References and Links to Papers
Use of machine learning & deep learning in hazard prediction
Lockwood, J. W., Lin, N., Oppenheimer, M., & Lai, C.-Y. (2022). Using Neural Networks to Predict Hurricane Storm Surge and to Assess the Sensitivity of Surge to Storm Characteristics. Journal of Geophysical Research: Atmospheres, 127, e2022JD037617. https://doi.org/10.1029/2022JD037617
Impact of correlations on future flood hazard
Lockwood, J. W., Oppenheimer, M., Lin, N., Kopp E. R., Vecchi, G. & Gori, A. (2022). Correlation between future sea-level rise and tropical cyclone activity in CMIP6 models, Earth's Future. https://agupubs.onlinelibrary.wiley.com/doi/10.1029/2021EF002462
Quantifying the physical processes that drive the response of polar regions to climate change.
Lockwood, J. W., Dufour, C. O., Griffies, S. M., & Winton, M. (2021). On the role of the Antarctic Slope Front on the occurrence of the Weddell Sea polynya under climate change, Journal of Climate, 1-56.