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Multi-model ensembles in climate science: Mathematical structures and expert judgements. Studies in History and Philosophy of Science Part A. 2020 Jebeile, Julie, Crucifix, Michel

Ensemble methods

Cites (15)

Citations in the corpus, listed by decreasing publication date.

  1. Values and evidence: how models make a difference. European Journal for Philosophy of Science. 2017 Parker, Wendy S., Winsberg, Eric

    Probability & possibility, Reliability & uncertainty, Values

  2. On Defining Climate and Climate Change. The British Journal for the Philosophy of Science. 2016 Werndl, Charlotte

    Climate & climate change, Theoretical foundations

    Full textCitesCited by
    Note

    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.

  3. The future of climate modeling. Climatic Change. 2015 Katzav, Joel, Parker, Wendy S.

    Confirmation & evaluation

  4. An assessment of the foundational assumptions in high-resolution climate projections: the case of UKCP09. Synthese. 2015 Frigg, Roman, Smith, Leonard A., Stainforth, David A.

    Regional climate modelling, Reliability & uncertainty

  5. Distinguishing between legitimate and illegitimate values in climate modeling. European Journal for Philosophy of Science. 2015 Intemann, Kristen

    Values

  6. The Myopia of Imperfect Climate Models: The Case of UKCP09. Philosophy of Science. 2013 Frigg, Roman, Smith, Leonard A., Stainforth, David A.

    Hawkmoth effect, Reliability & uncertainty

  7. Ensemble modeling, uncertainty and robust predictions. WIREs Climate Change. 2013 Parker, Wendy S.

    Ensemble methods, Reliability & uncertainty, Robustness

  8. 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 Katzav, Joel, Dijkstra, Henk A., (Jos) de Laat, A.T.J.

    Confirmation & evaluation, Reliability & uncertainty

  9. Values and Uncertainties in the Predictions of Global Climate Models. Kennedy Institute of Ethics Journal. 2012 Winsberg, Eric

    Predictions and projections, Reliability & uncertainty, Values

  10. When Climate Models Agree: The Significance of Robust Model Predictions*. Philosophy of Science. 2011 Parker, Wendy S.

    Confirmation & evaluation, Ensemble methods, Robustness, Values

  11. Whose Probabilities? Predicting Climate Change with Ensembles of Models. Philosophy of Science. 2010 Parker, Wendy S.

    Ensemble methods, Probability & possibility, Reliability & uncertainty

  12. 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 Parker, Wendy S.

    Ensemble methods, Probability & possibility, Reliability & uncertainty

  13. 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 Lenhard, Johannes, Winsberg, Eric

    Confirmation & evaluation, Confirmational holism

  14. Underdetermination, Model-ensembles and Surprises: On the Epistemology of Scenario-analysis in Climatology. Journal for General Philosophy of Science. 2009 Betz, Gregor

    Ensemble methods, Reliability & uncertainty

  15. Understanding Pluralism in Climate Modeling. Foundations of Science. 2006 Parker, W. S.

    Confirmation & evaluation, Ensemble methods, Reliability & uncertainty

Cited by (1)

Cited by these reference in the corpus, listed by decreasing publication date.

  1. Robustness reasoning in climate model comparisons. Studies in History and Philosophy of Science Part A. 2021 O’Loughlin, Ryan

    Confirmation & evaluation, Ensemble methods, Robustness