See also my Google Scholar page
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.
Under Review
Balwada, D., …, Gregory, W., et al. (2023). Learning machine learning with Lorenz-96. Submitted to Journal of Open Source Education. https://doi.org/10.22541/essoar.170365239.95851488/v1.
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/.