Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 17, issue 14
Articles | Volume 17, issue 14
https://doi.org/10.5194/gmd-17-5733-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-17-5733-2024
© Author(s) 2024. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 17, issue 14
Development and technical paper
 | 
31 Jul 2024
Development and technical paper |  | 31 Jul 2024

Bayesian hierarchical model for bias-correcting climate models

Jeremy Carter, Erick A. Chacón-Montalván, and Amber Leeson

Viewed

Total article views: 1,574 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,170 266 138 1,574 48 61
  • HTML: 1,170
  • PDF: 266
  • XML: 138
  • Total: 1,574
  • BibTeX: 48
  • EndNote: 61
Views and downloads (calculated since 02 Jan 2024)
Cumulative views and downloads (calculated since 02 Jan 2024)

Viewed (geographical distribution)

Total article views: 1,574 (including HTML, PDF, and XML) Thereof 1,574 with geography defined and 0 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 

Cited

Latest update: 30 Jun 2025
Download
Short summary
Climate models are essential tools in the study of climate change and its wide-ranging impacts on life on Earth. However, the output is often afflicted with some bias. In this paper, a novel model is developed to predict and correct bias in the output of climate models. The model captures uncertainty in the correction and explicitly models underlying spatial correlation between points. These features are of key importance for climate change impact assessments and resulting decision-making.
Read more
Share