Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling

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Citation for Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling

O’Loughlin, R. J., Li, D., Neale, R., & O’Brien, T. A. (2025). Moving beyond post hoc explainable artificial intelligence: a perspective paper on lessons learned from dynamical climate modeling. Geoscientific Model Development, 18(3), 787–802. https://doi.org/10.5194/gmd-18-787-2025

The Calibrated and Systematic Characterization, Attribution, and Detection of Extremes (CASCADE) project advances the Nation’s ability to identify and project climate extremes and how they are impacted by environmental drivers.