Articles | Volume 22, issue 4
https://doi.org/10.5194/nhess-22-1287-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
https://doi.org/10.5194/nhess-22-1287-2022
© Author(s) 2022. This work is distributed under
the Creative Commons Attribution 4.0 License.
the Creative Commons Attribution 4.0 License.
Tropical cyclone storm surge probabilities for the east coast of the United States: a cyclone-based perspective
Katherine L. Towey
CORRESPONDING AUTHOR
Earth and Environmental Science, The Graduate Center, City University
of New York, New York, NY, 10016, USA
James F. Booth
Earth and Environmental Science, The Graduate Center, City University
of New York, New York, NY, 10016, USA
Earth and Atmospheric Science, The City College of New York, City
University of New York, New York, NY, 10031, USA
Alejandra Rodriguez Enriquez
Civil, Environmental, and Construction Engineering and National Center
for Integrated Coastal Research, University of Central Florida, Orlando, FL,
32816, USA
Thomas Wahl
Civil, Environmental, and Construction Engineering and National Center
for Integrated Coastal Research, University of Central Florida, Orlando, FL,
32816, USA
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Hydrol. Earth Syst. Sci., 29, 3101–3117, https://doi.org/10.5194/hess-29-3101-2025, https://doi.org/10.5194/hess-29-3101-2025, 2025
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Urban flooding can be driven by rain and storm surge or the combination of the two, which is called compound flooding. In this study, we analyzed hourly historical rain and surge data for New York City to provide a more detailed statistical analysis than prior studies of this topic. The analyses reveal that tropical cyclones (e.g., hurricanes) have potential for causing more extreme compound floods than other storms, while extratropical cyclones cause less extreme, more frequent compound events.
Sara Santamaria-Aguilar, Pravin Maduwantha, Alejandra R. Enriquez, and Thomas Wahl
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Traditional flood assessments use an event-based approach, assuming flood risk matches the chance of flood drivers. However, flooding also depends on topography and the spatio-temporal features of events. The response-based approach uses many events to estimate flood hazard directly. In Gloucester City (NJ, U.S.), we find that frequent events can cause rare (1 %) flood levels due to their spatio-temporal characteristics. Including these factors is key for accurate flood hazard estimates.
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Jane, Sönke Dangendorf, Hanbeen Kim, and Gabriele Villarini
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Compound flooding occurs when multiple drivers, such as heavy rain and storm surge, occur simultaneously. Comprehensive compound flood risk assessments require simulating a many storm events using flood models, but such historical data are limited. To address this, we developed a statistical framework to generate large numbers of synthetic yet realistic storm events for use in flood modeling.
Joshua Green, Ivan D. Haigh, Niall Quinn, Jeff Neal, Thomas Wahl, Melissa Wood, Dirk Eilander, Marleen de Ruiter, Philip Ward, and Paula Camus
Nat. Hazards Earth Syst. Sci., 25, 747–816, https://doi.org/10.5194/nhess-25-747-2025, https://doi.org/10.5194/nhess-25-747-2025, 2025
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Compound flooding, involving the combination or successive occurrence of two or more flood drivers, can amplify flood impacts in coastal/estuarine regions. This paper reviews the practices, trends, methodologies, applications, and findings of coastal compound flooding literature at regional to global scales. We explore the types of compound flood events, their mechanistic processes, and the range of terminology. Lastly, this review highlights knowledge gaps and implications for future practices.
Jordan Eissner, David Mechem, Yi Jin, Virendra Ghate, and James Booth
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Low-level clouds have important radiative feedbacks and can occur in a range of meteorological conditions, yet our knowledge and prediction of them are insufficient. We evaluate model forecasts of low-level cloud properties across a cold front and the associated environments that they form in. The model represents the meteorological conditions well and produces broken clouds behind the cold front in areas of strong surface forcing, large stability, and large-scale subsiding motion.
