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Steven J. Phipps, Helen V. McGregor, Joëlle Gergis, Ailie J. E. Gallant, Raphael Neukom, Samantha Stevenson, Duncan Ackerley, Josephine R. Brown, Matt J. Fischer, and Tas D. van Ommen

establish an empirical relationship. Statistical techniques such as linear regression are used to calibrate a proxy variable at a particular location against local or remote climatic variables. Examples include the calibration of coral Sr/Ca and δ 18 O against local sea surface temperature (e.g., Corrège 2006 ) or the calibration of ice core accumulation in Antarctica against precipitation in southwest Western Australia ( van Ommen and Morgan 2010 ). Multiproxy networks comprise data from multiple

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B. Timbal and R. Fawcett

high-resolution monthly rainfall analyses ( Jones et al. 2009 ), generated as part of the Australian Water Availability Project. These analyses are at 0.05° × 0.05° resolution, or approximately 5 km × 5 km. The analysis methodology employed in these analyses is a hybrid one, merging two-dimensional Barnes successive correction analyses ( Jones and Weymouth 1997 ) of fractions of monthly mean rainfall and three-dimensional thin-plate smoothing spline analyses ( Hutchinson 1995 ) of climatological

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Ailie J. E. Gallant, Steven J. Phipps, David J. Karoly, A. Brett Mullan, and Andrew M. Lorrey

then regressed against precipitation across the same domain, producing a precipitation reconstruction spanning AD 1631–2005. The second Australasian proxy record was the Agathis australis (kauri) tree-ring master chronology, generated from 196 trees at 14 sites in the northwest of the North Island of New Zealand ( Fowler et al. 2008 ). Nonclimatic trends were removed using a 200-yr spline. The kauri tree-ring width is responsive to local temperature and precipitation ( Buckley et al. 2000 ) but

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