Abstract
High-resolution sedimentary paleoclimate proxy records offer the potential to expand the detection and analysis of decadal- to centennial-scale climate variability during recent millennia, particularly within regions where traditional high-resolution proxies may be short, sparse, or absent. However, time uncertainty in these records potentially limits a straightforward objective identification of broad-scale patterns of climate variability. Here, we describe a procedure for identifying common patterns of spatiotemporal variability from time uncertain sedimentary records. This approach, which we term Monte Carlo Empirical Orthogonal Function analysis, uses iterative age modeling and eigendecomposition of proxy time series to isolate common regional patterns and estimate uncertainties. As a test case, we apply this procedure to a diverse set of time-uncertain lacustrine proxy records from East Africa. We also perform a pseudoproxy experiment using climate model output to examine the ability of the method to extract shared anomalies given known signals. We discuss the advantages and disadvantages of our approach, including possible extensions of the technique.
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Acknowledgments
We thank Dan Amrhein, Ed Cook, Julien Emile-Geay and Martin Tingley for useful discussion, and two anonymous reviewers for their helpful feedback. J. E. T. acknowledges the UCAR Climate and Global Change Postdoctoral Fellowship for support. Example MATLAB code for the MCEOF procedure is available from the authors.
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The authors contributed equally to this work. LDEO Contribution number 7585.
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Anchukaitis, K.J., Tierney, J.E. Identifying coherent spatiotemporal modes in time-uncertain proxy paleoclimate records. Clim Dyn 41, 1291–1306 (2013). https://doi.org/10.1007/s00382-012-1483-0
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DOI: https://doi.org/10.1007/s00382-012-1483-0