All Stories

  1. Evidential Deep Learning Emulation of Monthly Streamflow Anomalies From Land Surface Model Perturbed-Parameter Ensembles in Snow-Dominated Basins

    Article • May 2026, Wiley

    Dr. David John Gagne

  2. Data‐Driven Probabilistic Air‐Sea Flux Parameterization

    Article • Geophysical Research Letters, March 2026, American Geophysical Union (AGU)

    Dr. David John Gagne

  3. An open AI benchmark for rainfall forecasting in Latin America

    Article • IEEE Access, January 2026, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. David John Gagne, Adriano Almeida

  4. Scalable, Uncertainty-Aware Streamflow Prediction in Snow-Dominated Catchments Using Evidential Deep Learning and CLM5 Ensembles

    Article • December 2025, Wiley

    Dr. David John Gagne

  5. Leveraging automated machine learning (AutoML) for urban climate emulation

    Article • Big Data and Earth System, December 2025, Elsevier

    Dr. David John Gagne

  6. Efficient Emulation, Uncertainty Quantification, and Sensitivity Analysis for a Land Surface Model using Evidential Deep Learning

    Article • November 2025, Wiley

    Dr. David John Gagne

  7. Improving AI Weather Prediction Models Using Global Mass and Energy Conservation Schemes

    Article • Journal of Advances in Modeling Earth Systems, November 2025, American Geophysical Union (AGU)

    Dr. David John Gagne

  8. Investigating the Use of Terrain‐Following Coordinates in AI‐Driven Precipitation Forecasts

    Article • Geophysical Research Letters, October 2025, American Geophysical Union (AGU)

    Dr. David John Gagne

  9. Uncertainty quantification of wind gust predictions in the northeast United States: An evidential neural network and explainable artificial intelligence approach

    Article • Environmental Modelling & Software, September 2025, Elsevier

    Dr. David John Gagne

  10. Downscaling from Mesoscale to Microscale in Complex Terrain Using a Compound Generative Adversarial Network

    Article • Artificial Intelligence for the Earth Systems, July 2025, American Meteorological Society

    Dr. David John Gagne

  11. Community Research Earth Digital Intelligence Twin: a scalable framework for AI-driven Earth System Modeling

    Article • npj Climate and Atmospheric Science, June 2025, Springer Science + Business Media

    Dr. David John Gagne

  12. (Re)Conceptualizing trustworthy AI: A foundation for change

    Article • Artificial Intelligence, May 2025, Elsevier

    Dr. David John Gagne

  13. Spatiotemporal Evolution of Marine Heatwaves Globally

    Article • Journal of Atmospheric and Oceanic Technology, December 2024, American Meteorological Society

    Dr. David John Gagne

  14. Pushing the frontiers in climate modelling and analysis with machine learning

    Article • Nature Climate Change, August 2024, Springer Science + Business Media

    Dr. David John Gagne

  15. Ethics in climate AI: From theory to practice

    Article • PLOS Climate, August 2024, PLOS

    Dr. David John Gagne

  16. A Machine Learning‐Based Approach to Quantify ENSO Sources of Predictability

    Article • Geophysical Research Letters, July 2024, American Geophysical Union (AGU)

    Dr. David John Gagne

  17. Increasing the Reproducibility and Replicability of Supervised AI/ML in the Earth Systems Science by Leveraging Social Science Methods

    Article • Earth and Space Science, July 2024, American Geophysical Union (AGU)

    Dr. David John Gagne

  18. Identifying and Categorizing Bias in AI/ML for Earth Sciences

    Article • Bulletin of the American Meteorological Society, March 2024, American Meteorological Society

    Dr. David John Gagne

  19. Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences

    Article • Risk Analysis, November 2023, Wiley

    Dr. David John Gagne

  20. Lessons learned in coupling atmospheric models across scales for onshore and offshore wind energy

    Article • Wind Energy Science, August 2023, Copernicus GmbH

    Dr. David John Gagne

  21. Diagnosing Storm Mode with Deep Learning in Convection-Allowing Models

    Article • Monthly Weather Review, August 2023, American Meteorological Society

    Dr. David John Gagne

  22. Spatiotemporal Evolution of Marine Heatwaves Globally

    Article • July 2023, Wiley

    Dr. David John Gagne

  23. Machine Learning and VIIRS Satellite Retrievals for Skillful Fuel Moisture Content Monitoring in Wildfire Management

    Article • Remote Sensing, July 2023, MDPI AG

    Dr. David John Gagne

  24. Trustworthy Artificial Intelligence for Environmental Sciences: An Innovative Approach for Summer School

    Article • Bulletin of the American Meteorological Society, June 2023, American Meteorological Society

