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

Data sets

Euroclim500 - Causes of change in European mean and extreme climate over the past 500 years: climate variable output from HadCM3 numerical model A. Schurer, S. F. B. Tett, M. Mineter, and G. C. Hegerl http://catalogue.ceda.ac.uk/uuid/b6c714aad70936d663e2e235aa91187c

Updated high-resolution grids of monthly climatic observations – the CRU TS3.10 Dataset (https://crudata.uea.ac.uk/cru/data/hrg/cru_ts_3.23/) I. Harris, P. D. Jones, T. J. Osborn, and D. H. Lister https://doi.org/10.1002/joc.3711

Ensemble Kalman Fitting Paleo-Reanalysis Version 1.1 J. Franke, S. Brönnimann, J. Bhend, and Y. Brugnara http://cera-www.dkrz.de/WDCC/ui/Compact.jsp?acronym=EKF400_v1.1

NOAA/WDS Paleoclimatology - Northern Hemisphere Observed and Simulated Tree Ring Width Data 1401-2000 CE J. Franke, M. N. Evans, A. P. Schurer, A. P. and G. C. Hegerl https://doi.org/10.25921/8hpf-a451

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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.