2010
DOI: 10.1016/j.quageo.2009.12.001
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In situ cosmogenic 10Be production-rate calibration from the Southern Alps, New Zealand

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Cited by 249 publications
(268 citation statements)
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“…Further, the independent control on the calibration age vary from tightly clustered minimum and maximum radiocarbon ages to correlation to climate proxies, yielding production rates of varying reliability. However, the updated global production rates have a tighter clustering and are 9-11 % lower than the global CRONUS production rates (Balco et al, 2008) in agreement with recent lower 10 Be production rates (Balco et al, 2009;Putnam et al, 2010;Fenton et al, 2011;Kaplan et al, 2011;Briner et al, 2012;Goehring et al, 2012;Ballantyne and Stone, 2012;Young et al, 2013;Kelly et al, in press). Using the CRONUS calculator code for exposure age calculations, the global production rate uncertainties are taken to reflect a combined uncertainty from the individual site uncertainties as well as spatial and temporal production rate scaling, and they are used to derive the external exposure age uncertainty (Balco et al, 2008).…”
Section: An Updated Global 10supporting
confidence: 72%
See 1 more Smart Citation
“…Further, the independent control on the calibration age vary from tightly clustered minimum and maximum radiocarbon ages to correlation to climate proxies, yielding production rates of varying reliability. However, the updated global production rates have a tighter clustering and are 9-11 % lower than the global CRONUS production rates (Balco et al, 2008) in agreement with recent lower 10 Be production rates (Balco et al, 2009;Putnam et al, 2010;Fenton et al, 2011;Kaplan et al, 2011;Briner et al, 2012;Goehring et al, 2012;Ballantyne and Stone, 2012;Young et al, 2013;Kelly et al, in press). Using the CRONUS calculator code for exposure age calculations, the global production rate uncertainties are taken to reflect a combined uncertainty from the individual site uncertainties as well as spatial and temporal production rate scaling, and they are used to derive the external exposure age uncertainty (Balco et al, 2008).…”
Section: An Updated Global 10supporting
confidence: 72%
“…Several recent 10 Be production rate calibration studies have indicated that the reference 10 Be production rate used in the CRONUS online calculator is a bit too high (Balco et al, 2009;Putnam et al, 2010;Fenton et al, 2011;Kaplan et al, 2011;Briner et al, 2012;Goehring et al, 2012;Ballantyne and Stone, 2012;Young et al, 2013;Kelly et al, in press). To calculate an updated production rate the reference 10 Be production rate of the CRONUS online calibration sites (Nishiizumi et al, 1989;Gosse et al, 1995;Larsen, 1996;Stone et al, 1998;Kubik and Ivy-Ochs, 2004;Farber et al, 2005) as well sites in recent calibration studies have been recalibrated (Fig.…”
Section: An Updated Global 10mentioning
confidence: 99%
“…Cobb Valley -41 173 12 (9) (Shulmeister et al, 2005) Taramakau -43 171/172 34 (29) (Barrows et al, 2013) Arthur's Pass -43 172 5 (4) (Ivy-Ochs et al, 1999) Waimakariri -43 172 31 (29) (Rother et al, 2015) Rakaia Valley -43/-44 171/172 55 (46) (Shulmeister et al, 2010;Putnam et al, 2013a) Cameron glacier -43 171 10 (10) (Putnam et al, 2012) Franz Josef -43/-44 170 6 (6) (Barrows et al, 2007b) Rangitata Valley -43/-44 171 56 (51) (Rother et al, 2014) Pukaki -44 170/171 169 (159) (Schaefer et al, 2006;Putnam et al, 2010a;Kelley et al, 2014;Doughty et al, 2015;Schaefer et al, 2015) Ohau -44 170 91 (84) (Kaplan et al, 2013;Putnam et al, 2013b) Irishman Stream -44 170 33 (31) Cascade Plateau -44 168 19 (14) (Sutherland et al, 2007) Boundary Stream Tarn -44 170 10 (10) (Putnam et al, 2010b) Total within Last Glacial Cycle 531 (482) 37 Table 2. The timing of culminations in glacial advances identified from relative cumulative 4 probability density functions for New Zealand and Patagonia using the New Zealand 5 production rate of , and using the Patagonian production rate (PPR) of 6 Kaplan et al (2011) for Patagonia.…”
Section: New Zealandmentioning
confidence: 99%
“…Table 1), shown against the Marine Isotope Stages from and the gLGM from Clark et al (2009). (A and C) For Patagonia and New Zealand, respectively: all 10 Be exposure ages within 110-10 ka, including author-identified outliers, as mean ages with standard errors recalculated using the Putnam et al (2010b) production rate, with no erosion rate applied. The exposure ages are colour-coded according to the glacial system from which they are derived, and associated references can be found in Table 1.…”
Section: New Zealandmentioning
confidence: 99%
“…Ensuring that sample performance matches standard performance 16 during AMS analysis likely increases the accuracy of sample measurements, a prerequisite for 17 accurate determination of dates and rates across a variety of applications. Increasing the 18 precision of analyses enhances not only the interpretations that can be made from dates and rates, 19 but also enables approaches involving multiple isotopic systems such as burial dating (Granger 20 and Muzikar, 2001) and burial isochron dating (Balco and Rovey, 2008), and allows for 21 improved calibration of cosmogenic nuclide production rates (Balco et al, 2009;Borchers et al, 22 2015; Briner et al, 2012;Putnam et al, 2010). Very low concentration samples, such as those 23 from young exposures (Licciardi et al, 2009), rapidly eroding landscapes (Portenga et al, 2015), 1 or long-buried sediments (Erlanger et al, 2012;Gibbon et al, 2014), require low detection limits 2 to be measurable above background levels.…”
mentioning
confidence: 99%