Articles | Volume 18, issue 12
https://doi.org/10.5194/cp-18-2583-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-18-2583-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Research article
| 
14 Dec 2022
Research article |
| 14 Dec 2022
| 14 Dec 2022
Climate change detection and attribution using observed and simulated tree-ring width
Institute of Geography, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Oeschger Centre for Climate Change Research, University of Bern, Bern, Switzerland
Department of Geology and Earth System Science Interdisciplinary
Center, University of Maryland, College Park, Maryland 20742, USA
Andrew Schurer
School of GeoSciences, The University of Edinburgh, Edinburgh, United Kingdom
Gabriele C. Hegerl
School of GeoSciences, The University of Edinburgh, Edinburgh, United Kingdom
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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.
Detection and attribution is a statistical method to evaluate if external factors or random...
