The uncertainties inherent in different forms of climate data must be well-understood. This is particularly challenging for palaeoclimate data, since uncertainties are often large and varied.Uncertainties in the available proxy-based data include measurement errors, sampling uncertainty, calibration uncertainty, age uncertainty and spatial uncertainty. Relevant statistical methodology includes Bayesian methods, data fusion, study of error propagation through the data preparation process and transfer functions, and reliability of confidence intervals and standard errors.
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