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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
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
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
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
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
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
