DOI: 10.1007/s00382-012-1483-0
Scopus记录号: 2-s2.0-84884704759
论文题名: Identifying coherent spatiotemporal modes in time-uncertain proxy paleoclimate records
作者: Anchukaitis K.J. ; Tierney J.E.
刊名: Climate Dynamics
ISSN: 9307575
出版年: 2013
卷: 41, 期: 2017-05-06 起始页码: 1291
结束页码: 1306
语种: 英语
英文关键词: Africa
; Empirical orthogonal functions
; Geochronology
; Monte Carlo
; Paleoclimate
; Uncertainty
英文摘要: 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. © 2012 Springer-Verlag.
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资源类型: 期刊论文
标识符: http://119.78.100.158/handle/2HF3EXSE/54794
Appears in Collections: 过去全球变化的重建
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作者单位: Lamont-Doherty Earth Observatory of Columbia University, Palisades, NY, 10964, United States; Woods Hole Oceanographic Institution, Woods Hole, MA, 02543, United States
Recommended Citation:
Anchukaitis K.J.,Tierney J.E.. Identifying coherent spatiotemporal modes in time-uncertain proxy paleoclimate records[J]. Climate Dynamics,2013-01-01,41(2017-05-06)