Sea Level Rise: American Samoa: High-Tide Flooding: 10-Ft Scenario
This high-tide flooding layer provides a prediction of future sea level rise (SLR) inundation and was produced using a passive flooding model, often referred to as a "bathtub" model. It provides an assessment of flooded areas according to a specific water level. As an alternative to the SLR scenarios in other data layers that we provide, our project also provides the ability to select specific amounts of SLR in increments of one foot, independent of any particular scenario. This information can be used if guidance for a project requires planning for a specific amount of SLR rather than a time horizon. The present layer models a sea level rise of 10 feet (305 cm).
We apply this model to the 2022 National Geodetic Survey (NGS) lidar DEM for American Samoa with 1-meter resolution. The DEM was leveled from NAD83 (PA11) to mean higher high water at 0 m (MHHW=0) in 2005. The adjustment of the DEM may lead to inaccuracies due to the lack of historic information. It is also important to acknowledge that any inaccuracies in the DEM will lead to inaccuracies in the flooding estimates.
Flood depth is provided in centimeters above the 2005 mean higher high water (MHHW) tide level.
It is essential to emphasize that the passive flooding model used to produce this data layer does not include the effects of waves on flooding. As a result, the extent and impacts of future flooding under high-wave conditions are not represented, which should be accounted for in planning efforts. In addition, the DEM is assumed to be unchanged as sea level rises, but in fact there will be erosion and changes in the shape of the land surface, and continued subsidence. This also must be considered, and it is best practice to consider any flooding extent or depth represented in this data layer as a best-case scenario, with the effects of dynamic shoreline processes leading to greater flood extent and depth than presented.
Données et ressources
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This URL provides access to this dataset via GeoServer, which offers multiple output formats and an OpenLayers viewer.HTML Ouvrir
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This URL provides a viewer and/or data access for this dataset.HTML Ouvrir
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NOAA National Geodetic Survey (NGS). 2022. NOAA NGS Topobathy Lidar DEM of Ofu and Olosega, American Samoa. NOAA National Centers for Environmental Information…HTML Ouvrir
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NOAA National Geodetic Survey (NGS). 2022. NOAA NGS Topobathy Lidar DEM of Rose Atoll, American Samoa. NOAA National Centers for Environmental Information…HTML Ouvrir
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NOAA National Geodetic Survey (NGS). 2022. NOAA NGS Topobathy Lidar DEM of Swains Island, American Samoa. NOAA National Centers for Environmental Information…HTML Ouvrir
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NOAA National Geodetic Survey (NGS). 2022. NOAA NGS Topobathy Lidar DEM of Ta'u, American Samoa. NOAA National Centers for Environmental Information (NCEI).HTML Ouvrir
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NOAA National Geodetic Survey (NGS). 2022. NOAA NGS Topobathy Lidar DEM of Tutuila, American Samoa. NOAA National Centers for Environmental Information (NCEI).HTML Ouvrir
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Open Geospatial Consortium Web Feature Service (WFS). Supported WFS versions include 1.0.0, 1.1.0, and 2.0.0. Supported output formats include CSV, GeoJSON,…WFS Ouvrir
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Open Geospatial Consortium Web Map Service (WMS). Supported WMS versions include 1.1.1 and 1.3.0. Supported map formats include AtomPub, GeoRSS, GeoTIFF, GIF,…WMS Ouvrir
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Open Geospatial Consortium Web Map Service - Cached (WMS-C). Use of WMS-C is similar to traditional WMS but with the addition of the "tiled=true" parameter,…WMS Ouvrir
Informations supplémentaires
| Date (creation) | 2023-09-26 |
|---|---|
| Date (issued) | 2023-09-26 |
| Date (revision) | 2026-08-14 |
| Statut | onGoing |
| Fréquence de mise à jour | asNeeded |
| Langue des métadonnées | en |
| Licence | This data layer provides a scientific prediction of potential future conditions from flooding due to sea level rise. The methodology is based on published, peer-reviewed techniques. However, as with any forecast, accuracy cannot be guaranteed and actual impacts may vary from these predictions. While considerable effort has been made to implement all components in a thorough, correct, and accurate manner, errors are still possible. The results are provided without warranty of any kind. The risks associated with use or non-use of the results are assumed by the user. The data may be used and redistributed for free but is not intended for legal use, since it may contain inaccuracies. Neither the data Contributor, University of Hawaii, PacIOOS, NOAA, State of Hawaii nor the United States Government, nor any of their employees or contractors, makes any warranty, express or implied, including warranties of merchantability and fitness for a particular purpose, or assumes any legal liability for the accuracy, completeness, or usefulness, of this information. |
| Métadonnées sources | ISO 19115 XML |
| Dernière mise à jour | 2026-11-04 |
| Créé | 2026-11-04 |
| API | package_show |