    Dr. David John Gagne

  25. Mimicking non-ideal instrument behavior for hologram processing using neural style translation

    Article • Optics Express, May 2023, Optical Society of America (OSA)

    Dr. David John Gagne

  26. Neural network processing of holographic images

    Article • Atmospheric Measurement Techniques, October 2022, Copernicus GmbH

    Dr. David John Gagne

  27. Neural Network Emulation of the Formation of Organic Aerosols Based on the Explicit GECKO‐A Chemistry Model

    Article • Journal of Advances in Modeling Earth Systems, October 2022, American Geophysical Union (AGU)

    Dr. David John Gagne

  28. Machine Learning for Improving Surface-Layer-Flux Estimates

    Article • Boundary-Layer Meteorology, September 2022, Springer Science + Business Media

    Dr. David John Gagne

  29. On the Application of an Observations‐Based Machine Learning Parameterization of Surface Layer Fluxes Within an Atmospheric Large‐Eddy Simulation Model

    Article • Journal of Geophysical Research Atmospheres, August 2022, American Geophysical Union (AGU)

    Dr. David John Gagne

  30. NSF AI Institute for Research on Trustworthy AI in Weather, Climate, and Coastal Oceanography (AI2ES)

    Article • Bulletin of the American Meteorological Society, July 2022, American Meteorological Society

    Dr. David John Gagne

  31. The History and Practice of AI in the Environmental Sciences

    Article • Bulletin of the American Meteorological Society, May 2022, American Meteorological Society

    Dr. David John Gagne

  32. Neural network emulation of the formation of organic aerosols based on the explicit GECKO-A chemistry model

    Article • January 2022, Wiley

    Dr. David John Gagne

  33. Probabilistic Machine Learning Estimation of Ocean Mixed Layer Depth From Dense Satellite and Sparse In Situ Observations

    Article • Journal of Advances in Modeling Earth Systems, November 2021, American Geophysical Union (AGU)

    Dr. David John Gagne

  34. A Benchmark to Test Generalization Capabilities of Deep Learning Methods to Classify Severe Convective Storms in a Changing Climate

    Article • Earth and Space Science, August 2021, American Geophysical Union (AGU)

    Dr. David John Gagne

  35. A benchmark to test generalization capabilities of deep learning methods to classify severe convective storms in a changing climate

    Article • May 2021, Wiley

    Dr. David John Gagne

  36. Deep-learning-based precipitation observation quality control

    Article • Journal of Atmospheric and Oceanic Technology, April 2021, American Meteorological Society

    Dr. David John Gagne

  37. Machine Learning the Warm Rain Process

    Article • Journal of Advances in Modeling Earth Systems, February 2021, American Geophysical Union (AGU)

    Dr. David John Gagne

  38. Probabilistic Machine Learning Estimation of Ocean Mixed Layer Depth from Dense Satellite and Sparse In-Situ Observations

    Article • January 2021, Wiley

    Dr. David John Gagne

  39. Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain. Part I: Daily Maximum and Minimum 2-m Temperature

    Article • Journal of Applied Meteorology and Climatology, December 2020, American Meteorological Society

    Dr. David John Gagne

  40. Deep-Learning-Based Gridded Downscaling of Surface Meteorological Variables in Complex Terrain. Part II: Daily Precipitation

    Article • Journal of Applied Meteorology and Climatology, December 2020, American Meteorological Society

    Dr. David John Gagne

  41. Deep learning classification of potentially severe convective storms in a changing climate

    Article • October 2020, Wiley

    Dr. David John Gagne

  42. ANNUAL MEETING PREVIEW

    Article • Bulletin of the American Meteorological Society, October 2020, American Meteorological Society

