References »
Understanding climate change with statistical downscaling and machine learning. Synthese. 2020
Machine Learning, Regional climate modelling, Understanding & explanation
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Citations in the corpus, listed by decreasing publication date.
Can Machines Learn How Clouds Work? The Epistemic Implications of Machine Learning Methods in Climate Science. Philosophy of Science. 2021
Understanding climate phenomena with data-driven models. Studies in History and Philosophy of Science Part A. 2020
Model Evaluation: An Adequacy-for-Purpose View. Philosophy of Science. 2020
Explicating Objectual Understanding: Taking Degrees Seriously. Journal for General Philosophy of Science. 2019
Climate Model Confirmation: From Philosophy to Predicting Climate in the Real World. In Lloyd, Elisabeth A., Winsberg, Eric (eds.) Climate Modelling. 2018
Building confidence in climate model projections: an analysis of inferences from fit. WIREs Climate Change. 2017
Simulation and Understanding in the Study of Weather and Climate. Perspectives on Science. 2014
Holism, entrenchment, and the future of climate model pluralism. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2010
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Cited by these reference in the corpus, listed by decreasing publication date.