Articles | Volume 18, issue 12
https://doi.org/10.5194/cp-18-2583-2022
https://doi.org/10.5194/cp-18-2583-2022
Research article
 | 
14 Dec 2022
Research article |  | 14 Dec 2022

Climate change detection and attribution using observed and simulated tree-ring width

Jörg Franke, Michael N. Evans, Andrew Schurer, and Gabriele C. Hegerl

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Latest update: 24 Feb 2024
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Short summary
Detection and attribution is a statistical method to evaluate if external factors or random variability have caused climatic changes. We use for the first time a comparison of simulated and observed tree-ring width that circumvents many limitations of previous studies relying on climate reconstructions. We attribute variability in temperature-limited trees to strong volcanic eruptions and for the first time detect a spatial pattern in the growth of moisture-sensitive trees after eruptions.