Articles | Volume 17, issue 1
Clim. Past, 17, 545–563, 2021
https://doi.org/10.5194/cp-17-545-2021
Clim. Past, 17, 545–563, 2021
https://doi.org/10.5194/cp-17-545-2021

Technical note 02 Mar 2021

Technical note | 02 Mar 2021

Technical note: Characterising and comparing different palaeoclimates with dynamical systems theory

Gabriele Messori and Davide Faranda

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Cited articles

Barron, E. J., Sloan II, J., and Harrison, C.: Potential significance of land–sea distribution and surface albedo variations as a climatic forcing factor; 180 my to the present, Palaeogeogr. Palaeoclim. Palaeoecol., 30, 17–40, 1980. a
Braconnot, P., Harrison, S., Otto‐Bliesner, B., Abe‐Ouchi, A., Jungclaus, J., and Peterschmitt, J.: The paleoclimate modeling Intercomparison project contribution to CMIP5, CLIVAR Exchanges, 56, 15–19, 2011. a
Brunetti, M., Kasparian, J., and Vérard, C.: Co-existing climate attractors in a coupled aquaplanet, Clim. Dyn., 53, 6293–6308, 2019. a, b
Brunsell, N.: A multiscale information theory approach to assess spatial–temporal variability of daily precipitation, J. Hydrol., 385, 165–172, 2010. a
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Short summary
The palaeoclimate community must both analyse large amounts of model data and compare very different climates. Here, we present a seemingly very abstract analysis approach that may be fruitfully applied to palaeoclimate numerical simulations. This approach characterises the dynamics of a given climate through a small number of metrics and is thus suited to face the above challenges.