Exploring NWS Forecasters’ Assessment of AI Guidance Trustworthiness MG Cains, CD Wirz, JL Demuth, A Bostrom, DJ Gagne, A McGovern, ... Weather and Forecasting, 2024 | 1 | 2024 |
Report on the NSF Workshop on Sustainable Computing for Sustainability (NSF WSCS 2024) R Guérin, A McGovern, K Nahrstedt arXiv preprint arXiv:2407.06119, 2024 | | 2024 |
The value of convergence research for developing trustworthy AI for weather, climate, and ocean hazards A McGovern, J Demuth, A Bostrom, CD Wirz, PE Tissot, MG Cains, ... npj Natural Hazards 1 (1), 13, 2024 | | 2024 |
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 44 (6), 1498-1513, 2024 | 6 | 2024 |
Part 1: Improving Wildfire Occurrence Prediction for CONUS Using Deep Learning and Fire Weather Variables BL Earnest, A McGovern, C Karstens, I Jirak Artificial Intelligence for the Earth Systems, 2024 | | 2024 |
Machine Learning Estimation of Maximum Vertical Velocity from Radar RJ Chase, A McGovern, CR Homeyer, PJ Marinescu, CK Potvin Artificial Intelligence for the Earth Systems 3 (2), 230095, 2024 | | 2024 |
AI2ES: The NSF AI Institute for Research on Trustworthy AI for Weather, Climate, and Coastal Oceanography A McGovern, I Ebert‐Uphoff, EA Barnes, A Bostrom, MG Cains, P Davis, ... AI Magazine 45 (1), 105-110, 2024 | | 2024 |
Identifying and Categorizing Bias in AI/ML for Earth Sciences A McGovern, A Bostrom, M McGraw, RJ Chase, DJ Gagne, I Ebert-Uphoff, ... Bulletin of the American Meteorological Society 105 (3), E567-E583, 2024 | 3 | 2024 |
Improving the Sharpness of Deep Learning Generated Weather Predictions M Yu, MM Madsen, A McGovern 104th AMS Annual Meeting, 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 |
An Improved Deep Learning Algorithm for Operational Detection of Frontal Boundaries AD Justin, A McGovern, JT Allen, JK Williams 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 |
Using AI Creatively In the Classroom: Lessons Learned A McGovern 104th AMS Annual Meeting, 2024 | | 2024 |
A Deep Learning Approach to Severe Weather Subseasonal Forecasting over the United States MM Madsen, A McGovern 104th AMS Annual Meeting, 2024 | | 2024 |
Estimating Uncertainty of Water Temperature Predictions for Cold-Stunning Events in the Laguna Madre HM Marrero-Colominas, M Shotande, AH Fagg, M White, P Tissot, ... 104th AMS Annual Meeting, 2024 | | 2024 |
LaunchCast: Deep Learning for Space Operations BT McClung, A McGovern 104th AMS Annual Meeting, 2024 | | 2024 |
Exploring the Role of Weather Forecasts in Predicting Wildfire Occurrence for CONUS Using the Unet3+ Deep Learning Model B Earnest, A McGovern, C Karstens, IL Jirak 104th AMS Annual Meeting, 2024 | | 2024 |
The Key Role of AI in the Future of Weather Forecasting A McGovern 104th AMS Annual Meeting, 2024 | | 2024 |
Explaining the Sources of Uncertainty in Machine Learning Winter Precipitation-Type Predictions C Becker, DJ Gagne, J Schreck, G Gantos, T Martin, D Kimpara, ... 104th AMS Annual Meeting, 2024 | | 2024 |
Detecting Above-Anvil Cirrus Plumes on a Pixel Scale Using Deep Learning A Burke, CR Homeyer, A McGovern 104th AMS Annual Meeting, 2024 | | 2024 |