Pravin Maduwantha, Thomas Wahl, Sara Santamaria-Aguilar, Robert Jane, James F. Booth, Hanbeen Kim, and Gabriele Villarini
Nat. Hazards Earth Syst. Sci., 24, 4091–4107, https://doi.org/10.5194/nhess-24-4091-2024, https://doi.org/10.5194/nhess-24-4091-2024, 2024
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When assessing the likelihood of compound flooding, most studies ignore that it can arise from different storm types with distinct statistical characteristics. Here, we present a new statistical framework that accounts for these differences and shows how neglecting these can impact the likelihood of compound flood potential.
Sönke Dangendorf, Qiang Sun, Thomas Wahl, Philip Thompson, Jerry X. Mitrovica, and Ben Hamlington
Earth Syst. Sci. Data, 16, 3471–3494, https://doi.org/10.5194/essd-16-3471-2024, https://doi.org/10.5194/essd-16-3471-2024, 2024
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Sea-level information from the global ocean is sparse in time and space, with comprehensive data being limited to the period since 2005. Here we provide a novel reconstruction of sea level and its contributing causes, as determined by a Kalman smoother approach applied to tide gauge records over the period 1900–2021. The new reconstruction shows a continuing acceleration in global mean sea-level rise since 1970 that is dominated by melting land ice. Contributors vary significantly by region.
Simon Treu, Sanne Muis, Sönke Dangendorf, Thomas Wahl, Julius Oelsmann, Stefanie Heinicke, Katja Frieler, and Matthias Mengel
Earth Syst. Sci. Data, 16, 1121–1136, https://doi.org/10.5194/essd-16-1121-2024, https://doi.org/10.5194/essd-16-1121-2024, 2024
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This article describes a reconstruction of monthly coastal water levels from 1900–2015 and hourly data from 1979–2015, both with and without long-term sea level rise. The dataset is based on a combination of three datasets that are focused on different aspects of coastal water levels. Comparison with tide gauge records shows that this combination brings reconstructions closer to the observations compared to the individual datasets.
Ahmed A. Nasr, Thomas Wahl, Md Mamunur Rashid, Paula Camus, and Ivan D. Haigh
Hydrol. Earth Syst. Sci., 25, 6203–6222, https://doi.org/10.5194/hess-25-6203-2021, https://doi.org/10.5194/hess-25-6203-2021, 2021
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We analyse dependences between different flooding drivers around the USA coastline, where the Gulf of Mexico and the southeastern and southwestern coasts are regions of high dependence between flooding drivers. Dependence is higher during the tropical season in the Gulf and at some locations on the East Coast but higher during the extratropical season on the West Coast. The analysis gives new insights on locations, driver combinations, and the time of the year when compound flooding is likely.
Jiayi Fang, Thomas Wahl, Jian Fang, Xun Sun, Feng Kong, and Min Liu
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A comprehensive assessment of compound flooding potential is missing for China. We investigate dependence, drivers, and impacts of storm surge and precipitation for coastal China. Strong dependence exists between driver combinations, with variations of seasons and thresholds. Sea level rise escalates compound flood potential. Meteorology patterns are pronounced for low and high compound flood potential. Joint impacts from surge and precipitation were much higher than from each individually.
Paula Camus, Ivan D. Haigh, Ahmed A. Nasr, Thomas Wahl, Stephen E. Darby, and Robert J. Nicholls
Nat. Hazards Earth Syst. Sci., 21, 2021–2040, https://doi.org/10.5194/nhess-21-2021-2021, https://doi.org/10.5194/nhess-21-2021-2021, 2021
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In coastal regions, floods can arise through concurrent drivers, such as precipitation, river discharge, storm surge, and waves, which exacerbate the impact. In this study, we identify hotspots of compound flooding along the southern coast of the North Atlantic Ocean and the northern coast of the Mediterranean Sea. This regional assessment can be considered a screening tool for coastal management that provides information about which areas are more predisposed to experience compound flooding.
