PRESENTATIONS
2024
- D. J. Gagne. "Machine Learning Data Challenges across the Pipeline" Innovations in Open Science (IOS) Planning Workshop: Community Expectations for a Geoscience Data Commons, (2024).
- D. J. Gagne. "Machine Learning Uncertainty Quantification and Numerical Weather Prediction" St. Andrews Vortex Dynamics Research Group Seminar Series, (2024).
- D. J. Gagne. "From Machine Learning Parameterization to Full Model Emulation" Cambridge ICCS Seminar Series, (2024).
- D. J. Gagne. "Machine Learning Uncertainty Quantification and Numerical Weather Prediction" ECMWF AIFS Group Seminar, (2024).
- D. J. Gagne. "AI Numerical Weather Prediction and Uncertainty Quantification at NSF NCAR" Met Office Seminar Series, (2024).
- D. J. Gagne. "Machine-Learning in climate modelling at NCAR" Oxford AOPP Seminar Series, (2024).
- D. J. Gagne. "How We are Building Trustworthy AI for Weather and Climate in AI2ES" Climate Informatics 2024, (2024).
- D. J. Gagne. "Lessons Learned from Building Real-Time Machine Learning Testbeds for AI2ES" 14th Conference on Transition of Research to Operations, (2024).
- D. J. Gagne. "Machine Integration and Learning for Earth Systems (MILES): Bridging Key Gaps in Machine Learning for Earth System Science" 23rd Conference on Artificial Intelligence for Environmental Science, (2024).
- Becker, C., J. Schreck., D. J. Gagne., M. Molina, G. Gantos, Y. Sha "Uncertainty Quantification Decomposition through the Lens of Explainable AI" AMS Annual Meeting 2023, (2023).
- D. J. Gagne. "Machine Learning Uncertainty Quantification for Predicting Hazards and Impacts from Convection-Allowing LAMs" 45th European Working Group on Limited-Area Modelling (EWGLAM) Meeting, (2023).
- D. J. Gagne. "Combining Uncertainty Quantification and XAI to Understand the Sensitivities of Deep Learning Winter Precipitation Type Predictions" DoD Cloud Post-Processing and Verification Workshop, (2023).
- D. J. Gagne. "How NCAR/UCAR Teams Have Used Artificial Intelligence to Advance Earth System Science" NCAR/UCAR Day of Science and Discovery, (2023).
- D. J. Gagne. "Understanding the Context of Machine Learning Uncertainty Quantification" National Institute for Meteorological Studies Seminar, (2023).
- D. J. Gagne. "Bringing Meteorological AI to the People" WMO Nowcasting and Mesoscale Research Working Group, (2023).
- C. Becker. "AI/ML Data Challenges in the Earth Sciences" Unidata Users Workshop - 2023, (2023).
- D. J. Gagne. "Machine Learning Uncertainty Quantification for Assessing Weather Impacts" World Meteorological Congress, (2023).
- C. Becker. "Machine Learning for Real-time Prediction of Freezing Precipitation" WINTRE-MIX Workshop, (2023).
- J. Schreck. "Harnessing the Potential of Satellite Imagery: Machine Learning for Hazardous Weather Prediction" UCAR Remote Sensing Initiative Workshop 2023, (2023).
- C. Becker. "Semi-supervised and Transfer Learning - Applications of a Hybrid Approach for Prediction of Convective Storm Mode" NOAA ML Working Group Meeting, (2023).
- G. Gantos. "Mimicking non-ideal instrument behavior for hologram processing using neural style translation" NCAR - CSU Planning Meetup, (2023).
- D. J. Gagne. "Machine learning opportunities and challenges from the ncar analytics and integrative machine learning group" 22nd Conference on Artificial Intelligence for Environmental Science, (2023).
- C. Becker. "Machine Learning Analysis of Convective Mode in Convection-Allowing Models: Updated Models and Real-Time Multi-Model Intercomparison" AMS Annual Meeting, (2023).
- G. Gantos. "Visualization and Trustworthiness of Machine Learning for Tornadic Storm Prediction" AMS Annual Meeting, (2023).
- C. Becker. "Uncertainty Quantification Decomposition through the lens of XAI" AMS Annual Meeting, (2023).
- D. J. Gagne. "Crisis: Convergent risk intelligence for severe impacts to society" 22nd Conference on Artificial Intelligence for Environmental Science, (2023).
- J. Schreck. "Using Machine Learning to Monitor the Fuel Moisture Content over CONUS and Alaska based on VIIRS" AMS Annual Meeting, (2023).
- J. Schreck. "Mimicking non-ideal instrument behavior for hologram processing using neural style translation" AMS Annual Meeting, (2023).
- D. J. Gagne. "Towards trustworthy artificial intelligence for high impact weather prediction" University of North Dakota Department of Atmospheric Sciences Seminar Series, (2022).
