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  1. 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

  2. When is an ensemble like a sample? “Model-based” inferences in climate modeling. Synthese. 2022 Dethier, Corey

    Ensemble methods, Reliability & uncertainty

  3. 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

  4. Understanding and assessing uncertainty of observational climate datasets for model evaluation using ensembles. WIREs Climate Change. 2020 Zumwald, Marius, Knüsel, Benedikt, Baumberger, Christoph, Hirsch Hadorn, Gertrude, Bresch, David N., Knutti, Reto

    Ensemble methods, Reliability & uncertainty

  5. The strategy of model building in climate science. Synthese. 2020 Walmsley, Lachlan Douglas

  6. Evaluating Data Journeys: Climategate, Synthetic Data and the Benchmarking of Methods for Climate Data Processing. In Data Journeys in the Sciences. 2020 Parker, Wendy S.

    Data, Datasets, Reanalysis

  7. Climate data empathy. WIREs Climate Change. 2018 Brönnimann, Stefan, Wintzer, Jeannine

    Data, Datasets

  8. The Significance of Robust Climate Projections. In Climate Modelling. 2018 Parker, Wendy S.

    Confirmation & evaluation, Ensemble methods, Reliability & uncertainty, Robustness, Robustness

  9. Reply to “Comments on ‘Reanalyses and Observations: What’s the Difference?’”. Bulletin of the American Meteorological Society. 2017 Parker, Wendy S.

    Data, Reanalysis, Reliability & uncertainty