References (6)

The subject ‘Machine Learning’ is applied to these references.

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. For a Pluralism of Climate Modeling Strategies. Bulletin of the American Meteorological Society. 2024 Baldissera Pacchetti, Marina, Jebeile, Julie, Thompson, Erica

   Decision-making, Machine Learning, Predictions and projections, Storylines

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3. 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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4. Varieties of Data-Centric Science: Regional Climate Modeling and Model Organism Research. Philosophy of Science. 2022 Lloyd, Elisabeth, Lusk, Greg, Gluck, Stuart, McGinnis, Seth

   Data, Datasets, Machine Learning, Regional climate modelling

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5. 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

   Full textCitesCited by

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

   Machine Learning, Regional climate modelling, Understanding & explanation

   Full textCitesCited by