| WeatherBench: A Benchmark Data Set for Data‐Driven Weather Forecasting S Rasp, PD Dueben, S Scher, JA Weyn, S Mouatadid, N Thuerey Journal of Advances in Modeling Earth Systems 12 (11), e2020MS002203, 2020 | 349 | 2020 |
| Can Machines Learn to Predict Weather? Using Deep Learning to Predict Gridded 500‐hPa Geopotential Height From Historical Weather Data JA Weyn, DR Durran, R Caruana Journal of Advances in Modeling Earth Systems 11 (8), 2680-2693, 2019 | 246 | 2019 |
| Improving Data‐Driven Global Weather Prediction Using Deep Convolutional Neural Networks on a Cubed Sphere JA Weyn, DR Durran, R Caruana Journal of Advances in Modeling Earth Systems 12 (9), e2020MS002109, 2020 | 242 | 2020 |
| Sub‐seasonal forecasting with a large ensemble of deep‐learning weather prediction models JA Weyn, DR Durran, R Caruana, N Cresswell‐Clay Journal of Advances in Modeling Earth Systems 13 (7), e2021MS002502, 2021 | 126 | 2021 |
| Thunderstorms do not get butterflies DR Durran, JA Weyn Bulletin of the American Meteorological Society 97 (2), 237-243, 2016 | 87 | 2016 |
| The dependence of the predictability of mesoscale convective systems on the horizontal scale and amplitude of initial errors in idealized simulations JA Weyn, DR Durran Journal of the Atmospheric Sciences 74 (7), 2191-2210, 2017 | 60 | 2017 |
| Practical Considerations for Computing Dimensional Spectra from Gridded Data D Durran, JA Weyn, MQ Menchaca Monthly Weather Review 145 (9), 3901-3910, 2017 | 35 | 2017 |
| The scale dependence of initial‐condition sensitivities in simulations of convective systems over the southeastern United States JA Weyn, DR Durran Quarterly Journal of the Royal Meteorological Society 145, 57-74, 2019 | 27 | 2019 |
| MS-nowcasting: Operational Precipitation Nowcasting with Convolutional LSTMs at Microsoft Weather S Klocek, H Dong, M Dixon, P Kanengoni, N Kazmi, P Luferenko, Z Lv, ... arXiv preprint arXiv:2111.09954, 2021 | 22 | 2021 |
| Ensemble Spread Grows More Rapidly in Higher-Resolution Simulations of Deep Convection JA Weyn, DR Durran Journal of the Atmospheric Sciences 75 (10), 3331-3345, 2018 | 18 | 2018 |
| Sub-seasonal Forecasting Using Large Ensembles of Data-driven Global Weather Prediction Models J Weyn-Vanhentenryck University of Washington, 2020 | 3 | 2020 |
| Operational precipitation nowcasting with convolutional LSTMs at Microsoft Weather J Weyn, LM Bharatula, CM Chan, M Dixon, H Dong, V Grebennikov, ... AGU Fall Meeting 2021, 2021 | | 2021 |
| Sub-Seasonal Prediction With A Global Deep-Learning Weather Prediction Model DR Durran, J Weyn, R Caruana AGU Fall Meeting Abstracts 2020, A073-03, 2020 | | 2020 |
| Deep learning for weather prediction: Forecasting globally-gridded 500-hPa geopotential heights on short-to medium-range time scales JA Weyn, DR Durran, R Caruana 100th American Meteorological Society Annual Meeting, 2020 | | 2020 |
| Deep learning forecasts of gridded 500-hPa geopotential heights on short-range to seasonal time scales J Weyn, DR Durran, R Caruana AGU Fall Meeting Abstracts 2019, A43E-08, 2019 | | 2019 |
| Upscale and Downscale Error Growth D Durran, J Weyn, M Gingrich | | 2017 |
| SUPPLEMENT: THUNDERSTORMS DO NOT GET BUTTERFLIES DR Durran, JA Weyn Bulletin of the American Meteorological Society 97 (2), ES15-ES17, 2016 | | 2016 |
