Articles | Volume 11, issue 1
https://doi.org/10.5194/gmd-11-351-2018
https://doi.org/10.5194/gmd-11-351-2018
Model description paper
 | 
25 Jan 2018
Model description paper |  | 25 Jan 2018

Parametric decadal climate forecast recalibration (DeFoReSt 1.0)

Alexander Pasternack, Jonas Bhend, Mark A. Liniger, Henning W. Rust, Wolfgang A. Müller, and Uwe Ulbrich

Viewed

Total article views: 3,780 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,539 1,125 116 3,780 131 116
  • HTML: 2,539
  • PDF: 1,125
  • XML: 116
  • Total: 3,780
  • BibTeX: 131
  • EndNote: 116
Views and downloads (calculated since 20 Jul 2017)
Cumulative views and downloads (calculated since 20 Jul 2017)

Viewed (geographical distribution)

Total article views: 3,780 (including HTML, PDF, and XML) Thereof 3,574 with geography defined and 206 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Saved (final revised paper)

Latest update: 21 Jun 2025
Download
Short summary
We propose a decadal forecast recalibration strategy (DeFoReSt) which simultaneously adjusts unconditional and conditional bias, as well as the ensemble spread while considering the typical setting of decadal predictions, i.e., model drift and a climate trend. We apply DeFoReSt to decadal toy model data and surface temperature forecasts from the MiKlip system and find consistent improvements in forecast quality compared with a simple calibration of the lead-time-dependent systematic errors.
Share