Articles | Volume 11, issue 12
Clim. Past, 11, 1733–1749, 2015
https://doi.org/10.5194/cp-11-1733-2015
Clim. Past, 11, 1733–1749, 2015
https://doi.org/10.5194/cp-11-1733-2015

Research article 18 Dec 2015

Research article | 18 Dec 2015

The influence of non-stationary teleconnections on palaeoclimate reconstructions of ENSO variance using a pseudoproxy framework

R. Batehup et al.

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Cited articles

An, S.-I. and Jin, F.-F.: Nonlinearity and asymmetry of ENSO, J. Climate, 17, 2399–2412, 2004.
Braganza, K., Gergis, J. L., Power, S. B., Risbey, J. S., and Fowler, A. M.: A multiproxy index of the El Niño Southern Oscillation, A.D. 1525–1982, J. Geophys. Res., 114, D05106, https://doi.org/10.1029/2008JD010896, 2009.
Brönnimann, S., Xoplaki, E., Casty, C., Pauling, A., and Luterbacher, J.: ENSO influence on Europe during the last centuries, Clim. Dynam., 28, 181–197, 2006.
Coats, S., Smerdon, J. E., Cook, B. I., and Seager, R.: Stationarity of the tropical pacific teleconnection to North America in CMIP5/PMIP3 model simulations, Geophys. Res. Lett., 40, 4927–4932, 2013.
Cobb, K. M., Westphal, N., Sayani, H. R., Watson, J. T., Di Lorenzo, E., Cheng, H., Edwards, R. L., and Charles, C. D.: Highly variable El Niño-Southern Oscillation throughout the Holocene, Science, 339, 67–70, 2013.
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Short summary
Climate indices of the past are often reconstructed using proxy information from various locations and it is assumed that the relationship between the two does not change over time. As this assumption has been recently questioned, we use a climate model to examine the effect of these changing relationships on the skill of El Nino-Southern Oscillation variance reconstructions. Our study finds that these changes reduce reconstruction skill, while also showing how this impact can be mitigated.