Yasser Hamdi, Ivan D. Haigh, Sylvie Parey, and Thomas Wahl
Nat. Hazards Earth Syst. Sci., 21, 1461–1465, https://doi.org/10.5194/nhess-21-1461-2021, https://doi.org/10.5194/nhess-21-1461-2021, 2021
Robert Jane, Luis Cadavid, Jayantha Obeysekera, and Thomas Wahl
Nat. Hazards Earth Syst. Sci., 20, 2681–2699, https://doi.org/10.5194/nhess-20-2681-2020, https://doi.org/10.5194/nhess-20-2681-2020, 2020
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Full dependence is assumed between drivers in flood protection assessments of coastal water control structures in south Florida. A 2-D analysis of rainfall and coastal water level showed that the magnitude of the conservative assumption in the original design is highly sensitive to the regional sea level rise projection considered. The vine copula and HT04 model outperformed five higher-dimensional copulas in capturing the dependence between rainfall, coastal water level, and groundwater level.
Cited articles
Akbar, M. K., Kanjanda, S., and Musinguzi, A.: Effect of bottom friction,
wind drag coefficient, and meteorological forcing in hindcast of hurricane
Rita storm surge using SWAN + ADCIRC model, J. Mar. Sci. Eng., 5, 38,
https://doi.org/10.3390/jmse5030038, 2017.
Bauer, M., Tselioudis, G., and Rossow, W. B.: A new climatology for
investigating storm influences in and on the extratropics, J. Appl.
Meteorol. Clim., 55, 1287–1303, https://doi.org/10.1175/JAMC-D-15-0245.1, 2016.
Bloemendaal, N., Muis, S., Haarsma, R. J., Verlaan, M., Apecechea, M. I., de
Moel, H., Ward, P. J., and Aerts, J. C. J. H.: Global modeling of tropical
cyclone storm surges using high-resolution forecasts, Clim. Dynam., 52,
5031–5044, https://doi.org/10.1007/s00382-018-4430-x, 2019.
Booth, J. F., Rieder, H. E., and Kushnir, Y.: Comparing hurricane
extratropical storm surge for the Mid-Atlantic and Northeast coast of the
United States from 1979–2013, Environ. Res. Lett., 11, 094004,
https://doi.org/10.1088/1748-9326/11/9/094004, 2016.
Camelo, J., Mayo, T. L., and Gutmann, E. D.: Projected climate change
impacts on hurricane storm surge inundation in the coastal United States,
Front. Built Environ., 6, 588049, https://doi.org/10.3389/fbuil.2020.588049, 2020.
Catalano, A. J. and Broccoli, A. J.: Synoptic characteristics of
surge-producing extratropical cyclones along the northeast coast of the
United States, J. Appl. Meteorol. Clim., 57, 171–184,
https://doi.org/10.1175/JAMC-D-17-0123.1, 2018.
Coles, S.: An introduction to statistical modelling of extreme values,
Springer-Verlag London, 209 pp., https://doi.org/10.1007/978-1-4471-3675-0, 2001.
Colle, B. A., Rojowsky, K., and Buonaito, F.: New York City storm surges:
Climatology and an analysis of the wind and cyclone evolution, J. Appl.
Meteorol. Clim., 49, 85–100, https://doi.org/10.1175/2009JAMC2189.1, 2010.
Familkhalili, R., Talke, S. A., and Jay, D. A.: Tide-storm surges
interactions in highly altered estuaries: How channel deepening increases
surge vulnerability, J. Geophys. Res.-Oceans, 125, e2019JC015286,
https://doi.org/10.1029/2019JC015286, 2020.
Garner, A. J., Mann, M. E., Emanuel, K. A., Kopp, R. E., Lin, N., Alley, R.
B., Horton, B. P., DeConto, R. M., Donnelly, J. P., and Pollard, D.: Impact
of climate change on New York City's coastal flood hazard: Increasing flood
heights from the preindustrial to 2300 CE, P. Natl. Acad. Sci. USA, 114,
11861–11866, https://doi.org/10.1073/pnas.1703568114, 2017.
Hall, T. M. and Sobel, A. H.: On the impact angle of Hurricane Sandy's New
Jersey landfall, Geophys. Res. Lett., 40, 2312–2315, https://doi.org/10.1002/grl.50395,
2013.
Hallegatte, S., Green, C., Nicholls, R. J., and Corfee-Morlot, J.: Future
flood losses in major coastal cities, Nat. Clim. Change, 3, 802–806, 2013.
