Articles | Volume 16, issue 4
https://doi.org/10.5194/cp-16-1493-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/cp-16-1493-2020
© Author(s) 2020. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
An empirical evaluation of bias correction methods for palaeoclimate simulations
Robert Beyer
CORRESPONDING AUTHOR
Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
Mario Krapp
Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
Andrea Manica
Department of Zoology, University of Cambridge, Downing Street, Cambridge CB2 3EJ, UK
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Latest update: 14 Nov 2024
Short summary
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.
Even the most sophisticated global climate models are known to have significant biases in the...