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David John Gagne

  1. Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning
    2019/08/22 by Amy McGovern, Ryan Lagerquist, David John Gagne +5 · 37 citations
    Earth and Planetary Sciences · Environmental Science · Computer Science · #Meteorological Phenomena and Simulations #Climate variability and models #Data Analysis with R
  2. CAMulator: Fast Emulation of the Community Atmosphere Model
    2025/04/08 by William E. Chapman, John S. Schreck, Chapman, William E. +13 · 1 voice · 10 citations
    Earth and Planetary Sciences · Environmental Science · #Climate variability and models #Meteorological Phenomena and Simulations #Tropical and Extratropical Cyclones Research #physics.ao-ph
  3. Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences
    2023/11/08 by Ann Bostrom, Julie L. Demuth, Christopher D. Wirz +32 · 4 citations
    Business, Management and Accounting · Computer Science · Social Sciences · #Big Data and Business Intelligence #Ethics and Social Impacts of AI #Explainable Artificial Intelligence (XAI)
  4. Improving ensemble extreme precipitation forecasts using generative artificial intelligence
    2024/07/05 by Yingkai Sha, Ryan A. Sobash, Sha, Yingkai +3 · 4 citations
    Earth and Planetary Sciences · #Meteorological Phenomena and Simulations
  5. Community Research Earth Digital Intelligence Twin: a scalable framework for AI-driven Earth System Modeling
    2024/11/09 by John Schreck, John S. Schreck, Yingkai Sha +22 · 2 voices · 4 citations
    Business, Management and Accounting · #Big Data and Business Intelligence
  6. Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications
    2023/09/22 by John S. Schreck, David John Gagne, Charlie Becker +13 · 1 voice · 1 citation
    #cs.LG
  7. Exploring NWS Forecasters’ Assessment of AI Guidance Trustworthiness
    2024/08/01 by Mariana G. Cains, Christopher D. Wirz, Julie L. Demuth +5 · 1 citation
  8. Controllable Probabilistic Forecasting with Stochastic Decomposition Layers
    2025/12/21 by John S. Schreck, Schreck, John S., William E. Chapman +17 · 1 voice · 1 citation
    Earth and Planetary Sciences · Environmental Science · Physics and Astronomy · #Meteorological Phenomena and Simulations #Climate variability and models #Model Reduction and Neural Networks
  9. Improving Medium Range Severe Weather Prediction through Transformer Post-processing of AI Weather Forecasts
    2025/05/16 by Zhanxiang Hua, Hua, Zhanxiang, Ryan A. Sobash +7 · 1 citation
    Computer Science · #Advanced Computational Techniques and Applications #Computational Physics and Python Applications