Abstract
C data indicate that the Atlantic Meridional Overturning Circulation (AMOC) during the LGM may not have been significantly different from today. Another presentation highlighted that in model simulations of the LGM, ocean circulation requires thousands of years to equilibrate. This raised the issue of whether the LGM (or in fact any time interval) can be considered to ever be in an equilibrium state, either for models or data reconstructions. Although radiocarbon is perhaps the most direct proxy for deep ocean circulation, independent dating is needed to allow its interpretation as a circulation tracer. The assumption of constant surface reservoir ages made in many previous studies may in some cases not be true, at least during the deglaciation. Nevertheless, new radiocarbon data from the North pand Southern Ocean advance our understanding of deep ocean circulation changes during the LGM and deglacial intervals.
Highlights
More than 40 scientists met in Corvallis, Oregon, to discuss how ocean data can be better used to evaluate results from the Paleoclimate Model Intercomparison Project (PMIP)
Inverse model solutions using δ13C data indicate that the Atlantic Meridional Overturning Circulation (AMOC) during the Last Glacial Maximum (LGM) may not have been significantly different from today
New radiocarbon data from the North Pacific and Southern Ocean advance our understanding of deep ocean circulation changes during the LGM and deglacial intervals
Summary
More than 40 scientists met in Corvallis, Oregon, to discuss how ocean data can be better used to evaluate results from the Paleoclimate Model Intercomparison Project (PMIP). Talks and discussions during the first day focused on methods of model-data comparison (Fig. 1), quantifying uncertainty and ocean temperature reconstructions, from the tropics (including a report from a one-day preluding workshop on tropical sea-surface temperatures). Systematic differences between various proxies (e.g. alkenones, Mg/ Ca, TEX86, foraminifera faunal assemblages) were diagnosed and new methods of quantifying uncertainties and forward modeling of individual foraminifera species were presented.
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