Publication Date:
2022-05-25
Description:
Author Posting. © The Author(s), 2012. This is the author's version of the work. It is posted here by permission of Springer for personal use, not for redistribution. The definitive version was published in Climate Dynamics 41 (2013): 1291-1306, doi:10.1007/s00382-012-1483-0.
Description:
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 (MCEOF) 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.
Description:
JET acknowledges the UCAR Climate
and Global Change Postdoctoral Fellowship for support.
Description:
2014-08-26
Keywords:
Paleoclimate
;
Africa
;
Empirical orthogonal functions
;
Monte Carlo
;
Uncertainty
;
Geochronology
Repository Name:
Woods Hole Open Access Server
Type:
Preprint
Format:
application/pdf
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