Publications


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

Preprints



Helgeson, C., Auermuller, L., Gayle, D. B., Dangendorf, S., Gilmore, E. A., Keller, K., … Wahl, T. (2024). Exploratory scoping of place-based opportunities for convergence research. OSF Preprints. https://doi.org/10.31219/osf.io/z5ue4

Kopp, R. E., Gilmore, E. A., Shwom, R. L., Adler, C., Adams, H., Oppenheimer, M., ... & York, R. (2024). 'Tipping points' confuse and can distract from urgent climate action. ESS Open Archive. https://doi.org/10.22541/essoar.170542965.59092060/v1

Lin, N., Feng, K., Gori, A., Xi, D., Ouyang, M., & Oppenheimer, M. (2024). Hurricane Ida’s blackout-heatwave compound hazard risk in a changing climate. Nature Portfolio. https://doi.org/10.21203/rs.3.rs-4096843/v1

Maduwantha, P., Wahl, T., Santamaria-Aguilar, S., Jane, R. A., Booth, J. F., Kim, H., & Villarini, G. (2024). A multivariate statistical framework for mixed populations in compound flood analysis. EGUsphere, 2024, 1-27. https://doi.org/10.5194/egusphere-2024-1122

Pollack, A., Santamaria-Aguilar, S., Maduwantha, P., Helgeson, C., Wahl, T., & Keller, K. (2024). Funding rules that promote equity in climate adaptation outcomes. OSF Preprints. https://doi.org/10.31219/osf.io/6ewmu

Xu, L., Lin, N., Xi, D., Feng, K., & Poor, H. V. (2024). Hazard resistance-based spatiotemporal risk analysis for distribution network outages during hurricanes. arXiv preprint. https://doi.org/10.48550/arXiv.2401.10418

2024


Begmohammadi, A., Blackshaw, C. Y., Lin, N., Gori, A., Wallace, E., Emanuel, K., & Donnelly, J. P. (2024). Integrating Climatological‐Hydrodynamic Modeling and Paleohurricane Records to Assess Storm Surge Risk. Journal of Geophysical Research: Oceans, 129(1), e2023JC020354. https://doi.org/10.1029/2023JC020354

Begmohammadi, A., Wirasaet, D., Lin, N., Dietrich, J. C., Bolster, D., & Kennedy, A. B. (2024). Subgrid modeling for compound flooding in coastal systems. Coastal Engineering Journal, 1-18. https://doi.org/10.1080/21664250.2024.2373482

Camus, P., Haigh, I. D., Quinn, N., Wahl, T., Benson, T., Gouldby, B., ... & Nadal-Caraballo, N. C. (2024). Tracking the spatial footprints of extreme storm surges around the coastline of the UK and Ireland. Weather and Climate Extremes, 44, 100662. https://doi.org/10.1016/j.wace.2024.100662

Hintermaier, A., & Lin, N. (2024). An Investigation of Climate Change Effects on Design Wind Speeds along the US East and Gulf Coasts. Journal of Structural Engineering, 150(9), 04024123. https://doi.org/10.1061/JSENDH.STENG-11899

Joyse, K.M., Walker, J.S., Godfrey, L., Christie, M.A., Shaw, T.A., Corbett, D.R., Kopp, R.E. and Horton, B.P. (2024), The preservation of storm events in the geologic record of New Jersey, USA. J. Quaternary Sci., 39: 801-815. https://doi.org/10.1002/jqs.3622

Lempert, R., Lawrence, J., Kopp, R., Haasnoot, M., Reisinger, A., Grubb, M., & Pasqualino, R. The Use of Decision Making Under Deep Uncertainty in the IPCC. Frontiers in Climate, 6, 1380054. https://doi.org/10.3389/fclim.2024.1380054

Lockwood, J. W., Lin, N., Gori, A., & Oppenheimer, M. (2024). Increasing flood hazard posed by tropical cyclone rapid intensification in a changing climate. Geophysical Research Letters, 51(5), e2023GL105624. https://doi.org/10.1029/2023GL105624

