References »
Diagnosing errors in climate model intercomparisons. European Journal for Philosophy of Science. 2023
Cites (24)
Citations in the corpus, listed by decreasing publication date.
When is an ensemble like a sample? “Model-based” inferences in climate modeling. Synthese. 2022
Model spread and progress in climate modelling. European Journal for Philosophy of Science. 2021
Two Exploratory Uses for General Circulation Models in Climate Science. Perspectives on Science. 2021
Robustness reasoning in climate model comparisons. Studies in History and Philosophy of Science Part A. 2021
Multi-model ensembles in climate science: Mathematical structures and expert judgements. Studies in History and Philosophy of Science Part A. 2020
The Coupled Model Intercomparison Project: History, uses, and structural effects on climate research. WIREs Climate Change. 2020
Climate Models: How to Assess Their Reliability. International Studies in the Philosophy of Science. 2019
Confirmation & evaluation, Confirmational holism, Robustness
What does robustness teach us in climate science: a re-appraisal. Synthese. 2018
Confirmation & evaluation, Ensemble methods, Robustness, Values
The Significance of Robust Climate Projections. In Climate Modelling. 2018
Confirmation & evaluation, Ensemble methods, Reliability & uncertainty, Robustness, Robustness
Climate Model Confirmation: From Philosophy to Predicting Climate in the Real World. In Lloyd, Elisabeth A., Winsberg, Eric (eds.) Climate Modelling. 2018
Practice and philosophy of climate model tuning across six US modeling centers. Geoscientific Model Development. 2017
Calibration/tuning, Confirmation & evaluation, Ensemble methods
The Art and Science of Climate Model Tuning. Bulletin of the American Meteorological Society. 2017
Calibration/tuning, Confirmation & evaluation, Parameterization
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
Global Climate Modeling as Applied Science. Journal for General 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
Model robustness as a confirmatory virtue: The case of climate science. Studies in History and Philosophy of Science Part A. 2015
A practical philosophy of complex climate modelling. European Journal for Philosophy of Science. 2014
Climate Models, Calibration, and Confirmation. The British Journal for the Philosophy of Science. 2013
Calibration/tuning, Confirmation & evaluation
Full textCitesCited byNote
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”.
The role of ‘complex’ empiricism in the debates about satellite data and climate models. Studies in History and Philosophy of Science Part A. 2012
When Climate Models Agree: The Significance of Robust Model Predictions*. Philosophy of Science. 2011
Confirmation & evaluation, Ensemble methods, Robustness, Values
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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