Uncertainty; Explanation; Swiss context; Simulations; Emergence; Climate decision-making; Climate science; Structural model error; Expert judgement; Epistemology; Confirmation; Climate modelling; Paradigm shift; Epistemic limitations; Climate policy-making; Scientific understanding; Causation; Climate change; Philosophy of science
Jebeile Julie (2020), The Kac Ring or the Art of Making Idealisations, in Foundations of Physics
, 50(10), 1152-1170.
Jebeile Julie, Crucifix Michel (2020), Multi-model ensembles in climate science: Mathematical structures and expert judgements, in Studies in History and Philosophy of Science Part A
, 83, 44-52.
Jebeile Julie, Lam Vincent, Räz Tim (2020), Understanding climate change with statistical downscaling and machine learning, in Synthese
Jebeile Julie (2020), Values and Objectivity in the Intergovernmental Panel on Climate Change, in Social Epistemology
, 34(5), 453-468.
Lam Vincent (2020), Eric Winsberg, Philosophy and Climate Science . Cambridge: Cambridge University Press (2018), 270 pp., $29.99 (paper)., in Philosophy of Science
, 87(2), 376-379.
This research project aims to carefully investigate and clarify the epistemic foundations of climate science using the tools of philosophy of science in order to provide the best possible support for addressing the climate challenge, with particular attention to local, regional climate modelling and decision making at the national level. The project is divided in four interconnected parts. The first part provides a detailed landscape of the epistemic issues related to climate science, with a focus on the degree of expert consensus for each issue. The second part aims to evaluate to what extent certain structural epistemic features of climate models (such as structural instability) may require some sort of paradigm shift in the epistemology of climate science. The third part aims to develop a clear conceptual framework for understanding the explanatory schemes and the relationships between the various (local and global) levels at work in climate science. The fourth part takes regional climate modelling in the Swiss context as a concrete study case.