| Deep learning of systematic sea ice model errors from data assimilation increments W Gregory, M Bushuk, A Adcroft, Y Zhang, L Zanna Journal of Advances in Modeling Earth Systems 15 (10), e2023MS003757, 2023 | 22 | 2023 |
| Synoptic variability in satellite altimeter‐derived radar freeboard of Arctic sea ice C Nab, R Mallett, W Gregory, J Landy, I Lawrence, R Willatt, J Stroeve, ... Geophysical Research Letters 50 (2), e2022GL100696, 2023 | 21 | 2023 |
| Regional September sea ice forecasting with complex networks and Gaussian processes W Gregory, M Tsamados, J Stroeve, P Sollich Weather and Forecasting 35 (3), 793-806, 2020 | 21 | 2020 |
| A Bayesian approach towards daily pan-Arctic sea ice freeboard estimates from combined CryoSat-2 and Sentinel-3 satellite observations W Gregory, IR Lawrence, M Tsamados The Cryosphere 15 (6), 2857-2871, 2021 | 18 | 2021 |
| Network connectivity between the winter Arctic Oscillation and summer sea ice in CMIP6 models and observations W Gregory, J Stroeve, M Tsamados The Cryosphere 16 (5), 1653-1673, 2022 | 9 | 2022 |
| Scalable interpolation of satellite altimetry data with probabilistic machine learning W Gregory, R MacEachern, S Takao, IR Lawrence, C Nab, MP Deisenroth, ... Nature Communications 15 (1), 7453, 2024 | 7 | 2024 |
| Predicting september arctic sea ice: A multimodel seasonal skill comparison M Bushuk, S Ali, DA Bailey, Q Bao, L Batté, US Bhatt, ... Bulletin of the American Meteorological Society 105 (7), E1170-E1203, 2024 | 7 | 2024 |
| Machine learning for online sea ice bias correction within global ice-ocean simulations W Gregory, M Bushuk, Y Zhang, A Adcroft, L Zanna Geophysical Research Letters 51 (3), e2023GL106776, 2024 | 6 | 2024 |
| Improvements in september arctic sea ice predictions via assimilation of summer CryoSat‐2 sea ice thickness observations YF Zhang, M Bushuk, M Winton, B Hurlin, W Gregory, J Landy, L Jia Geophysical Research Letters 50 (24), e2023GL105672, 2023 | 5 | 2023 |
| Learning Machine Learning with Lorenz-96 D Balwada, R Abernathey, S Acharya, A Adcroft, J Brener, V Balaji, ... Journal of Open Source Education 7 (82), 241, 2024 | | 2024 |
| Data-Driven Science: Developments in Machine Learning Subgrid-Scale Parameterizations and in Reanalyses Across Earth System Modeling II Poster S Driscoll, S Shamekh, A Kumar, A Sane, L Mansfield, MG Bosilovich, ... AGU24, 2024 | | 2024 |
| Towards improving numerical sea ice predictions with data assimilation and machine learning W Gregory, M Bushuk, Y Zhang, A Adcroft, L Zanna EGU General Assembly Conference Abstracts, 11288, 2024 | | 2024 |
| Learning Machine Learning with Lorenz-96 D Balwada, R Abernathey, S Acharya, A Adcroft, J Brener, V Balaji, ... Authorea Preprints, 2023 | | 2023 |
| The New Generation of Global Climate Models Enhanced by Machine Learning L Zanna, A Sane, C Zhang, D Balwada, P Perezhogin, W Gregory, ... AGU Fall Meeting Abstracts 2023, GC21A-05, 2023 | | 2023 |
| Machine learning tools for pattern recognition in polar climate science W Gregory https://discovery.ucl.ac.uk/id/eprint/10139913/, 2021 | | 2021 |
| 1 Methods: GPSat details W Gregory, R MacEachern, S Takao, IR Lawrence, C Nab, MP Deisenroth, ... | | |
| GFDL Contribution to the September 2022 Sea Ice Outloook: September Report M Bushuk, M Winton, Y Zhang, B Hurlin, W Gregory, T Delworth, L Jia, ... | | |
