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11 IMSC Session Program<br />

Calibrating pseudoproxies<br />

Tuesday - Poster Session 3<br />

Peter Green<br />

The performance of a palaeoclimate reconstruction method can be tested in a<br />

pseudoproxy experiment. The method is used to reconstruct a model climate from<br />

simulated proxies, and then the result can be compared to the known target.<br />

The results of these experiments depend on the properties of these pseudoproxies; a<br />

higher signal to noise ratio will result in a better score for the reconstruction, or a<br />

more complicated noise structure will result in a lower score. In order to get an<br />

accurate assessment of the relative strengths and weaknesses of the various methods it<br />

is important that the properties of the pseudoproxies are as realistic as possible. But to<br />

facilitate interpretation the proxy model should also be as simple as possible.<br />

Many pseudoproxy models add random errors – often either independent normal or<br />

AR(1) errors – to a gridbox temperature series. A pseudoproxy may record<br />

temperature information via a number of climate variables, and so the total climate<br />

signal in a proxy record may be significantly underestimated if we limit the<br />

pseudoproxy’s climate signal to a single gridbox temperature.<br />

In fact ‘temperature plus noise’ pseudoproxies, with realistic correlations between the<br />

proxy and the local temperature, produce pseudo-reconstructions with unrealistically<br />

low calibration and validation performance. This suggests that more climate<br />

information needs to be included in pseudoproxy models.<br />

Abstracts 96

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