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1. Expert judgment in climate science: How it is used and how it can be justified. Studies in History and Philosophy of Science Part A. 2023 Majszak, Mason M., Jebeile, Julie

   Communication of uncertainties, Expert judgement, Values

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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. Climate Models and Robustness Analysis – Part II: The Justificatory Challenge. In Handbook of the Philosophy of Climate Change. 2023 Harris, Margherita, Frigg, Roman

   Confirmation & evaluation, Robustness

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4. Calibrating statistical tools: Improving the measure of Humanity's influence on the climate. Studies in History and Philosophy of Science Part A. 2022 Dethier, Corey

   Attribution, Fingerprint studies

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5. The epistemic value of independent lies: false analogies and equivocations. Synthese. 2021 Harris, Margherita

   Confirmation & evaluation, Robustness

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6. Assessing the quality of state-of-the-art regional climate information: the case of the UK Climate Projections 2018. Climatic Change. 2021 Baldissera Pacchetti, Marina, Dessai, Suraje, Stainforth, David A., Bradley, Seamus

   Adaptation, Adequacy-for-purpose, Climate information distillation, Probability & possibility

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7. Two Exploratory Uses for General Circulation Models in Climate Science. Perspectives on Science. 2021 Wilson, Joseph

   Understanding & explanation

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8. Data models, representation and adequacy-for-purpose. European Journal for Philosophy of Science. 2021 Bokulich, Alisa, Parker, Wendy S.

   Data

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9. Argument-based assessment of predictive uncertainty of data-driven environmental models. Environmental Modelling & Software. 2020 Knüsel, Benedikt, Baumberger, Christoph, Zumwald, Marius, Bresch, David N., Knutti, Reto

   Data, Reliability & uncertainty

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10. 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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