Birchler, J.J.; Dalyander, P.S.; Stockdon, H.F.; Doran, K.S., 2015, National assessment of nor'easter-induced coastal erosion hazards: mid- and northeast Atlantic coast: , 41, https://doi.org/10.3133/ofr20151154.
Birchler, J.J.; Stockdon, H.F.; Doran, K.S.; Thompson, D.M., 2014, National Assessment of Hurricane-Induced Coastal Erosion Hazards: Northeast Atlantic Coast: , https://doi.org/10.3133/ofr20141243.
Doran, K.S.; Birchler, J.; Stockdon, H.F.; Thompson, D.M.; Morgan, K.L.M.; Brenner, O.T., 2016, National assessment of hurricane-induced coastal erosion hazards: South Carolina through New Hampshire update: , https://doi.org/10.5066/F7RF5S44.
Doran, K.S.; Long, J.W.; Birchler, J.J.; Weber, K.M., 2016, Beach slopes of Massachusetts: , https://doi.org/10.5066/F7B8568F.
Doran, K.S.; Long, J.W.; Birchler, J.J;, Brenner, O.T.; Hardy, M.W.; Morgan, K.L.M.; Stockdon, H.F.; Torres, M.L., 2017, Lidar-derived beach morphology (dune crest, dune toe, and shoreline) for U.S. sandy coastlines: , https://doi.org/10.5066/F7GF0S0Z.
Long, J.W.; Henderson, R.E.; Thompson, D.M., 2020, Forecasting future beach width-A case study along the Florida Atlantic coast: , 20, https://doi.org/10.3133/ofr20191150.
Plant, N.G.; Smith, K.E.L.; Passeri, D.L.; Smith, C.G.; Bernier, J.C., 2018, Barrier-island and estuarine-wetland physical-change assessment after Hurricane Sandy: , 45, https://doi.org/10.3133/ofr20171157.
Stockdon, H.F.; Long, J.W.; Palmsten, M.L.; Van der Westhuysen, A.; Doran, K.S.; Snell, R.J., 2023, Operational forecasts of wave-driven water levels and coastal hazards for US Gulf and Atlantic coasts: Communications Earth & Environment 4:1, 169, https://doi.org/10.1038/s43247-023-00817-2.
(Abstract)
Predictions of total water levels, the elevation of combined tides, surge, and wave runup at the shoreline, are necessary to provide guidance on potential coastal erosion and flooding. Despite the importance of early warning systems for these hazards, existing real-time meteorological and oceanographic forecast systems at regional and national scales, until now, have lacked estimates of runup necessary to predict wave-driven overwash and erosion. To address this need, we present an approach that includes wave runup in an operational, national-scale modeling system. Using this system, we quantify the contribution of waves to potential dune erosion events along 4,700?km of U.S. Atlantic and Gulf of Mexico sandy coastlines for a one-year period. Dune erosion events were predicted to occur at over 80% of coastal locations, where waves dominated shoreline total water levels, representing 73% of the signal. This shows that models that neglect the wave component underestimate the hazard. This new, national-scale operational modeling system provides communities with timely, local-scale (0.5?km resolution) coastal hazard warnings for all wave conditions, allowing for rapid decision-making related to safety and emergency management. The modeling system also enables continued research into wave-driven processes at a broad range of coastal areas.
