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Cites (11)

Citations in the corpus, listed by decreasing publication date.

  1. Explicating Objectual Understanding: Taking Degrees Seriously. Journal for General Philosophy of Science. 2019 Baumberger, Christoph

    Understanding & explanation

  2. Applying big data beyond small problems in climate research. Nature Climate Change. 2019 Knüsel, Benedikt, Zumwald, Marius, Baumberger, Christoph, Hirsch Hadorn, Gertrude, Fischer, Erich M., Bresch, David N., Knutti, Reto

    Data

  3. Issues in the theoretical foundations of climate science. Studies in History and Philosophy of Science Part B: Studies in History and Philosophy of Modern Physics. 2018 Katzav, Joel, Parker, Wendy S.

    Climate & climate change, Theoretical foundations, Variability

  4. The Diversity of Model Tuning Practices in Climate Science. Philosophy of Science. 2016 Steele, Katie, Werndl, Charlotte

    Confirmation & evaluation, Confirmational holism

    Full textCitesCited by
    Note

    A discussion of what is dubbed the “intuitive position” of calibration and confirmation of climate models. In short, this position states, the tuning of a model directly influences the evaluation of said model, as a result the values used to tune the model cannot be used in the model’s evaluation. Steele and Werndl focus on the diversity of formal calibration methods and how the different perspectives relate to the intuitive position.

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

    Confirmation & evaluation

  6. Predictivism and old evidence: a critical look at climate model tuning. European Journal for Philosophy of Science. 2015 Frisch, Mathias

    Calibration/tuning, Confirmation & evaluation, Confirmational holism

  7. Predictivism and old evidence: a critical look at climate model tuning. European Journal for Philosophy of Science. 2015 Frisch, Mathias

    Calibration/tuning, Confirmation & evaluation

  8. Simulation and Understanding in the Study of Weather and Climate. Perspectives on Science. 2014 Parker, Wendy S.

    Confirmation & evaluation, Understanding & explanation

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

    Confirmation & evaluation, Ensemble methods, Robustness, Values

  10. Confirmation and Robustness of Climate Models. Philosophy of Science. 2010 Lloyd, Elisabeth A.

    Confirmation & evaluation, Robustness

  11. 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

Cited by (2)

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

  1. Machine learning and the quest for objectivity in climate model parameterization. Climatic Change. 2023 Jebeile, Julie, Lam, Vincent, Majszak, Mason M., Räz, Tim

    Calibration/tuning, Expert judgement, Machine Learning, Values

  2. Understanding climate change with statistical downscaling and machine learning. Synthese. 2020 Jebeile, Julie, Lam, Vincent, Räz, Tim

    Machine Learning, Regional climate modelling, Understanding & explanation