References »
Calibrating statistical tools: Improving the measure of Humanity's influence on the climate. Studies in History and Philosophy of Science Part A. 2022
Cites (9)
Citations in the corpus, listed by decreasing publication date.
Model Evaluation: An Adequacy-for-Purpose View. Philosophy of Science. 2020
Computer Simulation, Measurement, and Data Assimilation. The British Journal for the Philosophy of Science. 2017
Reanalyses and Observations: What’s the Difference? Bulletin of the American Meteorological Society. 2016
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
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
Comparative Process Tracing and Climate Change Fingerprints. Philosophy of Science. 2010
II—Wendy S. Parker: Confirmation and adequacy-for-Purpose in Climate Modelling. Aristotelian Society Supplementary Volume. 2009
Cited by (1)
Cited by these reference in the corpus, listed by decreasing publication date.