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https://www.selleckchem.com/products/sivelestat-sodium.html Projections of future climate change cannot rely on a single model. It has become common to rely on multiple simulations generated by Multi-Model Ensembles (MMEs), especially to quantify the uncertainty about what would constitute an adequate model structure. But, as Parker points out (2018), one of the remaining philosophically interesting questions is "How can ensemble studies be designed so that they probe uncertainty in desired ways?" This paper offers two interpretations of what General Circulation Models (GCMs) are and how MMEs made of GCMs should be designed. In the first interpretation, models are combinations of modules and parameterisations; an MME is obtained by "plugging and playing" with interchangeable modules and parameterisations. In the second interpretation, models are aggregations of expert judgements that result from a history of epistemic decisions made by scientists about the choice of representations; an MME is a sampling of expert judgements from modelling teams. We argue that, while the two interpretations involve distinct domains from philosophy of science and social epistemology, they both could be used in a complementary manner in order to explore ways of designing better MMEs.Philosophical discussions of disagreement typically focus on cases in which the disagreeing agents are aware that they are disagreeing and can pinpoint the proposition that they are disagreeing about. Scientific disagreements are not, in general, like this. Here we consider several case studies of disagreements that do not concern first-order factual claims about the scientific domain in question, but rather boil down to disputes regarding methodology. In such cases, it is often difficult to identify the point of contention in the dispute. Philosophers of science have a useful role to play in pinpointing the source of such disagreements, but must resist the temptation to trace scientific debates to disputes

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