Articles | Volume 18, issue 12
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

Updated high-resolution grids of monthly climatic observations – the CRU TS3.10 Dataset ( I. Harris, P. D. Jones, T. J. Osborn, and D. H. Lister

Ensemble Kalman Fitting Paleo-Reanalysis Version 1.1 J. Franke, S. Brönnimann, J. Bhend, and Y. Brugnara

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

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.