Irish, J. L., Resio, D. T., and Ratcliff, J. J.: The influence of storm size
on hurricane surge, J. Phys. Oceanogr., 38, 2003–2013,
https://doi.org/10.1175/2008JPO3727.1, 2008.
Jones, S. C., Harr, P. A., Abraham, J., Bosart, L. F., Bowyer, P. J., Evans,
J. L., Hanley, D. E., Hanstrum, B. N., Hart, R. E., Lalaurette, F.,
Sinclair, M. R., Smith, R. K., and Thorncroft, C.: The extratropical
transition of tropical cyclones: Forecast challenges, current understanding,
and future directions, Weather Forecast., 18, 1052–1092, 2003.
Knutson, T., Camargo, S. J., Chan, J. C. L., Emanuel, K., Ho, C-H., Kossin,
J., Mohapatra, M., Satoh, M., Sugi, M., Walsh, K., and Wu, L.: Tropical cyclones
and climate change assessment: Part II: Projected response to anthropogenic
warming, B. Am. Meteorol. Soc., 101, E303–E322,
https://doi.org/10.1175/BAMS-D-18-0194.1, 2020.
Landsea, C. W. and Franklin, J. L.: Atlantic hurricane database uncertainty
and presentation of a new database format, Mon. Weather Rev., 141,
3576–3592, https://doi.org/10.1175/MWR-D-12-00254.1, 2013 (data available at: https://www.nhc.noaa.gov/data/, last access: 31 July 2021).
Lin, N., Emanuel, K. A., Smith, J. A., and Vanmarcke, E.: Risk assessment of
hurricane storm surge for New York City, J. Geophys. Res.-Atmos., 115, D18121,
https://doi.org/10.1029/2009JD013630, 2010.
Lionello, P., Conte, D., and Reale, M.: The effect of cyclones crossing the Mediterranean region on sea level anomalies on the Mediterranean Sea coast, Nat. Hazards Earth Syst. Sci., 19, 1541–1564, https://doi.org/10.5194/nhess-19-1541-2019, 2019.
Marsooli, R. and Lin, N.: Numerical modeling of historical storm tides and
waves and their interactions along the U.S. East and Gulf Coasts, J.
Geophys. Res.-Oceans, 123, 3844–3874, https://doi.org/10.1029/2017JC013434, 2018.
Moftakhari, H. R., AghaKouchak A., Sanders, B. F., Feldman, D. L., Sweet,
W., Matthew, R. A., and Luke, A.: Increased nuisance flooding along the
coasts of the United States due to sea level rise: Past and future, Geophys.
Res. Lett., 42, 9846–9852, 2015.
Needham, H. F. and Keim, B. D.: Correlating storm surge heights with
tropical cyclone winds at and before landfall, Earth Interact., 18, 7,
https://doi.org/10.1175/2013EI000527.1, 2014.
Needham, H. F., Keim, B. D., and Sathiaraj, D.: A review of tropical
cyclone-generated storm surges: Global data sources, observations, and
impacts, Rev. Geophys., 53, 545–591, https://doi.org/10.1002/2014RG000477, 2015.
NOAA: https://tidesandcurrents.noaa.gov/, NOAA [data set], last access: 31 May 2021.
Orton, P. M., Hall, T. M., Talke, S. A., Blumberg, A. F., Georgas, N., and
Vinogradov, S.: A validated tropical-extratropical flood hazard assessment
for New York Harbor, J. Geophys. Res.-Oceans, 121, 8904–8929,
https://doi.org/10.1002/2016JC011679, 2016.
Peng, M., Xie, L., and Pietrafesa, L. J.: Tropical cyclone induced asymmetry
of sea level surge and its presentation in a storm surge model with
parametric wind fields, Ocean Model., 14, 81–101,
https://doi.org/10.1016/j.ocemod.2006.03.004, 2006.
Phan, L. T., Slinn, D. N., and Kline, S. W.: Wave effects on hurricane storm
surge simulation, ATC & SEI Conference on Advances in Hurricane
Engineering 2012, Miami, FL, USA, 24–26 October 2012,
https://doi.org/10.1061/9780784412626.065, 2013.