Pollack, A. B., Helgeson, C., Kousky, C., & Keller, K. (2024). Developing more useful equity measurements for flood-risk management. Nature Sustainability, 7, 823 - 832. https://doi.org/10.1038/s41893-024-01345-3 | Press Release

Ro, S. H., & Gong, J. (2024). Scalable approach to create annotated disaster image database supporting AI-driven damage assessment. Natural Hazards, 1-20. https://doi.org/10.1007/s11069-024-06641-x

Ro, S. H., Li, Y., & Gong, J. (2024). A Machine learning approach for Post-Disaster data curation. Advanced Engineering Informatics, 60, 102427. https://doi.org/10.1016/j.aei.2024.102427

Wang, Y., Josephs, H., Duan, Z., & Gong, J. (2024). The impact of electrical hazards from overhead power lines on urban search and rescue operations during extreme flood events. International Journal of Disaster Risk Reduction, 104, 104359. https://doi.org/10.1016/j.ijdrr.2024.104359

Xi, D., Lin, N., Jing, R., Harr, P., & Oppenheimer, M. (2024). Uncertainties Inherent from Large-Scale Climate Projections in the Statistical Downscaling Projection of North Atlantic Tropical Cyclone Activity. Journal of Climate. https://doi.org/10.1175/JCLI-D-23-0475.1

Xu, L., Feng, K., Lin, N., Perera, A. T. D., Poor, H. V., Xie, L., ... & O’Malley, M. (2024). Resilience of renewable power systems under climate risks. Nature Reviews Electrical Engineering, 1(1), 53-66. https://doi.org/10.1038/s44287-023-00003-8 

2023


Dangendorf, S., Hendricks, N., Sun, Q., Klinck, J., Ezer, T., Frederikse, T., ... & Törnqvist, T. E.(2023). Acceleration of U.S. Southeast and Gulf coast sea-level rise amplified by internal climate variability. Nature Communications, 14(1), 1935. https://doi.org/10.1038/s41467-023-37649-9 | Press Release

Depsky, N., I. Bolliger, D. Allen, J. H. Choi, M. Delgado, M. Greenstone, A. Hamidi, T. Houser, R. Kopp, and S. Hsiang (2023). DSCIM-Coastal v1.1: an open-source modeling platform for global impacts of sea level rise. Geoscientific Model Development 16(14), 4331–4366. https://doi.org/10.5194/gmd-16-4331-2023 

Enriquez, A. R., Wahl, T., Talke, S. A., Orton, P. M., Booth, J. F., Agulles, M., & Santamaria-Aguilar, S. (2023). MatFlood: an efficient algorithm for mapping flood extent and depth. Environmental Modelling & Software, 169, 105829. https://doi.org/10.1016/j.envsoft.2023.105829

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. https://doi.org/10.1038/s41558-023-01594-8 | Press Release

Hermans, T. H., Malagón-Santos, V., Katsman, C. A., Jane, R. A., Rasmussen, D.J., Hassnoot, M., ... & Slangen, A. B., (2023). The timing of decreasing coastal flood protection due to sea-level rise. Nature Climate Change, 13(4), 359–366. https://doi.org/10.1038/s41558-023-01616-5 | Press Release

Joyse, K. M., Khan, N. S., Moyer, R. P., Radabaugh, K. R., Hong, I., Chappel, A. R., ... & Horton, B. P. (2023). The characteristics and preservation potential of Hurricane Irma's overwash deposit in southern Florida, USA. Marine Geology, 461, 107077. https://doi.org/10.1016/j.margeo.2023.107077

Kopp, R. E., Garner, G. G., Hermans, T. H., Jha, S., Kumar, P., Reedy, A., ... & Smith, C. (2023). The Framework for Assessing Changes To Sea-level (FACTS) v1. 0: A Platform for Characterizing Parametric and Structural Uncertainty in Future Global, Relative, and Extreme Sea-Level Change. Geoscientific Model Development, 16(24), 7461-7489. https://doi.org/10.5194/gmd-16-7461-2023Github Repo

