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We test the performance of proxy‐based climate field reconstruction methods using sets of synthetic proxy climate indicators. ‘Pseudoproxies’ are constructed through the degradation of instrumental surface temperature data by additive noise with variable statistical properties. Experiments are performed using pseudoproxy networks of varying spatial and seasonal representation and with varying noise attributes. Implications for sampling strategies for improved paleoclimate reconstructions are discussed.
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