    Dr. David John Gagne

  43. Machine Learning the Warm Rain Process

    Article • August 2020, Wiley

    Dr. David John Gagne

  44. Deep Learning on Three-Dimensional Multiscale Data for Next-Hour Tornado Prediction

    Article • Monthly Weather Review, June 2020, American Meteorological Society

    Dr. David John Gagne

  45. Machine Learning for Stochastic Parameterization: Generative Adversarial Networks in the Lorenz '96 Model

    Article • Journal of Advances in Modeling Earth Systems, March 2020, American Geophysical Union (AGU)

    Dr. David John Gagne

  46. Calibration of Machine Learning–Based Probabilistic Hail Predictions for Operational Forecasting

    Article • Weather and Forecasting, January 2020, American Meteorological Society

    Dr. David John Gagne

  47. Making the Black Box More Transparent: Understanding the Physical Implications of Machine Learning

    Article • Bulletin of the American Meteorological Society, November 2019, American Meteorological Society

    Dr. David John Gagne

  48. Interpretable Deep Learning for Spatial Analysis of Severe Hailstorms

    Article • Monthly Weather Review, August 2019, American Meteorological Society

    Dr. David John Gagne

  49. Deep Learning for Spatially Explicit Prediction of Synoptic-Scale Fronts

    Article • Weather and Forecasting, August 2019, American Meteorological Society

    Dr. David John Gagne

  50. Storm-Based Probabilistic Hail Forecasting with Machine Learning Applied to Convection-Allowing Ensembles

    Article • Weather and Forecasting, October 2017, American Meteorological Society

    Dr. David John Gagne

  51. Using Artificial Intelligence to Improve Real-Time Decision-Making for High-Impact Weather

    Article • Bulletin of the American Meteorological Society, October 2017, American Meteorological Society

    Dr. David John Gagne

  52. Evaluation of statistical learning configurations for gridded solar irradiance forecasting

    Article • Solar Energy, July 2017, Elsevier

    Dr. David John Gagne

  53. Explicit Forecasts of Low-Level Rotation from Convection-Allowing Models for Next-Day Tornado Prediction

    Article • Weather and Forecasting, October 2016, American Meteorological Society

    Dr. David John Gagne

  54. Solar Energy Prediction: An International Contest to Initiate Interdisciplinary Research on Compelling Meteorological Problems

    Article • Bulletin of the American Meteorological Society, August 2015, American Meteorological Society

    Dr. David John Gagne

  55. Machine Learning Enhancement of Storm-Scale Ensemble Probabilistic Quantitative Precipitation Forecasts

    Article • Weather and Forecasting, August 2014, American Meteorological Society

    Dr. David John Gagne

  56. Severe Hail Prediction within a Spatiotemporal Relational Data Mining Framework

    Article • December 2013, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. David John Gagne

  57. Enhancing understanding and improving prediction of severe weather through spatiotemporal relational learning

    Article • Machine Learning, April 2013, Springer Science + Business Media

    Dr. David John Gagne

  58. Tornadic Supercell Environments Analyzed Using Surface and Reanalysis Data: A Spatiotemporal Relational Data-Mining Approach

    Article • Journal of Applied Meteorology and Climatology, December 2012, American Meteorological Society

    Dr. David John Gagne

  59. Machine learning enhancement of Storm Scale Ensemble precipitation forecasts

    Article • October 2012, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. David John Gagne

  60. Using spatiotemporal relational random forests to improve our understanding of severe weather processes

    Article • Statistical Analysis and Data Mining The ASA Data Science Journal, June 2011, Wiley

    Dr. David John Gagne

  61. Machine learning enhancement of storm scale ensemble precipitation forecasts

    Article • January 2011, ACM (Association for Computing Machinery)

    Dr. David John Gagne

  62. Classification of Convective Areas Using Decision Trees

    Article • Journal of Atmospheric and Oceanic Technology, July 2009, American Meteorological Society

    Dr. David John Gagne

  63. Spatiotemporal Relational Probability Trees: An Introduction

    Article • December 2008, Institute of Electrical & Electronics Engineers (IEEE)

    Dr. David John Gagne