2010
DOI: 10.1007/s00382-010-0793-3
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Multiproxy summer and winter surface air temperature field reconstructions for southern South America covering the past centuries

Abstract: We statistically reconstruct austral summer (winter) surface air temperature fields back to AD 900 (1706) using 22 (20) annually resolved predictors from natural and human archives from southern South America (SSA). This represents the first regional-scale climate field reconstruction for parts of the Southern Hemisphere at this high temporal resolution. We apply three different reconstruction techniques: multivariate principal component regression, composite plus scaling, and regularized expectation maximizat… Show more

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Cited by 154 publications
(189 citation statements)
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References 82 publications
(72 reference statements)
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“…The proxy matrix was infilled over the 1921-1995 period using the composite plus scale method (Neukom et al, 2011;Neukom et al, 2014).…”
Section: S33 Multi-proxy Reconstruction Detailsmentioning
confidence: 99%
See 1 more Smart Citation
“…The proxy matrix was infilled over the 1921-1995 period using the composite plus scale method (Neukom et al, 2011;Neukom et al, 2014).…”
Section: S33 Multi-proxy Reconstruction Detailsmentioning
confidence: 99%
“…The reconstruction was performed using nested principal component regression (Cook et al, 1994;Neukom et al, 2011). We used an ensemble approach to quantify reconstruction uncertainty (Neukom et al, 2010;Wahl and Smerdon, 2012;Neukom et al, 2014).…”
Section: S33 Multi-proxy Reconstruction Detailsmentioning
confidence: 99%
“…Mann et al 2008;Ljungqvist 2010). On the other hand, despite recent efforts (e.g., Conroy et al 2009;Tierney et al 2010;Neukom et al 2011) fewer records are available from the tropics, and the Southern Hemisphere, particularly at interannual to decadal resolution prior to about A.D. 1200 (e.g., Neukom and Gergis 2011). Furthermore, most records provide estimates for a particular season, making annual estimates and comparisons with other (seasonally different) records problematic (Bradley et al 2003b).…”
mentioning
confidence: 99%
“…The RegEM algorithm is a sophisticated method used in paleoclimate reconstructions (Guiot et al 2010;Mann et al 2008;Wang et al 2014;Neukom et al 2011) to build a transfer function. We used the PPR to locate predictor proxies, which is important for the Asian region, due to its complex topography and heterogeneous climate.…”
Section: Reconstruction Methodsmentioning
confidence: 99%