Articles | Volume 18, issue 22
https://doi.org/10.5194/gmd-18-9015-2025
https://doi.org/10.5194/gmd-18-9015-2025
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

Data sets

Scripts and data to accompany ClimLoco1.0: CLimate variable confidence Interval of Multivariate Linear Observational COnstraint Valentin Portmann et al. https://doi.org/10.5281/zenodo.14679875

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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.
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