References (4)

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

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

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2. 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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3. 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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4. 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