References »
Structural uncertainty through the lens of model building. Synthese. 2020
Parameterization, Reliability & uncertainty, Structural model error
Cites (16)
Citations in the corpus, listed by decreasing publication date.
Initial-Condition Dependence and Initial-Condition Uncertainty in Climate Science. The British Journal for the Philosophy of Science. 2019
Hawkmoth effect, Reliability & uncertainty, Theoretical foundations
Full textCitesCited byNote
An outline of predictions and projections in climate science through the lens of initial-condition dependence and initial-condition uncertainty. During the discussion of uncertainty, Werndl outlines two types which had not been discussed to much extent in the philosophical community. This new insight leads to many conclusions throughout the entirety of the paper.
Model-Selection Theory: The Need for a More Nuanced Picture of Use-Novelty and Double-Counting. The British Journal for the Philosophy of Science. 2018
Calibration/tuning, Confirmation & evaluation
Full textCitesCited byNote
A discussion regarding double-counting in climate modeling, arguing that the use-novel intuition largely held in the scientific community, that data used in tuning cannot be used in confirmation, is too crude. Steele and Werndl maintain that the prominent logics of confirmation do not, for varying reasons, support this intuitive position in full.
False precision, surprise and improved uncertainty assessment. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2015
An assessment of the foundational assumptions in high-resolution climate projections: the case of UKCP09. Synthese. 2015
The epistemology of climate models and some of its implications for climate science and the philosophy of science. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2014
Confirmation & evaluation, Probability & possibility, Reliability & uncertainty
Laplace’s Demon and the Adventures of His Apprentices. Philosophy of Science. 2014
The Myopia of Imperfect Climate Models: The Case of UKCP09. Philosophy of Science. 2013
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”.
Uncertainty in science and its role in climate policy. Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2011
Communication of uncertainties, Decision-making, Reliability & uncertainty
When Climate Models Agree: The Significance of Robust Model Predictions*. Philosophy of Science. 2011
Confirmation & evaluation, Ensemble methods, Robustness, Values
Predicting weather and climate: Uncertainty, ensembles and probability. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2010
Ensemble methods, Probability & possibility, Reliability & uncertainty
II—Wendy S. Parker: Confirmation and adequacy-for-Purpose in Climate Modelling. Aristotelian Society Supplementary Volume. 2009
I—Elisabeth A. Lloyd: Varieties of Support and Confirmation of Climate Models. Aristotelian Society Supplementary Volume. 2009
Should we believe model predictions of future climate change? Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2008
Irreducible imprecision in atmospheric and oceanic simulations. Proceedings of the National Academy of Sciences. 2007
Understanding Pluralism in Climate Modeling. Foundations of Science. 2006
Confirmation & evaluation, Ensemble methods, Reliability & uncertainty
Cited by (2)
Cited by these reference in the corpus, listed by decreasing publication date.
Assessing the quality of state-of-the-art regional climate information: the case of the UK Climate Projections 2018. Climatic Change. 2021
Adaptation, Adequacy-for-purpose, Climate information distillation, Probability & possibility
Numerical instability and dynamical systems. European Journal for Philosophy of Science. 2021