Articles | Volume 25, issue 20
https://doi.org/10.5194/acp-25-13327-2025
https://doi.org/10.5194/acp-25-13327-2025
Research article
 | 
22 Oct 2025
Research article |  | 22 Oct 2025

Application of PRIM for understanding patterns in carbon dioxide model-observation differences

Tobias Gerken, Kenneth J. Davis, Klaus Keller, and Sha Feng

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Short summary
We apply the Patient Rule Induction Method (PRIM) technique to airborne CO2 and meteorological data to better understand atmospheric conditions and implications for carbon dioxide model-observation-mismatches. We found PRIM is capable of separating observations from different seasons and levels based on atmospheric conditions. Large magnitude carbon dioxide model-observation-differences were associated with non-typical atmospheric conditions, with implications for transport model evaluation.
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