| Deep-learning-based gridded downscaling of surface meteorological variables in complex terrain. Part I: Daily maximum and minimum 2-m temperature Y Sha, DJ Gagne II, G West, R Stull Journal of Applied Meteorology and Climatology 59 (12), 2057-2073, 2020 | 82 | 2020 |
| Deep-learning-based gridded downscaling of surface meteorological variables in complex terrain. Part II: Daily precipitation Y Sha, DJ Gagne II, G West, R Stull Journal of Applied Meteorology and Climatology 59 (12), 2075-2092, 2020 | 68 | 2020 |
| Deep-learning-based precipitation observation quality control Y Sha, DJ Gagne II, G West, R Stull Journal of Atmospheric and Oceanic Technology 38 (5), 1075-1091, 2021 | 17 | 2021 |
| A hybrid analog-ensemble–convolutional-neural-network method for postprocessing precipitation forecasts Y Sha, DJ Gagne, G West, R Stull Monthly Weather Review 150 (6), 1495-1515, 2022 | 10 | 2022 |
| Generative ensemble deep learning severe weather prediction from a deterministic convection-allowing model Y Sha, RA Sobash, DJ Gagne Artificial Intelligence for the Earth Systems 3 (2), e230094, 2024 | 4 | 2024 |
| Scaling GPU-Accelerated AI Models for Advanced Numerical Weather Prediction J Schreck, N Sobhani, B Kirk, D Howard, WE Chapman, Y Sha, DJ Gagne 105th AMS Annual Meeting, 2025 | | 2025 |
| NCAR Community Research Earth Digital Intelligence Twin (CREDIT)(Core Science Keynote) DJ Gagne, J Schreck, WE Chapman, Y Sha, S McGinnis, A Kazadi, ... 105th AMS Annual Meeting, 2025 | | 2025 |
| Improving AI weather prediction models using global mass and energy conservation schemes Y Sha, JS Schreck, W Chapman, DJ Gagne II arXiv preprint arXiv:2501.05648, 2025 | | 2025 |
| Machine-Learning Emulation of the 4-km CONUS404 Downscaling SA McGinnis, DJ Gagne, J Schreck, W Chapman, Y Sha, ED Gutmann, ... AGU24, 2024 | | 2024 |
| NCAR Community Runnable Earth Digital Intelligence Twin (CREDIT) DJ Gagne, J Schreck, W Chapman, Y Sha, A Kazadi, SA McGinnis AGU24, 2024 | | 2024 |
| Community Research Earth Digital Intelligence Twin (CREDIT) J Schreck, Y Sha, W Chapman, D Kimpara, J Berner, S McGinnis, ... arXiv preprint arXiv:2411.07814, 2024 | | 2024 |
| Improving ensemble extreme precipitation forecasts using generative artificial intelligence Y Sha, RA Sobash, DJ Gagne II arXiv preprint arXiv:2407.04882, 2024 | | 2024 |
| Ensemble Probabilistic Severe Weather Prediction Using Convection-Allowing Models and Deep Generative Models Y Sha, RA Sobash, DJ Gagne, C Schwartz 104th AMS Annual Meeting, 2024 | | 2024 |
| Applying Dense and Convolutional Neural Networks to the HRRR and RRFS to Generate Reliable, Skillful 1-48 Hour Predictions of Severe Weather Reports, Warnings, and Lightning RA Sobash, DA Ahijevych, Y Sha, CS Schwartz, DJ Gagne, D Dowell, ... 32nd Conference on Weather Analysis and Forecasting (WAF)/28th Conference on …, 2023 | | 2023 |
| Next-Day Probabilistic Severe Weather Predictions Using Convection-Allowing Models and Convolutional Neural Networks Y Sha, RA Sobash, DJ Gagne, C Schwartz 103rd AMS Annual Meeting, 2023 | | 2023 |
| Uncertainty Quantification Decomposition through the Lens of Explainable AI C Becker, J Schreck, DJ Gagne, MJ Molina, G Gantos, Y Sha 103rd AMS Annual Meeting, 2023 | | 2023 |
| A hybrid analog-ensemble, convolutional-neural-network method for Y Sha, DJ Gagne II, G West, R Stull | | 2022 |
| Generalizable Spatial Downscaling of 2-m Temperature with Multiple Data Sources—Insights from the Recent Advances in Deep Learning Y Sha, DJ Gagne, G West, R Stull 101st American Meteorological Society Annual Meeting, 2021 | | 2021 |
| Post-processing precipitation forecasts in British Columbia using deep learning methods Y Sha University of British Columbia, 2021 | | 2021 |
| Precipitation Observation Quality Control with Deep Learning in Complex Terrain Y Sha, DJ Gagne, R Stull, G West AGU Fall Meeting Abstracts 2019, H43J-2163, 2019 | | 2019 |
David John Gagne IINational Center for Atmospheric Research在 ucar.edu 的电子邮件经过验证