- D. J. Gagne. "Explainable uncertainty in machine learning weather prediction" ECMWF-ESA Workshop on Machine Learning for Earth System Observation and Prediction, (2022).
- D. J. Gagne. "The challenges of developing trustworthy ai systems for high impact weather prediction" 1st KMA-NOAA Workshop on AI for Weather and Climate, (2022).
- C. Becker. "Evaluating the Uncertainty of Tornadic Population Exposure with Machine Learning" NCAR CISL WIP Talk, (2022).
- D. J. Gagne. "An intercomparison of real-time machine learning hail guidance" North American Workshop on Hail and Hailstorms, (2022).
- C. Becker. "Machine Learning Techniques for Improving Prediction of Winter Weather Precipitation Types" New York State Mesonet Symposium, (2022).
- C. Becker. "Machine Learning Techniques for Improving Prediction of Winter Precipitation Types" University at Albany NY State Mesonet Symposium, (2022).
- D. J. Gagne. "Neural Network Processing of Holographic Images" Joint CISL/EOL seminar, (2022).
- C. Becker. "Machine Learning Analysis of Severe Storm Mode in Convection-Allowing Models" American Meteorological Society Annual Meeting 2022, (2022).
- J. Schreck. "Accelerating Mechanistic Simulation of Organic Chemistry in Weather and Climate Models with Machine Learning" American Meteorological Society Annual Meeting 2022, (2022).
- J. Schreck. "Machine Learning Challenges and Opportunities on NCAR HPC" CISL GPU TIGER meeting, (2021).
- J. Schreck. "Machine Learning and Hyperparameter Optimization on the GPUs at NCAR" CISL Work In Progress (WIP) discussion, (2021).
- D. J. Gagne. "Pathways to Trustworthy AI in Weather and Climate" 2nd Conference on the relation between AI, social Sciences, and Humanities, (2021).
- J. Schreck. "Accelerating Mechanistic Simulation of Organic Chemistry in Weather and Climate Models with Machine Learning" NCAR AIAG Roundtable Discussion, (2021).
- C. Becker. "Evaluation of Two ML Approaches for the Objective Identification of Convective Storm Mode Using Convection-allowing Model Output" NOAA Workshop on Leveraging AI in Environmental Sciences, (2021).
- G. Gantos. "4D Post-Processing of Holographic Images" NOAA Workshop on Leveraging AI in Environmental Sciences, (2021).
- J. Schreck. "Accelerating Mechanistic Simulation of Organic Chemistry in Weather and Climate Models with Machine Learning" NOAA 21: Leveraging AI in Environmental Sciences, (2021).
- D. J. Gagne. "The NCAR Analytics and Integrative Machine Learning Group: Research Overview" 3rd NOAA Workshop on Leveraging AI in Environmental Sciences, (2021).
- D. J. Gagne. "Machine Learning Roles in Earth System Modeling" Georgia Tech EAS Seminar Series, (2021).
- D. J. Gagne. "Machine Learning Emulation across the Earth System" Carnegie Mellon University STAMPS Webinars, (2021).
- G. Gantos. "Improving HOLODEC post-processing via Deep Learning" American Meteorological Society Annual Meeting, (2021).
- J. Schreck. "Optimization of Neural Emulators in Earth Science Applications" American Meteorological Society 2020 conference, (2021).
- D. J. Gagne. "A machine learning odyssey through the earth system" AMS 20th Conference on Artificial Intelligence for Environmental Science, (2021).
- C. Becker. "Emulator Benchmarking with an Open GECKO-A Dataset" American Meteorological Society Annual Meeting 2021, (2021).
- D. J. Gagne. "Earth system science machine learning challenge problems" AGU Fall Meeting, (2020).
- D. J. Gagne. "Accelerating and explaining earth system process models with machine learning" ECMWF-ESA Workshop on Machine Learning for Earth System Observation and Prediction, (2020).
- D. J. Gagne. "The AI for Earth System Science Hackathon: Challenge Problems and Lessons Learned" 2nd NOAA Workshop on Leveraging AI in Environmental Science, (2020).
- D. J. Gagne. "Seeing the Atmosphere through Machine Learning" NCAR Explorer Series, (2020).
- D. J. Gagne. "Interpretable deep learning for analysis of extreme weather risk" Reinsurance Association of America Cat Risk Management Conference, (2020).
- D. J. Gagne. "Machine Learning Parameterization of the Surface Layer: Integration with WRF" AMS Annual Meeting, (2020).
- D. J. Gagne. "Probabilistic Rapid Intensification Prediction with Convolutional Neural Networks and HWRF" AMS Annual Meeting, (2020).
- D. J. Gagne. "Emulation of Bin Microphysical Processes with Machine Learning" AMS Annual Meeting, (2020).
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