Publications
References and Links to Papers
Ongoing
Use of machine learning & deep learning in hazard prediction
Lockwood, J. W., T. Loridan, N. Lin, M. Oppenheimer, and N. Hannah, 2024: A Machine Learning Approach to Model Over-Ocean Tropical Cyclone Precipitation. J. Hydrometeor., 25, 207–221, https://doi.org/10.1175/JHM-D-23-0065.1.
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
Ongoing
Sustainable Investing and Adaptation
Lockwood, J., Lin, N., Oppenheimer, M. (working.), Addressing Socio-Economic Inequalities in Adaptation Measures: A
Cost-Benefit Approach in New York City
Ongoing
Decarbonization and Energy
Kousky, C. & Lockwood, J., (in review.) ”Leveraging Insurance for Decarbonization,” Journal of Catastrophe Risk and Resilience
2022
Impact of correlations on future 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
2021
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.