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11 IMSC Session Program<br />

Mechanistic modeling of proxy data for Bayesian climate<br />

reconstructions<br />

Monday - Parallel Session 3<br />

Susan E. Tolwinski-Ward, Michael N. Evans, Malcolm K. Hughes and Kevin J.<br />

Anchukaitis<br />

Paleoclimate reconstructions may benefit from the inclusion of information on the<br />

mechanisms that form climate proxy data{ signatures of past climate variability<br />

imprinted on natural archives through biological, physical or chemical processes. We<br />

present a simple forward model of tree ring width formation, called VS-Lite, which is<br />

efficient enough to be integrated into Bayesian climate reconstructions. VS-Lite runs<br />

on monthly temperature and precipitation inputs, and accounts for the nonlinear<br />

inuences of temperature and moisture availability on annual growth through the<br />

principle that the more limiting factor will control the proxy response. The model<br />

simulates two networks of North American ring width chronologies with comparable<br />

or better skill than regression of the proxy series on the principal components of<br />

monthly climate data. VS-Lite also performs more consistently with its calibrationinterval<br />

skill in verification exercises.<br />

In an analogue of classical pseudoproxy climate field reconstructions, we also<br />

evaluate the results of a Bayesian hierarchical modeling experiment that conditions<br />

past climate on synthetic tree-ring series. The target variables are the known<br />

temperature and precipitation fields generated by a General Circulation Model. VS-<br />

Lite generates the \observed" ring width data from the target fields, and also relates<br />

past climates to these proxy series at the data level of the Bayesian hierarchy. We<br />

compare our results to those from a more standard approach based on extrapolation of<br />

statistical- empirical climate-ring width relationships.<br />

Abstracts 74

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