Kopp, R.E., Oppenheimer, M., O’Reilly, J.L., Drijfhout, S. S., Edwards, T. L., Fox-Kemper, B., ... & Xiao, C. (2023). Communicating future sea-level rise uncertainty and ambiguity to assessment users. Nature Climate Change, 13(7), 648-660. https://doi.org/10.1038/s41558-023-01691-8 | Press Release

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. https://doi.org/10.1061/(ASCE)WR.1943-5452.0001613 | Press Release

Saintilan, N., Horton, B., Törnqvist, T. E., Ashe, E. L., Khan, N. S., Schuerch, M., ... & Guntenspergen, G. (2023). Widespread retreat of coastal habitat is likely at warming levels above 1.5° C. Nature, 621(7977), 112-119. https://doi.org/10.1038/s41586-023-06448-zPress Release

Schneider, T., Behera, S., Boccaletti, G., Deser, C., Emanuel, K., Ferrari, R., ... & Yamagata, T. (2023). Harnessing AI and computing to advance climate modelling and prediction. Nature Climate Change, 13(9), 887-889. https://doi.org/10.1038/s41558-023-01769-3

Shaw, T. A., Li, T., Ng, T., Cahill, N., Chua, S., Majewski, J. M., ... & Horton, B. P. (2023). Deglacial perspectives of future sea level for Singapore. Communications Earth & Environment, 4(1), 204. https://doi.org/10.1038/s43247-023-00868-5

Sun, Q., Dangendorf, S., Wahl, T., & Thompson, P. R. (2023). Causes of accelerated High-Tide Flooding in the US since 1950. npj Climate and Atmospheric Science, 6(1), 210. https://doi.org/10.1038/s41612-023-00538-5

Tebaldi, C., Aðalgeirsdóttir, G., Drijfhout, S., Dunne, J., Edwards, T. L., Fischer, E., ... & Zanis, P. (2023). The hazard components of representative key risks. The physical climate perspective. Climate Risk Management, 40, 100516. https://doi.org/10.1016/j.crm.2023.100516

Vousdoukas, M. I., P. Athanasiou, A. Giardino, L. Mentaschi, A. Stocchino, R. E. Kopp, P. Menéndez, M. W. Beck, R. Ranasinghe, and L. Feyen (2023). Small Island Developing States threatened by rising seas even if 1.5°C warming goal is achieved. Nature Sustainability, 6, 1552–1564. https://doi.org/10.1016/j.crm.2023.100516

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. https://doi.org/10.1038/s41558-023-01595-7 | Press Release

2022


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. https://doi.org/10.1029/2022EF002772

Feng, K., Ouyang, M. & Lin, N. (2022). Tropical cyclone-blackout-heatwave compound hazard resilience in a changing climate. Nature Communications, 13(1), 4421. https://doi.org/10.1038/s41467-022-32018-4 | Press Release

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. https://doi.org/10.1038/s41558-022-01311-x

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. https://doi.org/10.1038/s41558-021-01272-7 | Press Release

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. https://doi.org/10.1029/2022EF003097

Kim, H., Villarini, G., Jane, R., Wahl, T., Misra, S., & Michalek, A. (2022). 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. https://doi.org/10.1002/joc.7825

Lockwood, J. W., 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(4), e2021EF002462. https://doi.org/10.1029/2021EF002462

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. https://doi.org/10.1029/2022JD037617

Sweet, W. V., Hamlington, B. D., Kopp, R. E., Weaver, C. P., Barnard, P. L., Bekaert, D., ... & Zuzak, 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. https://oceanservice.noaa.gov/hazards/sealevelrise/noaa-nos-techrpt01-global-regional-SLR-scenarios-US.pdf | Press Release

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, 958573. https://doi.org/10.3389/fmars.2022.958573

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