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The Coupled Model Intercomparison Project: History, uses, and structural effects on climate research. WIREs Climate Change. 2020 Touzé‐Peiffer, Ludovic, Barberousse, Anouk, Le Treut, Hervé

Ensemble methods

Cites (5)

Citations in the corpus, listed by decreasing publication date.

  1. The scientific challenge of understanding and estimating climate change. Proceedings of the National Academy of Sciences. 2019 Palmer, Tim, Stevens, Bjorn

    , MIB strategy, Predictions and projections, Understanding & explanation

  2. The Art and Science of Climate Model Tuning. Bulletin of the American Meteorological Society. 2017 Hourdin, Frédéric, Mauritsen, Thorsten, Gettelman, Andrew, Golaz, Jean-Christophe, Balaji, Venkatramani, Duan, Qingyun, Folini, Doris, Ji, Duoying, Klocke, Daniel, Qian, Yun, Rauser, Florian, Rio, Catherine, Tomassini, Lorenzo, Watanabe, Masahiro, Williamson, Daniel

    Calibration/tuning, Confirmation & evaluation, Parameterization

  3. The future of climate modeling. Climatic Change. 2015 Katzav, Joel, Parker, Wendy S.

    Confirmation & evaluation

  4. When Climate Models Agree: The Significance of Robust Model Predictions*. Philosophy of Science. 2011 Parker, Wendy S.

    Confirmation & evaluation, Ensemble methods, Robustness, Values

  5. 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

Cited by (2)

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

  2. Diagnosing errors in climate model intercomparisons. European Journal for Philosophy of Science. 2023 O’Loughlin, Ryan

    Confirmation & evaluation, Robustness