Dataset: Sea Level Rise Model Output/Palau/East Palau Wave-Driven Sea Level Rise Model
Data format: netCDF
Data type: GRID
Naming Authority: org.pacioos
ID: slr_eastpalau
Documentation:
summary: A new modeling approach was implemented to simulate wave-induced coastal inundation. Using the Boussinesq Approach of Rapid Runup Assessment with CUDA (BARRACUDA), a Boussinesq phase-resolving model, we simulated overland inundation depths under selected combinations of wave scenarios, the presence or absence of mangrove vegetation, and projected long-term sea level rise (SLR). The simulations represent three wave scenarios: (i) No Waves (Static), (ii) Annual High Wave Flooding, and (iii) Historic High Wave Flooding, using wave data extracted from Typhoon Bopha (2012). Furthermore, wave-driven flooding is simulated with and without the presence of mangroves to assess mangrove attenuation effects. All simulations are repeated under sea level rise (SLR) projections ranging from 0 to 10 feet (3m), in 1-foot increments. Modeling was carried out over a high-resolution digital elevation model (DEM) using topobathymetric LiDAR data from the Office of Palau Automated Land and Resources Information System (PALARIS). Flooding depths are computed relative to Mean Higher High Water (MHHW), derived from tide gauge observations at Malakal, Koror. Results are gridded at 5-m resolution and span the eastern coastline of Babeldaob Island in the Republic of Palau, from Ngerechur Island on the northern tip of Ngarchelong State southwards to Tabrengesang Park in Ngchesar State.
rights: 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.
funding: The Pacific Islands Ocean Observing System (PacIOOS) is funded through the National Oceanic and Atmospheric Administration (NOAA) as a Regional Association within the U.S. Integrated Ocean Observing System (IOOS). PacIOOS is coordinated by the University of Hawaii School of Ocean and Earth Science and Technology (SOEST).
