| An evaluation of snowband predictability in the High-Resolution Rapid Refresh JT Radford, GM Lackmann, MA Baxter Weather and Forecasting 34 (5), 1477-1494, 2019 | 12 | 2019 |
| Trust and trustworthy artificial intelligence: A research agenda for AI in the environmental sciences A Bostrom, JL Demuth, CD Wirz, MG Cains, A Schumacher, ... Risk Analysis, 2023 | 2 | 2023 |
| Assessing variations in the predictive skill of ensemble snowband forecasts with object-oriented verification and self-organizing maps JT Radford, GM Lackmann Weather and Forecasting 38 (9), 1673-1693, 2023 | 2 | 2023 |
| Verification of high-resolution banded snowfall forecasts JT Radford North Carolina State University, 2019 | 2 | 2019 |
| Evaluation of Tropical Cyclone Track and Intensity Forecasts from Purely ML-based Weather Prediction Models, Illustrated with FourCastNet RT DeMaria, M DeMaria, G Chirokova, K Musgrave, JT Radford, ... 104th AMS Annual Meeting, 2024 | 1 | 2024 |
| Evidential deep learning: Enhancing predictive uncertainty estimation for earth system science applications JS Schreck, DJ Gagne II, C Becker, WE Chapman, K Elmore, G Gantos, ... arXiv preprint arXiv:2309.13207, 2023 | 1 | 2023 |
| An Iterative Approach toward Development of Ensemble Visualization Techniques for High-Impact Winter Weather Hazards: Part II: Product Evaluation JT Radford, GM Lackmann, J Goodwin, J Correia Jr, K Harnos Bulletin of the American Meteorological Society 104 (9), E1649–E1669, 2023 | 1 | 2023 |
| Improving High-Resolution Ensemble Forecast (HREF) System Mesoscale Snowband Forecasts with Random Forests JT Radford, GM Lackmann Weather and Forecasting 38 (9), 1695-1706, 2023 | 1 | 2023 |
| A Research Agenda for the Evaluation of AI-Based Weather Forecasting Models I Ebert-Uphoff, JQ Stewart, JT Radford EGU24, 2024 | | 2024 |
| Visualizing Data-Driven AI Models to Engage Operational Forecasters JT Radford, I Ebert-Uphoff, JQ Stewart, RT DeMaria, T Wilson, JL Demuth, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| Lessons Learned from Building Real-Time Machine Learning Testbeds for AI2ES DJ Gagne, JK Williams, JQ Stewart, J Demuth, PE Tissot, A Kurbanovas, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| Improving Generalizability of Road Condition Classification Models for Department of Transportation Camera Images C Sutter, KJ Sulia, NP Bassill, CD Thorncroft, V Przybylo, CD Wirz, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| Forecaster Perceptions of Trustworthiness, Explainability, and Interpretability in the Context of AI-Derived Guidance MG Cains, CD Wirz, JL Demuth, A Bostrom, M White, JT Radford 104th AMS Annual Meeting, 2024 | | 2024 |
| NWS Forecaster Perceptions of New AI Guidance for Coastal Fog Prediction CD Wirz, JL Demuth, M White, JT Radford, PE Tissot, MG Cains, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| Probability and Verification for High Impact Weather Events II JT Radford, CP Kalb 104th AMS Annual Meeting, 2024 | | 2024 |
| From Data to Decision: AI at the Intersection of Meteorology, Climate, and Society JT Radford, JK Williams 104th AMS Annual Meeting, 2024 | | 2024 |
| A Climatology of North American Heat Waves: Patterns and Processes L Getker, GM Lackmann, JT Radford, WA Robinson 104th AMS Annual Meeting, 2024 | | 2024 |
| Evidential Deep Learning: Enhancing Predictive Uncertainty Estimation for Earth System Science Applications G Gantos, J Schreck, DJ Gagne, C Becker, WE Chapman, D Kimpara, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| Machine Integration and Learning for Earth Systems (MILES): Bridging Key Gaps in Machine Learning for Earth System Science DJ Gagne, J Schreck, C Becker, G Gantos, T Martin, W Petzke, W Chuang, ... 104th AMS Annual Meeting, 2024 | | 2024 |
| A research agenda for the evaluation of AI-based weather forecasting models (Core Science Keynote) I Ebert-Uphoff, JQ Stewart, KA Hilburn, JT Radford, RT DeMaria, R Chase, ... 104th AMS Annual Meeting, 2024 | | 2024 |
