Resolving Age Model Errors in U-series Dating of Stalagmites from Borneo Stacy Carolin Georgia Institute of Tech. April 28, 2011.

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Resolving Age Model Errors in U-series Dating of Stalagmites from Borneo Stacy Carolin Georgia Institute of Tech. April 28, 2011

Evidence for Abrupt Climate Change North Greenland Ice Core Project (ice core record - proxy for temp.) North Greenland Ice Core Project Members, 2004 Imbrie et al., 1984 Mapping Spectral Variability in Global Climate Project (composite record of ocean marine sediments – proxy for ice volume)

Collecting Samples

Determining Age of Sample Finnigan Neptune MC-ICP-MS Uranium batch: 234 U, 235 U, 236 U, 238 U Thorium batch: 229 Th, 230 Th, 232 Th 250 mg powder samples:

U-Series Disequilibrium Dating 238 U 4,468,000,000 yrs 234 Pa 1.2 mins 234 Th 24 days 234 U 245,300 yrs 230 Th 75,690 yrs 206 Pb

How to Determine Age Error? Monte Carlo Simulation Steps to Calculate Error: Calculate Age for each set of isotopes Simulate 1000 data points for each isotope measured (normally distributed) based on the analytical error Dist = randn(1000,1).* Err; Dist = Dist + Measd; Calculate 1000 Simulated Ages for each simulation set of isotopes Check that Simulated Ages are normally distributed Calculate age errors Age error = Age ± 2* St. Dev(Simulated Ages)

How to Determine Age Error? Age (in kyr BP) of 6 Stalagmite Samples of Interest

How to Determine Age Error? 10 ky 20 ky 30 ky 40 ky50 ky60 ky70 ky80 ky90 ky 100 ky

How to Determine Age Error? 5,500 yrBP 81,000 yrBP 12,500 yrBP 94,000 yrBP 41,000 yrBP 44,000 yrBP X-axis: 230 U/ 238 U Activity Y-axis: δ 234 U measured

What Next? Correct for the amount of initial non-radiogenic daughter isotope in the sample ( 230 Th) Requires the initial ratio of 230 Th/ 232 Th of the stalagmite to be known Analyze 3 or more samples of the same age with variable 232 Th content Calculate a least-squares regression of the data on a pair of isotope ratio diagrams that completely define the 238 U- 234 U- 230 Th- 232 Th system Use a procedure that weighs analytical errors and error correlations of the individual data points (Ludwig and Titterington, 1994)