Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5367-2020
https://doi.org/10.5194/gmd-13-5367-2020
Model description paper
 | 
06 Nov 2020
Model description paper |  | 06 Nov 2020

R2D2 v2.0: accounting for temporal dependences in multivariate bias correction via analogue rank resampling

Mathieu Vrac and Soulivanh Thao

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Latest update: 02 Nov 2024
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Short summary
We propose a multivariate bias correction (MBC) method to adjust the spatial and/or inter-variable properties of climate simulations, while also accounting for their temporal dependences (e.g., autocorrelations). It consists on a method reordering the ranks of the time series according to their multivariate distance to a reference time series. Results show that temporal correlations are improved while spatial and inter-variable correlations are still satisfactorily corrected.