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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) &lt;<a href="https://doi.org/10.1175%2FJCLI-D-15-0679.1" target="_top">doi:10.1175/JCLI-D-15-0679.1</a>&gt; and Cannon (2018) &lt;<a href="https://doi.org/10.1007%2Fs00382-017-3580-6" target="_top">doi:10.1007/s00382-017-3580-6</a>&gt; 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.



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MBC: Multivariate Bias Correction of Climate Model Outputs

https://cran.r-project.org/web/packages/MBC/index.html

Calibrate and apply multivariate bias correction algorithms for climate model simulations of multiple climate variables. Three methods described by Cannon (2016) &lt;<a href="https://doi.org/10.1175%2FJCLI-D-15-0679.1" target="_top">doi:10.1175/JCLI-D-15-0679.1</a>&gt; and Cannon (2018) &lt;<a href="https://doi.org/10.1007%2Fs00382-017-3580-6" target="_top">doi:10.1007/s00382-017-3580-6</a>&gt; 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.



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https://cran.r-project.org/web/packages/MBC/index.html

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) &lt;<a href="https://doi.org/10.1175%2FJCLI-D-15-0679.1" target="_top">doi:10.1175/JCLI-D-15-0679.1</a>&gt; and Cannon (2018) &lt;<a href="https://doi.org/10.1007%2Fs00382-017-3580-6" target="_top">doi:10.1007/s00382-017-3580-6</a>&gt; 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.

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      Multivariate Bias Correction of Climate Model Outputs [R package MBC version 0.10-7]
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      Calibrate and apply multivariate bias correction algorithms for climate model simulations of multiple climate variables. Three methods described by Cannon (2016) &lt;<a href="https://doi.org/10.1175%2FJCLI-D-15-0679.1" target="_top">doi:10.1175/JCLI-D-15-0679.1</a>&gt; and Cannon (2018) &lt;<a href="https://doi.org/10.1007%2Fs00382-017-3580-6" target="_top">doi:10.1007/s00382-017-3580-6</a>&gt; 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.
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