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11 IMSC Session Program<br />

How good do palaeoclimate reconstructions of last 1000<br />

years need to be to usefully constrain climate model<br />

parameters?<br />

Tuesday - Plenary Session 3<br />

Timothy J. Osborn, Douglas Maraun, Sarah C.B. Raper and Keith R. Briffa<br />

Recent work has used reconstructions of past temperature variability to estimate or<br />

constrain climate model parameters such as climate sensitivity (e.g., Hegerl et al.,<br />

2006) or carbon cycle feedback (Frank et al., 2009). Our study takes a step back and<br />

uses synthetic data, constructed using output from climate model simulations, to<br />

explore how the potential constraints on climate model parameters depend on the<br />

uncertainty associated with temperature reconstructions. We also consider the<br />

influences of internally-generated climate variability, which tends to mask the<br />

response to external climate forcings, and of the uncertainty associated with past<br />

climate forcings. The results are likely to be optimistic compared with our ability to<br />

constrain equivalent parameters of the real climate system, because the experimental<br />

design makes a number of assumptions about prior knowledge of the synthetic<br />

climate, though the influence of these assumptions can be quantified.<br />

Synthetic temperature reconstructions were generated by combining a simulation of<br />

externally-forced climate change (produced using an energy balance climate model)<br />

with several hundred realizations of internal climate variability (diagnosed from a<br />

multi-century control simulation with a GCM-based climate model). An iterative<br />

optimisation algorithm, involving thousands of simulations with the energy balance<br />

climate model, was adopted to obtain a maximum-likelihood estimate of unknown<br />

model parameters (climate sensitivity and parameters that determine the timescaledependence<br />

of ocean effective heat capacity). The approach was also extended to<br />

estimate the amplitudes of past forcings to explore the relative importance of accurate<br />

temperature reconstructions and uncertainty in estimates of climate forcings.<br />

These experiments reveal a range of results: (i) climate reconstructions for the preinstrumental<br />

period have the potential to provide additional constraints upon climate<br />

model parameters (and hence future climate predictions) but this potential is limited<br />

by the need for accurate estimates of past forcing factors; (ii) the response to past<br />

volcanic eruptions appears to provide some constraint upon the lower values of<br />

climate sensitivity, but less so for the higher values; (iii) observing the response to<br />

forcings that operate across multiple time scales (e.g., volcanic and solar variations<br />

together) is necessary if both the climate sensitivity and ocean heat uptake need to be<br />

estimated, especially if the strengths of the forcings are also uncertain.<br />

Abstracts 88

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