Rahmstorf, S.: Rising hazard of storm-surge flooding, P. Natl. Acad. Sci. USA,
114, 11806–11808, https://doi.org/10.1073/pnas.1715895114, 2017.
Ramos-Valle, A. N., Curchitser, E. N., and Bruyère, C. L.: Impact of
tropical cyclone landfall angle on storm surge along the Mid-Atlantic Bight,
J. Geophys. Res.-Atmos., 125, e2019JD031796, https://doi.org/10.1029/2019JD031796, 2020.
Rego, J. L. and Li, C.: Nonlinear terms in storm surge prediction: Effect of
tide and shelf geometry with case study from Hurricane Rita, J. Geophys.
Res., 115, C06020, https://doi.org/10.1029/2009JC005285, 2010.
Roberts, K. J., Colle, B. A., Georgas, N., and Munch, S. B.: A
regression-based approach for cool-season storm surge predictions along the
New York-New Jersey coast, J. Appl. Meteorol. Clim., 54, 1773–1791,
https://doi.org/10.1175/JAMC-D-14-0314.1, 2015.
Sobel, A. H., Camargo, S. J., Hall, T. M., Lee, C-Y., Tippett, M. K., and
Wing, A. A.: Human influence on tropical cyclone intensity, Science, 353,
242–246, https://doi.org/10.1126/science.aaf6574, 2016.
Strauss, B. H., Ziemlinski R., Weiss, J. L., and Overpeck, J. T.: Tidally
adjusted estimates of topographic vulnerability to sea level rise and
flooding for the contiguous United States, Environ. Res. Lett., 7, 014033,
https://doi.org/10.1088/1748-9326/7/1/014033, 2012.
Sweet, W. V. and Park, J.: From the extreme to the mean: Acceleration and
tipping points of coastal inundation from sea level rise, Earth's Future, 2,
579–600, https://doi.org/10.1002/2014EF000272, 2014.
Talke, S. A., Orton, P. M., and Jay, D. A.: Increasing storm tides in New
York Harbor, 1844–2013, Geophys. Res. Lett., 41, 3149–3155,
https://doi.org/10.1002/2014GL059574, 2014.
Tebaldi, C., Strauss, B. H., and Zervas, C. E.: Modelling sea level rise
impacts on storm surges along US coasts, Environ. Res. Lett., 7, 014032,
https://doi.org/10.1088/1748-9326/7/1/014032, 2012.
Towey, K. L., Booth, J. F., Frei, A., and Sinclair, M. R.: Track and
circulation analysis of tropical and extratropical cyclones that cause
strong precipitation and streamflow events in the New York City watershed,
J. Hydrometeorol., 19, 1027–1042, https://doi.org/10.1175/JHM-D-17-0199.1, 2018.
Wahl, T., Haigh, I. D., Nicholls, R. J., Arns, A., Dangendorf, S., Hinkel,
J., and Slangen, A. B. A.: Understanding extreme sea levels for broad-scale
coastal impact and adaptation analysis, Nat. Commun., 8, 16075,
https://doi.org/10.1038/ncomms16075, 2017.
Weaver, R. and Slinn, D. N.: Influence of bathymetric fluctuations on
coastal storm surge, Coast. Eng., 57, 62–70,
https://doi.org/10.1016/j.coastaleng.2009.09.012, 2010.
Zhang, K., Douglas, B. C., and Leatherman, S. P.: Twentieth-century storm
activity along the U.S. east coast, J. Climate, 13, 1748–1761, 2000.
Short summary
Coastal flooding due to storm surge from tropical cyclones is a significant hazard. The influence of tropical cyclone characteristics, including its proximity, intensity, path angle, and speed, on the magnitude of storm surge is examined along the eastern United States. No individual characteristic was found to be strongly related to how much surge occurred at a site, though there is an increased likelihood of high surge occurring when tropical cyclones are both strong and close to a location.
Coastal flooding due to storm surge from tropical cyclones is a significant hazard. The...
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