2014
DOI: 10.1002/wcc.288
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Can we trust climate models?

Abstract: What are the predictions of climate models, should we believe them, and are they falsifiable? Probably the most iconic and influential result arising from climate models is the prediction that, dependent on the rate of increase of CO 2 emissions, global and annual mean temperature will rise by around 2-4 ∘ C over the 21st century. We argue that this result is indeed credible, as are the supplementary predictions that the land will on average warm by around 50% more than the oceans, high latitudes more than the… Show more

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Cited by 26 publications
(22 citation statements)
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“…These large-scale temperature responses, which emerged in the first Intergovernmental Panel on Climate Change (IPCC) assessment 25 years ago, are present in palaeoclimate simulations as well, not only of the LGM and midHolocene [16][17][18] , but also of other intervals such as the last interglaciation 19 and the mid-Pliocene 20,21 . The variations in response are proportional and nearly linear across simulations of both warm (1pctCO2, abrupt4xCO2) and cold (LGM) climate states (Fig.…”
Section: Robust Features Of Past and Future Climatesmentioning
confidence: 99%
“…These large-scale temperature responses, which emerged in the first Intergovernmental Panel on Climate Change (IPCC) assessment 25 years ago, are present in palaeoclimate simulations as well, not only of the LGM and midHolocene [16][17][18] , but also of other intervals such as the last interglaciation 19 and the mid-Pliocene 20,21 . The variations in response are proportional and nearly linear across simulations of both warm (1pctCO2, abrupt4xCO2) and cold (LGM) climate states (Fig.…”
Section: Robust Features Of Past and Future Climatesmentioning
confidence: 99%
“…Furthermore, we do not expect models to be able to reliably simulate spatial anomaly patterns skilfully at the mPWP, since they fail to do this for other time periods of palaeoclimatic interest where sufficient data have been assembled to test this rigorously . We therefore do not think it is meaningful to constrain the models in this case by a small number of irregularly sampled points and prefer to focus on averages over larger spatial scales where we can reasonably expect the models to have some skill (Hargreaves and Annan, 2014).…”
Section: The Datamentioning
confidence: 99%
“…Worries related to calibration and missing feedbacks can also be mitigated by testing model results against data about paleoclimate epochs . Paleoclimate states provide partly independent information not used in model development, and they were driven by forcings quite different from those of modern climate.…”
Section: Non‐deductive Inferences From Empirical Accuracymentioning
confidence: 99%