See also my Google Scholar page
In review
Duncan, J.P., Wu, E., Dheeshjith, S., Subel, A., Arcomano, T., Clark, S.K., Henn, B., Kwa, A., McGibbon, J.W., Perkins, A., Gregory, W., Fernandez-Granda, C., Busecke, J., Watt-Meyer, O., Hurlin, W.J., Adcroft, A., Zanna, L., Bretherton, C. (2025). SamudrACE: Fast and accurate coupled climate modeling with 3D ocean and atmosphere emulators. arXiv [in review at Geophysical Research Letters]. https://doi.org/10.48550/arXiv.2509.12490.
Zanna, L., Gregory, W., Perezogin, P., Sane, A., Zhang, C., Adcroft, A., Bushuk, M., Fernandez-Granda, C., Reichl, B., Balwada, D., Busecke, J., Chapman, W., Connolly, A., Du, D., Everard, K., Falasca, F., Falga, R., Kamm, D., Meunier, E., Liu, Q., Nasser, A., Pudig, M., Shao, A., Simpson, J.L., Vogt, L., Wu, J. (2025). A framework for hybrid physics-AI coupled ocean models. arXiv [in review at Science Advances]. https://doi.org/10.48550/arXiv.2510.22676.
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 [accepted 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., Abernathey, R., Acharya, S., Adcroft, A., Berner, J., Balaji, V., Bhouri, M., Bruna, J., Bushuk, M., Chapman, W., Connolly, A., Deshayes, J., Fernandez-Granda, C., Gentine, P., Gorbunova, A., Gregory, W., Guillaumin, A., Gupta, S., Holland, M., Johnson, J.E., Le Sommer, J., Li, Z., Loose, N., Lu, F., O’Gorman, P., Perezhogin, P., Reichl, B., Ross, A., Sane, A., Shamekh, S., Verma, T., Yuval, J., Zampieri, L., Zhang, C., Zanna, L. (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., Ali, S., Bailey, D., Bao, Q., Batté, L., Bhatt, U., Blanchard-Wrigglesworth, E., Blockley, E., Cawley, G., Chi, J., Counillon, F., Couolmbe, P.G., Cullather, R.I., Diebold, F.X., Dirkson, A., Exarchou, E., Göbel, M., Gregory, W., Guemas, V., Hamilton, L., He, B., Horvath, S., Ionita, M., Kay, J.E., Kim, E., Kimura, N., Kondrashov, D., Labe, Z.M., Lee, W., Lee, Y., Li, C., Li, X., Lin, Y., Liu, Y., Maslowski, W., Massonnet, F., Meier, W.N., Merryfield, W.J., Myint, H., Acosta Navarro, J.C., Petty, A., Quao, F., Schröder, D., Schweiger, A., Shu, Q., Sigmond, M., Steele, M., Stroeve, J., Sun, N., Tietsche, S., Tsamados, M., Wang, K., Wang, J., Wang, W., Wang, Y., Wang, Y., Williams, J., Yang, Q., Yuan, X., Zhang, J., Zhang, Y. (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/.