Articles | Volume 11, issue 3
https://doi.org/10.5194/essd-11-1129-2019
https://doi.org/10.5194/essd-11-1129-2019
01 Aug 2019
 | 01 Aug 2019

Simple noise estimates and pseudoproxies for the last 21 000 years

Oliver Bothe, Sebastian Wagner, and Eduardo Zorita

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Cited articles

Anchukaitis, K. J. and Tierney, J. E.: Identifying coherent spatiotemporal modes in time-uncertain proxy paleoclimate records, Clim. Dynam., 41, 1291–1306, https://doi.org/10.1007/s00382-012-1483-0, 2013. a
Annan, J. D. and Hargreaves, J. C.: A new global reconstruction of temperature changes at the Last Glacial Maximum, Clim. Past, 9, 367–376, https://doi.org/10.5194/cp-9-367-2013, 2013. a
Blaauw, M. and Christen, J. A.: Flexible paleoclimate age-depth models using an autoregressive gamma process, Bayesian Anal., 6, 457–474, https://doi.org/10.1214/ba/1339616472, 2011. a, b, c
Boers, N., Goswami, B., and Ghil, M.: A complete representation of uncertainties in layer-counted paleoclimatic archives, Clim. Past, 13, 1169–1180, https://doi.org/10.5194/cp-13-1169-2017, 2017. a, b, c
Bothe, O., Wagner, S., and Zorita, E.: Simple noise estimates and pseudoproxies for the last 21k years, https://doi.org/10.17605/OSF.IO/ZBEHX, 2018. a, b, c
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Short summary
Reconstructions try to extract a climate signal from paleo-observations. It is essential to understand their uncertainties. Similarly, comparing climate simulations and paleo-observations requires approaches to address their uncertainties. We describe a simple but flexible noise model for climate proxies for temperature on millennial timescales, which can assist these goals.
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