Geoscientific Model Development
Geoscientific Model Development
GMD
Articles | Volume 18, issue 22
Articles | Volume 18, issue 22
https://doi.org/10.5194/gmd-18-9015-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/gmd-18-9015-2025
© Author(s) 2025. This work is distributed under
the Creative Commons Attribution 4.0 License.
Articles | Volume 18, issue 22
Model description paper
 | 
25 Nov 2025
Model description paper |  | 25 Nov 2025

ClimLoco1.0: CLimate variable confidence Interval of Multivariate Linear Observational COnstraint

Valentin Portmann, Marie Chavent, and Didier Swingedouw

Viewed

Total article views: 2,180 (including HTML, PDF, and XML)
HTML PDF XML Total BibTeX EndNote
1,914 188 78 2,180 69 81
  • HTML: 1,914
  • PDF: 188
  • XML: 78
  • Total: 2,180
  • BibTeX: 69
  • EndNote: 81
Views and downloads (calculated since 24 Jan 2025)
Cumulative views and downloads (calculated since 24 Jan 2025)

Viewed (geographical distribution)

Total article views: 2,180 (including HTML, PDF, and XML) Thereof 2,147 with geography defined and 33 with unknown origin.
Country # Views %
  • 1
1
 
 
 
 
Latest update: 13 Apr 2026
Download
Short summary
The future climate is very uncertain due to the large dispersion in projections from numerical models. Observational constraints (OCs) decrease this uncertainty using real-world observations. The article proposes a new rigorous statistical OC model that provides updated estimates of confidence intervals as used in Intergovernmental Panel on Climate Change (IPCC) reports. It allows the use of multiple observations simultaneously and proposes an innovative and proper illustration of this OC approach.
Read more
Share