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Two statistical methods are tested to reconstruct the interannual variations\udin past sea surface temperatures (SSTs) of the North Atlantic (NA) Ocean over\udthe past millennium based on annually resolved and absolutely dated marine\udproxy records of the bivalve mollusk Arctica islandica. The methods\udare tested in a pseudo-proxy experiment (PPE) setup using state-of-the-art\udclimate models (CMIP5 Earth system models) and reanalysis data from the COBE2\udSST data set. The methods were applied in the virtual reality provided by\udglobal climate simulations and reanalysis data to reconstruct the past NA\udSSTs using pseudo-proxy records that mimic the statistical characteristics\udand network of Arctica islandica. The multivariate linear regression\udmethods evaluated here are principal component regression and canonical\udcorrelation analysis. Differences in the skill of the climate field\udreconstruction (CFR) are assessed according to different calibration periods\udand different proxy locations within the NA basin. The choice of the climate\udmodel used as a surrogate reality in the PPE has a more profound effect on the\udCFR skill than the calibration period and the statistical reconstruction\udmethod. The differences between the two methods are clearer for the MPI-ESM\udmodel due to its higher spatial resolution in the NA basin. The pseudo-proxy\udresults of the CCSM4 model are closer to the pseudo-proxy results based on\udthe reanalysis data set COBE2. Conducting PPEs using noise-contaminated\udpseudo-proxies instead of noise-free pseudo-proxies is important for the\udevaluation of the methods, as more spatial differences in the reconstruction\udskill are revealed. Both methods are appropriate for the reconstruction of\udthe temporal evolution of the NA SSTs, even though they lead to a great loss\udof variance away from the proxy sites. Under reasonable assumptions about the\udcharacteristics of the non-climate noise in the proxy records, our results\udshow that the marine network of Arctica islandica can be used to\udskillfully reconstruct the spatial patterns of SSTs at the eastern NA basin

Pseudo-proxy evaluation of climate field reconstruction methods of North Atlantic climate based on an annually resolved marine proxy network