Below is a list of publications that were supported through the Megalopolitan Coastal Transformation Hub.

Dangendorf, S., Hendricks, N., Sun, Q. et al. (2023). Acceleration of U.S. Southeast and Gulf coast sea-level rise amplified by internal climate variability. Nature Communications, 14, 1935. | Press Coverage

Gourevitch, J. D., Kousky, C., Liao, Y., Nolte, C., Pollack, A. B., Porter, J. R., & Weill, J. A. (2023). Unpriced climate risk and the potential consequences of overvaluation in US housing markets. Nature Climate Change, 13(3), 250–257. | Press Coverage

Hermans, T., Malagón-Santos, V., Katsman, C., Jane, R., Rasmussen, D.J., Hassnoot, M., Garner, G., Kopp, R., Oppenheimer, M., Slangen, A., (2023). The timing of decreasing coastal flood protection due to sea-level rise. Nature Climate Change, 13, 359–366. | Press Coverage

Kopp, R.E., Oppenheimer, M., O’Reilly, J.L. et al. Communicating future sea-level rise uncertainty and ambiguity to assessment users. Nat. Clim. Chang. (2023).

Xi, D., Lin, N., & Gori, A. (2023). Increasing sequential tropical cyclone hazards along the US East and Gulf coasts. Nature Climate Change, 13(3), 258–265. | Press Coverage


Bamber, J. L., Oppenheimer, M., Kopp, R. E., Aspinall, W. P., & Cooke, R. M. (2022). Ice Sheet and Climate Processes Driving the Uncertainty in Projections of Future Sea Level Rise: Findings From a Structured Expert Judgement Approach. Earth’s Future, 10(10), e2022EF002772.

Feng, K., Ouyang, M. & Lin, N. (2022). Tropical cyclone-blackout-heatwave compound hazard resilience in a changing climate. Nature Communications, 13, 4421. | Press Coverage

Gilmore, E. A., Kousky, C., & St. Clair, T. (2022). Climate change will increase local government fiscal stress in the United States. Nature Climate Change, 12(3), 216–218.

Gori, A., Lin, N., Xi, D., & Emanuel, K. (2022). Tropical cyclone climatology change greatly exacerbates US extreme rainfall–surge hazard. Nature Climate Change, 12(2), 171-178. | Press Coverage

Gori, A., & Lin, N. (2022). Projecting Compound Flood Hazard Under Climate Change With Physical Models and Joint Probability Methods. Earth’s Future, 10(12), e2022EF003097.

Kim, H., Villarini, G., Jane, R., Wahl, T., Misra, S., & Michalek, A. (n.d.). On the generation of high-resolution probabilistic design events capturing the joint occurrence of rainfall and storm surge in coastal basins. International Journal of Climatology, 43( 2), 761– 771.

Lockwood, J., Oppenheimer, M., Lin, N., Kopp, R. E., Vecchi, G., & Gori, A. (2022). Correlation between sea-level rise and aspects of future tropical cyclone activity in CMIP6 models. Earth’s Future, 10, e2021EF002462.

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(24), e2022JD037617.

Rasmussen, D. J., Kopp, R. E., & Oppenheimer, M. (2023). Coastal Defense Megaprojects in an Era of Sea-Level Rise: Politically Feasible Strategies or Army Corps Fantasies? Journal of Water Resources Planning and Management, 149(2), 04022077. | Press Coverage

Sweet, W. V., Hamlington, B. D., Kopp, R. E., Weaver, C. P., Barnard, P. L., Bekaert, D., W. Brooks, M. C., Dusek, G., Frederikse, T., Garner, G., Genz, A. S., Krasting, J. P., Larour, E., D. Marcy, J. J. M., Obeysekera, J., Osler, M., Pendleton, M., Roman, D., Schmied, L., Zuzak, and C. (2022). Global and regional sea level rise scenarios for the united states: Updated mean projections and extreme water level probabilities along U.S. coastlines (NOAA Technical Report NOS 01; p. 111 pp.). National Oceanic and Atmospheric Administration, National Ocean Service. | Press Coverage

Tenebruso, C., Nichols-O’Neill, S., Lorenzo-Trueba, J., Ciarletta, D. J., & Miselis, J. L. (2022). Undeveloped and developed phases in the centennial evolution of a barrier-marsh-lagoon system: The case of Long Beach Island, New Jersey. Frontiers in Marine Science, 9.

You can also view all MACH Publications in the NSF Public Access Repository (NSF-PAR) by going here.