References »
Multi-model ensembles in climate science: Mathematical structures and expert judgements. Studies in History and Philosophy of Science Part A. 2020
Cites (15)
Citations in the corpus, listed by decreasing publication date.
Values and evidence: how models make a difference. European Journal for Philosophy of Science. 2017
Probability & possibility, Reliability & uncertainty, Values
On Defining Climate and Climate Change. The British Journal for the Philosophy of Science. 2016
Climate & climate change, Theoretical foundations
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An outline of the ongoing debate regarding how to properly provide a definition of climate and climate change. Werndl first systematizes the debate by providing five desiderata that a proper definition of climate should follow. Ultimately, a number of candidates for a definition are discussed and Werndl argues that a definition focusing on a distribution over time for regimes of varying external conditions is the most promising as it meets all five desiderata.
An assessment of the foundational assumptions in high-resolution climate projections: the case of UKCP09. Synthese. 2015
Distinguishing between legitimate and illegitimate values in climate modeling. European Journal for Philosophy of Science. 2015
The Myopia of Imperfect Climate Models: The Case of UKCP09. Philosophy of Science. 2013
Ensemble modeling, uncertainty and robust predictions. WIREs Climate Change. 2013
Assessing climate model projections: State of the art and philosophical reflections. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2012
Values and Uncertainties in the Predictions of Global Climate Models. Kennedy Institute of Ethics Journal. 2012
Predictions and projections, Reliability & uncertainty, Values
When Climate Models Agree: The Significance of Robust Model Predictions*. Philosophy of Science. 2011
Confirmation & evaluation, Ensemble methods, Robustness, Values
Whose Probabilities? Predicting Climate Change with Ensembles of Models. Philosophy of Science. 2010
Ensemble methods, Probability & possibility, Reliability & uncertainty
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
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
Underdetermination, Model-ensembles and Surprises: On the Epistemology of Scenario-analysis in Climatology. Journal for General Philosophy of Science. 2009
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
Robustness reasoning in climate model comparisons. Studies in History and Philosophy of Science Part A. 2021