Storm-Induced Coastal Change Forecasts: Archive of Individual Storm Events
June 18, 2019
These data sets contain information on the probabilities of storm-induced erosion (collision, inundation and overwash) on sandy beaches along the U.S. Gulf and Atlantic coasts during real-time peak forecast conditions. The analysis is based on a storm-impact scaling model that uses observations of beach morphology combined with sophisticated hydrodynamic models to predict how the coast will respond to storm events. Storm-induced water levels, due to both surge and waves, are compared to beach and dune elevations to determine the probabilities of three types of coastal change: collision (dune erosion), overwash, and inundation. Data on dune morphology (dune crest and toe elevation) and hydrodynamics (storm surge, wave setup and runup) are also included in this data set. The data presented here include the dune morphology observations, as derived from lidar surveys. For further information regarding data collection and/or processing methods refer to USGS Open-File Report 2012-1084 (https://doi.org/10.3133/ofr20121084).
Citation Information
Publication Year | 2019 |
---|---|
Title | Storm-Induced Coastal Change Forecasts: Archive of Individual Storm Events |
DOI | 10.5066/P9Z362BC |
Authors | Kara S Doran, Justin J Birchler, Heather A Schreppel, Hilary F Stockdon, David M Thompson |
Product Type | Data Release |
Record Source | USGS Asset Identifier Service (AIS) |
USGS Organization | St. Petersburg Coastal and Marine Science Center |
Rights | This work is marked with CC0 1.0 Universal |
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Kara Doran
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Justin Birchler
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Heather A Schreppel
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David Thompson
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Kara Doran
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Justin Birchler
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Heather A Schreppel
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David Thompson
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