Articles | Volume 16, issue 4
Clim. Past, 16, 1493–1508, 2020
https://doi.org/10.5194/cp-16-1493-2020
Clim. Past, 16, 1493–1508, 2020
https://doi.org/10.5194/cp-16-1493-2020

Research article 11 Aug 2020

Research article | 11 Aug 2020

An empirical evaluation of bias correction methods for palaeoclimate simulations

Robert Beyer et al.

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Clim. Past Discuss., https://doi.org/10.5194/cp-2019-91,https://doi.org/10.5194/cp-2019-91, 2019
Revised manuscript not accepted
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Cited articles

Armstrong, E., Hopcroft, P. O., and Valdes, P. J.: A simulated Northern Hemisphere terrestrial climate dataset for the past 60 000 years, Scientific data, 6, 1–16, 2019. a
Arnell, N. W., Hudson, D., and Jones, R.: Climate change scenarios from a regional climate model: Estimating change in runoff in southern Africa, J. Geophys. Res., 108, 4519, https://doi.org/10.1029/2002JD002782, 2003. a
Beyer, R.: Bias_correction, OSF, https://doi.org/10.17605/OSF.IO/8AXW9, 2020. a
Beyer, R., Krapp, M., Eriksson, A., and Manica, A.: Windows out of Africa: A 300 000-year chronology of climatically plausible human contact with Eurasia, bioRxiv, https://doi.org/10.1101/2020.01.12.901694, 2020. a
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Even the most sophisticated global climate models are known to have significant biases in the way they simulate the climate system. Correcting model biases is therefore essential for creating realistic reconstructions of past climate that can be used, for example, to study long-term ecological dynamics. Here, we evaluated three widely used bias correction methods by means of a global dataset of empirical temperature and precipitation records from the last 125 000 years.