References »
Climate Models, Calibration, and Confirmation. The British Journal for the Philosophy of Science. 2013
A discussion of the problem of double-counting in climate modeling, specifically when the same evidence is used to both calibrate a model and then confirm the adequacy of the results. Steele and Werndl turn to a Baysian approach to argue for a method of incremental confirmation, making double-counting unproblematic. For a response to this argument see Mathias Frisch’s 2015 paper “Predictivism and old evidence: a critical look at climate model tuning”.
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Cited by these reference in the corpus, listed by decreasing publication date.
Diagnosing errors in climate model intercomparisons. European Journal for Philosophy of Science. 2023
Calibrating statistical tools: Improving the measure of Humanity's influence on the climate. Studies in History and Philosophy of Science Part A. 2022
Structural uncertainty through the lens of model building. Synthese. 2020
Parameterization, Reliability & uncertainty, Structural model error
Climate Models: How to Assess Their Reliability. International Studies in the Philosophy of Science. 2019
Confirmation & evaluation, Confirmational holism, Robustness
Building confidence in climate model projections: an analysis of inferences from fit. WIREs Climate Change. 2017
Philosophy of Climate Science Part II: Modelling Climate Change. Philosophy Compass. 2015
Introduction to Assessing climate models: knowledge, values and policy. European Journal for Philosophy of Science. 2015
Predictivism and old evidence: a critical look at climate model tuning. European Journal for Philosophy of Science. 2015
Calibration/tuning, Confirmation & evaluation, Confirmational holism
Predictivism and old evidence: a critical look at climate model tuning. European Journal for Philosophy of Science. 2015
A practical philosophy of complex climate modelling. European Journal for Philosophy of Science. 2014