Articles | Volume 19, issue 15
https://doi.org/10.5194/gmd-19-7457-2026
https://doi.org/10.5194/gmd-19-7457-2026
Model description paper
 | 
13 Aug 2026
Model description paper |  | 13 Aug 2026

SDMBCv2 (v1.0): correcting systematic biases in RCM inputs for future projection

Youngil Kim and Jason P. Evans

Viewed

Total article views: 1,870 (including HTML, PDF, and XML)
HTML PDF XML Total Supplement BibTeX EndNote
1,275 468 127 1,870 258 77 124
  • HTML: 1,275
  • PDF: 468
  • XML: 127
  • Total: 1,870
  • Supplement: 258
  • BibTeX: 77
  • EndNote: 124
Views and downloads (calculated since 04 Jan 2026)
Cumulative views and downloads (calculated since 04 Jan 2026)

Viewed (geographical distribution)

Total article views: 1,870 (including HTML, PDF, and XML) Thereof 1,850 with geography defined and 20 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Aug 2026
Download
Short summary
Climate models used to study future climate often contain systematic errors that affect high-resolution simulations. This study presents a new open-source tool that reduces these errors before regional climate simulations are run. By correcting multiple atmospheric variables together and at short time scales, the method improves realism and consistency in simulated climate patterns. This leads to more reliable regional projections, particularly for extreme weather events.
Share