This work was supported by the Danish Climate Centre at the Danish Meteorological Institute. I would like to thank Matthew Schofield, University of Otago, for directing me to the older literature about calibration.
Christiansen, B., 2000: A model study of the dynamical connection between the Arctic Oscillation and stratospheric vacillations. J. Geophys. Res., 105, 29 461–29 474.
Christiansen, B., 2011: Reconstructing the NH mean temperature: Can underestimation of trends and variability be avoided? J. Climate, 24, 674–692.
Christiansen, B., , and F. C. Ljungqvist, 2011: Reconstruction of the extratropical NH mean temperature over the last millennium with a method that preserves low-frequency variability. J. Climate, 24, 6013–6034.
Christiansen, B., , T. Schmith, , and P. Thejll, 2009: A surrogate ensemble study of climate reconstruction methods: Stochasticity and robustness. J. Climate, 22, 951–976.
Christiansen, B., , T. Schmith, , and P. Thejll, 2010b: A surrogate ensemble study of sea level reconstructions. J. Climate, 23, 4306–4326.
Li, B., , W. D. Nychka, , and C. M. Ammann, 2010: The value of multiproxy reconstruction of past climate. J. Amer. Stat. Assoc., 105, 883–895.
Shukla, G. K., , and P. Datta, 1985: Comparison of the inverse estimator with the classical estimator subject to a preliminary test in linear calibration. J. Stat. Plann. Inference, 12, 93–102.
Tingley, M. P., , and P. Huybers, 2010: A Bayesian algorithm for reconstructing climate anomalies in space and time. Part I: Development and applications to paleoclimate reconstruction problems. J. Climate, 23, 2759–2781.
Tingley, M. P., , and B. Li, 2012: Comments on “Reconstructing the NH mean temperature: Can underestimation of trends and variability be avoided?” J. Climate, 25, 3441–3446.
Tingley, M. P., , P. F. Craigmile, , M. Haran, , B. Li, , E. Mannshardt-Shamseldin, , and B. Rajaratnam, 2012: Piecing together the past: Statistical insights into paleoclimatic reconstructions. Quat. Sci. Rev., 35, 1–22.