7 rolling linux/jammy R-4.5 MBC_0.10-7.tar.gz 542.6 KiB
0.10-7 rolling linux/noble R-4.5 MBC_0.10-7.tar.gz 542.7 KiB
0.10-7 rolling source/ R- MBC_0.10-7.tar.gz 487.4 KiB
0.10-7 latest linux/jammy R-4.5 MBC_0.10-7.tar.gz 542.6 KiB
0.10-7 latest linux/noble R-4.5 MBC_0.10-7.tar.gz 542.7 KiB
0.10-7 latest source/ R- MBC_0.10-7.tar.gz 487.4 KiB
0.10-7 2026-04-26 source/ R- MBC_0.10-7.tar.gz 487.4 KiB
0.10-7 2026-04-23 source/ R- MBC_0.10-7.tar.gz 487.4 KiB
0.10-7 2026-04-09 windows/windows R-4.5 MBC_0.10-7.zip 545.4 KiB
0.10-7 2025-04-20 source/ R- MBC_0.10-7.tar.gz 487.4 KiB

Dependencies (latest)

Depends