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

Machine Learning, Regional climate modelling, Understanding & explanation

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Cites (9)

Citations in the corpus, listed by decreasing publication date.

  1. Can Machines Learn How Clouds Work? The Epistemic Implications of Machine Learning Methods in Climate Science. Philosophy of Science. 2021 Kawamleh, Suzanne

    Calibration/tuning, Machine Learning, Parameterization

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  2. Understanding climate phenomena with data-driven models. Studies in History and Philosophy of Science Part A. 2020 Knüsel, Benedikt, Baumberger, Christoph

    Understanding & explanation

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  3. Model Evaluation: An Adequacy-for-Purpose View. Philosophy of Science. 2020 Parker, Wendy S.

    Adequacy-for-purpose, Confirmation & evaluation

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

    Understanding & explanation

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  5. Climate Model Confirmation: From Philosophy to Predicting Climate in the Real World. In Lloyd, Elisabeth A., Winsberg, Eric (eds.) Climate Modelling. 2018 Knutti, Reto

    Confirmation & evaluation, Predictions and projections

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  6. Building confidence in climate model projections: an analysis of inferences from fit. WIREs Climate Change. 2017 Baumberger, Christoph, Knutti, Reto, Hirsch Hadorn, Gertrude

    Confirmation & evaluation, Robustness

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

    Confirmation & evaluation, Understanding & explanation

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  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

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  9. The Gap between Simulation and Understanding in Climate Modeling. Bulletin of the American Meteorological Society. 2005 Held, Isaac M.

    Confirmation & evaluation, Understanding & explanation

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Cited by (3)

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

  1. Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling. Geoscientific Model Development. 2025 O'Loughlin, Ryan J.

    Machine Learning, Understanding & explanation

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  2. 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

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  3. Value management and model pluralism in climate science. Studies in History and Philosophy of Science Part A. 2021 Jebeile, Julie, Crucifix, Michel

    Value-free ideal, Values

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