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Cites (9)

Citations in the corpus, listed by decreasing publication date.

  1. Values and uncertainties in climate prediction, revisited. Studies in History and Philosophy of Science Part A. 2014 Parker, Wendy

    Confirmation & evaluation, Reliability & uncertainty, Values

  2. 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 Katzav, Joel

    Confirmation & evaluation, Probability & possibility, Reliability & uncertainty

  3. Climate Models, Calibration, and Confirmation. The British Journal for the Philosophy of Science. 2013 Steele, Katie, Werndl, Charlotte

    Calibration/tuning, Confirmation & evaluation

    Full textCitesCited by
    Note

    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”.

  4. In defence of the value free ideal. European Journal for Philosophy of Science. 2013 Betz, Gregor

    Value-free ideal, Values

  5. 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

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

    Predictions and projections, Reliability & uncertainty, Values

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

    Confirmation & evaluation, Robustness

  8. 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

  9. Should we believe model predictions of future climate change? Philosophical Transactions of the Royal Society A: Mathematical, Physical and Engineering Sciences. 2008 Knutti, Reto

    Confirmation & evaluation, Reliability & uncertainty

Cited by (7)

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

  2. Philosophical Perspectives on Earth System Modeling: Truth, Adequacy, and Understanding. Journal of Advances in Modeling Earth Systems. 2020 Gramelsberger, G., Lenhard, J., Parker, W.S.

    Adequacy-for-purpose, Confirmation & evaluation, Understanding & explanation

  3. Climate Models: How to Assess Their Reliability. International Studies in the Philosophy of Science. 2019 Carrier, Martin, Lenhard, Johannes

    Confirmation & evaluation, Confirmational holism, Robustness

  4. What Types of Values Enter Simulation Validation and What Are Their Roles? In Simulation Foundations, Methods and Applications. 2019 Hirsch Hadorn, Gertrude, Baumberger, Christoph

    Confirmation & evaluation

  5. Practice and philosophy of climate model tuning across six US modeling centers. Geoscientific Model Development. 2017 Schmidt, Gavin A., Bader, David, Donner, Leo J., Elsaesser, Gregory S., Golaz, Jean-Christophe, Hannay, Cecile, Molod, Andrea, Neale, Richard B., Saha, Suranjana

    Calibration/tuning, Confirmation & evaluation, Ensemble methods

  6. Philosophy of Climate Science Part II: Modelling Climate Change. Philosophy Compass. 2015 Frigg, Roman, Thompson, Erica, Werndl, Charlotte

  7. Are climate models credible worlds? Prospects and limitations of possibilistic climate prediction. European Journal for Philosophy of Science. 2015 Betz, Gregor

    Probability & possibility, Reliability & uncertainty