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Low-lying tropical coasts fronted by coral reefs are threatened by the effects of climate change, sea-level rise, and flooding caused by waves. However, the reefs on these coasts differ widely in their shape, size, and physical characteristics; the wave and water level conditions affecting these coastlines also vary in space and time. These factors make it difficult to predict flooding caused by waves along coral reef-lined coasts. We created a system (“BEWARE”) that estimates how different wave, water level, and reef combinations can lead to flooding. This tool tells us what information is needed to make good predictions of flooding. BEWARE can be used to make short-term predictions of flooding in early warning systems, or long-term predictions of how climate change will affect flooding caused by waves on coral reef-lined coasts.
Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
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Are there legal restrictions on access or use of the data?Access_Constraints: None
Use_Constraints:USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge Deltares, the U.S. Geological Survey, and TU Delft as the originators of the dataset and in products derived from these data.
Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.
Data format: | Zip file contains XBeach numerical model data in NetCDF format. in format NetCDF (version MATLAB R2016) Size: 43.9 |
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https://www.sciencebase.gov/catalog/file/get/59c452c3e4b017cf313bea5c https://doi.org/10.5066/F7T43S20 |