See also my Google Scholar page
In review
Gregory, W., Bushuk, M., Zhang, Y., Adcroft, A., Zanna, L., McHugh, C., Jia, L. (2025). Advancing global sea ice prediction capabilities using a fully-coupled climate model with integrated machine learning. arXiv [in review at Science Advances]. https://doi.org/10.48550/arXiv.2505.18328.
Zhang, Y., Bushuk, M., Winton, M., Gregory, W., Hurlin, W., Jia, L., Lu, F. (2025). Subseasonal forecast improvements from sea ice concentration data assimilation in the Antarctic. EGUsphere [in review at The Cryosphere]. https://doi.org/10.5194/egusphere-2025-2807.
Published
Balwada, D., …, Gregory, W., et al. (2024). Learning machine learning with Lorenz-96. Journal of Open Source Education. 7, 241. https://doi.org/10.21105/jose.00241.
Gregory, W., MacEachern, Ronald., Takao, So., Lawrence, I.R., Nab, C., Deisenroth, M.P., Tsamados, M. (2024). Scalable interpolation of satellite altimetry data with probabilistic machine learning. Nature Communications. 15, 7453. https://doi.org/10.1038/s41467-024-51900-x.
Bushuk, M., …, Gregory, W., et al. (2024). Predicting September Arctic sea ice: a multi-model seasonal skill comparison, Bulletin of the American Meteorological Society. 105, E1170-E1203. https://doi.org/10.1175/BAMS-D-23-0163.1.
Gregory, W., Bushuk, M., Zhang, Y., Adcroft, A., Zanna, L. (2024). Machine learning for online sea ice bias correction in global ice-ocean simulations. Geophysical Research Letters. 51, e2023GL106776. https://doi.org/10.1029/2023GL106776.
Zhang, Y., Bushuk, M., Winton, M., Hurlin, W., Gregory, W., Landy, J.C., Jia, L. (2023). Improvements in September Arctic sea ice predictions via assimilation of summer CryoSat-2 sea ice thickness observations. Geophysical Research Letters. 50, e2023GL105672. https://doi.org/10.1029/2023GL105672.
Gregory, W., Bushuk, M., Adcroft, A., Zhang, Y., Zanna, L. (2023). Deep learning of systematic sea ice model error from data assimilation increments. Journal of Advances in Modeling Earth Systems. 15, e2023MS003757. https://doi.org/10.1029/2023MS003757.
Nab, C., Mallett, R., Gregory, W., Landy, J.C., Lawrence, I.R., Willatt, R., Stroeve, J., Tsamados, M. (2023). Synoptic variability in satellite altimeter-derived radar freeboard of Arctic sea ice. Geophysical Research Letters. 50, e2022GL100696. https://doi.org/10.1029/2022GL100696.
Gregory, W., Stroeve, J., Tsamados, M. (2022). Network connectivity between the winter Arctic Oscillation and summer sea ice in CMIP6 models and observations. The Cryosphere. 16, 1653-1673. https://doi.org/10.5194/tc-16-1653-2022.
Gregory, W., Lawrence, I.R., Tsamados, M. (2021). A Bayesian approach towards daily pan-Arctic sea ice freeboard estimates from combined CryoSat-2 and Sentinel-3 satellite observations. The Cryosphere. 15, 2857-287. https://doi.org/10.5194/tc-15-2857-2021.
Gregory, W., Tsamados, M., Stroeve, J., Sollich P. (2020). Regional September sea ice forecasting with complex networks and Gaussian processes. Weather and Forecasting. 35, 793-806. https://doi.org/10.1175/WAF-D-19-0107.1.
PhD thesis
Gregory, W. (2021). Machine Learning tools for pattern recognition in polar climate science. University College London. https://discovery.ucl.ac.uk/id/eprint/10139913/.