Katie Steele
Australian National University
Charlotte Werndl
University of Salzburg
Charlotte Sophie Werndl
London School of Economics
We argue that concerns about double-counting—using the same evidence both to calibrate or tune climate models and also to confirm or verify that the models are adequate—deserve more careful scrutiny in climate modelling circles. It is widely held that double-counting is bad and that separate data must be used for calibration and confirmation. We show that this is far from obviously true, and that climate scientists may be confusing their targets. Our analysis turns on a Bayesian/relative-likelihood approach to incremental confirmation. According to this approach, double-counting is entirely proper. We go on to discuss plausible difficulties with calibrating climate models, and we distinguish more and less ambitious notions of confirmation. Strong claims of confirmation may not, in many cases, be warranted, but it would be a mistake to regard double-counting as the culprit. 1 Introduction2 Remarks about Models and Adequacy-for-Purpose3 Evidence for Calibration Can Also Yield Comparative Confirmation3.1 Double-counting I3.2 Double-counting II4 Climate Science Examples: Comparative Confirmation in Practice4.1 Confirmation due to better and worse best fits4.2 Confirmation due to more and less plausible forcings values5 Old Evidence6 Doubts about the Relevance of Past Data7 Non-comparative Confirmation and Catch-Alls8 Climate Science Example: Non-comparative Confirmation and Catch-Alls in Practice9 Concluding Remarks
Keywords double-counting  climate models  confirmation  calibration
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Reprint years 2013
DOI 10.1093/bjps/axs036
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References found in this work BETA

Prediction Versus Accommodation and the Risk of Overfitting.Christopher Hitchcock & Elliott Sober - 2004 - British Journal for the Philosophy of Science 55 (1):1-34.
II—Wendy S. Parker: Confirmation and Adequacy-for-Purpose in Climate Modelling.Wendy S. Parker - 2009 - Aristotelian Society Supplementary Volume 83 (1):233-249.
Measuring Confirmation and Evidence.Ellery Eells & Branden Fitelson - 2000 - Journal of Philosophy 97 (12):663-672.
II—C Onfirmation and A Dequacy-for-P Urpose in C Limate M Odelling.Wendys Parker - 2009 - Aristotelian Society Supplementary Volume 83 (1):233-249.

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Citations of this work BETA

Computer Simulations and Experiments: The Case of the Higgs Boson.Michela Massimi & Wahid Bhimji - 2015 - Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics 51:71-81.
The Argument From Surprise.Adrian Currie - 2018 - Canadian Journal of Philosophy 48 (5):639-661.
Calibration: Modelling the Measurement Process.Eran Tal - 2017 - Studies in History and Philosophy of Science Part A 65:33-45.
Predictivism and Old Evidence: A Critical Look at Climate Model Tuning.Mathias Frisch - 2015 - European Journal for Philosophy of Science 5 (2):171-190.

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