Clim. Past, 17, 545–563, 2021 https://doi.org/10.5194/cp-17-545-2021 © Author(s) 2021. This work is distributed under the Creative Commons Attribution 4.0 License. Technical note: Characterising and comparing different palaeoclimates with dynamical systems theory Gabriele Messori1,2,3,4 and Davide Faranda5,6,7 1Department of Earth Sciences, Uppsala University, Uppsala, Sweden 2Centre of Natural Hazards and Disaster Science (CNDS), Uppsala University, Uppsala, Sweden 3Department of Meteorology, Stockholm University, Stockholm, Sweden 4Bolin Centre for Climate Research, Stockholm University, Stockholm, Sweden 5Laboratoire des Sciences du Climat et de l’Environnement, LSCE/IPSL, CEA-CNRS-UVSQ, Université Paris-Saclay, Gif-sur-Yvette, France 6London Mathematical Laboratory, London, UK 7LMD/IPSL, Ecole Normale Superieure, PSL research University, Paris, France Correspondence: Gabriele Messori (
[email protected]) Received: 30 July 2020 – Discussion started: 27 August 2020 Revised: 7 January 2021 – Accepted: 10 January 2021 – Published: 2 March 2021 Abstract. Numerical climate simulations produce vast At the same time, an appraisal of the framework’s limitations amounts of high-resolution data. This poses new challenges suggests that it should be viewed as a complement to more to the palaeoclimate community – and indeed to the broader conventional analyses, rather than as a wholesale substitute. climate community – in how to efficiently process and inter- pret model output. The palaeoclimate community also faces the additional challenge of having to characterise and com- 1 Motivation pare a much broader range of climates than encountered in other subfields of climate science. Here we propose an analy- Numerical climate models have enjoyed widespread use sis framework, grounded in dynamical systems theory, which in palaeoclimate studies, from early investigations based may contribute to overcoming these challenges.