2019
DOI: 10.1007/s41748-019-00093-1
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What can Palaeoclimate Modelling do for you?

Abstract: In modern environmental and climate science it is necessary to assimilate observational datasets collected over decades with outputs from numerical models, to enable a full understanding of natural systems and their sensitivities. During the twentieth and twenty-first centuries, numerical modelling became central to many areas of science from the Bohr model of the atom to the Lorenz model of the atmosphere. In modern science, a great deal of time and effort is devoted to developing, evaluating, comparing and m… Show more

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Cited by 62 publications
(38 citation statements)
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“…Although numerous interdisciplinary studies can be triggered by efficient climate modelling at the frontier of geology, climatology and biology (see e.g. Haywood et al (2019) for a synthesis), the question of the stability of biases with radically different…”
Section: Discussionmentioning
confidence: 99%
“…Although numerous interdisciplinary studies can be triggered by efficient climate modelling at the frontier of geology, climatology and biology (see e.g. Haywood et al (2019) for a synthesis), the question of the stability of biases with radically different…”
Section: Discussionmentioning
confidence: 99%
“…The models are clearly unrivaled in their ability to simulate a broad range of large‐scale phenomena on seasonal to decadal time scales (Flato et al, 2013). However, the reliability of models to simulate climate variability on multidecadal and longer time scales requires additional evaluation (Haywood et al, 2019). Climate records derived from paleoenvironmental parameters facilitate the testing of models out of the “comfort zone of present‐day climate,” or, in other words, one application of paleoclimate is to validate state‐of‐the‐art coupled climate models for past time slices and past climate transitions.…”
Section: Introductionmentioning
confidence: 99%
“…Despite good agreement in simulating modern and preindustrial (PI) climate, Earth system models (ESMs) diverge in predicting many fundamental aspects of future climate change, including the transient melting behavior of the Arctic sea ice (Stroeve et al, 2012), Arctic feedbacks (Pithan & Mauritsen, 2014), changes in equatorial Pacific sea surface temperature (SST) pattern (Coats & Karnauskas, 2017;Seager et al, 2019;Vecchi & Soden, 2007), and changes in subtropical precipitation (Collins et al, 2013), among many others. Paleo-observations can provide independent out-of-sample data to help constrain these uncertainties (Haywood et al, 2019). To this end, Pliocene Model Intercomparison Project (PlioMIP) (Haywood et al, 2010(Haywood et al, , 2015 and Pliocene Research, Interpretation and Synoptic Mapping Project (PRISM) (Dowsett et al, 2013(Dowsett et al, , 2010(Dowsett et al, , 2016 have been carried out with separate focuses on paleoclimate modeling and paleo-observational data synthesis.…”
Section: Introductionmentioning
confidence: 99%