Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 15, issue 15
Articles | Volume 15, issue 15
https://doi.org/10.5194/gmd-15-6165-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-15-6165-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 15, issue 15
Methods for assessment of models
 | 
05 Aug 2022
Methods for assessment of models |  | 05 Aug 2022

MIdASv0.2.1 – MultI-scale bias AdjuStment

Peter Berg, Thomas Bosshard, Wei Yang, and Klaus Zimmermann

Viewed

Total article views: 3,417 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
2,522 819 76 3,417 92 138
  • HTML: 2,522
  • PDF: 819
  • XML: 76
  • Total: 3,417
  • BibTeX: 92
  • EndNote: 138
Views and downloads (calculated since 21 Feb 2022)
Cumulative views and downloads (calculated since 21 Feb 2022)

Viewed (geographical distribution)

Total article views: 3,417 (including HTML, PDF, and XML) Thereof 3,217 with geography defined and 200 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 27 Nov 2025
Download
Short summary
When performing impact analyses with climate models, one is often confronted with the issue that the models have significant bias. Commonly, the modelled climatological temperature deviates from the observed climate by a few degrees or it rains excessively in the model. MIdAS employs a novel statistical model to translate the model climatology toward that observed using novel methodologies and modern tools. The coding platform allows opportunities to develop methods for high-resolution models.
Read more
Share