Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 13, issue 11
Articles | Volume 13, issue 11
https://doi.org/10.5194/gmd-13-5367-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-13-5367-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 13, issue 11
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

Viewed

Total article views: 3,913 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
2,566 1,244 103 3,913 450 135 189
  • HTML: 2,566
  • PDF: 1,244
  • XML: 103
  • Total: 3,913
  • Supplement: 450
  • BibTeX: 135
  • EndNote: 189
Views and downloads (calculated since 30 Jun 2020)
Cumulative views and downloads (calculated since 30 Jun 2020)

Viewed (geographical distribution)

Total article views: 3,913 (including HTML, PDF, and XML) Thereof 3,617 with geography defined and 296 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 23 Mar 2026
Download
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.
Read more
Share