slr_eastpalau eng UTF8 dataset service Fatima-Zahra Mihami University of Hawaii at Manoa fzmihami@hawaii.edu https://orcid.org/0000-0002-0930-0232 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information pointOfContact 2026-04-08 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2 column 0.3257 0.000045 row 0.0773 0.000045 area Wave-Driven Sea Level Rise Inundation: Palau: East Babeldaob 2026-03-16 creation 2026-03-16 issued 2026-03-16 revision org.pacioos slr_eastpalau Fatima-Zahra Mihami University of Hawaii at Manoa fzmihami@hawaii.edu https://orcid.org/0000-0002-0930-0232 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information originator Assaf Azouri University of Hawaii at Manoa assaf@hawaii.edu https://orcid.org/0009-0006-2362-0140 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information originator Douglas S. Luther University of Hawaii at Manoa dluther@hawaii.edu http://www.soest.hawaii.edu/oceanography/dluther/ http web browser information https://orcid.org/0000-0003-0913-8260 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information principalInvestigator Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information https://ror.org/04j9xr266 http web browser Research Organization Registry (ROR) Identifier information publisher This dataset presents high-resolution simulations of wave-driven coastal flooding under sea level rise (SLR) along the eastern coast of Babeldaob Island, Palau. The study area extends from Ngerechur Island (Ngarchelong State) to Tabrengesang Park (Ngchesar State). Flood depths were computed using a Boussinesq-type phase-resolving model (BARRACUDA: Boussinesq Approach for Rapid Runup Assessment with CUDA; Mihami and Roeber, 2026), which simulates inundation over land under combined wave forcing and SLR. Three wave scenarios are included: (a) no wave flooding (static or "bathtub" flooding), (b) annual high wave flooding (representative of recurring energetic wave conditions), and (c) maximum wave flooding (extreme event based on Typhoon Bopha, 2012). All cases are evaluated across SLR increments from 0 to 10 ft (3 m) in 1-ft steps. To assess mangrove attenuation effects, each simulation is run with and without mangrove forests, resulting in 55 total layers. Wave simulations were conducted over a digital elevation model (DEM) derived from 1-m topobathymetric lidar data from the Palau Automated Land and Resources Information System (PALARIS), resampled to a 5-m by 5-m grid resolution for computational efficiency. Flood depths are referenced to Mean Higher High Water (MHHW), derived from tide gauge observations at Malakal, Koror (accessed from the University of Hawaii Sea Level Center (UHSLC)), which also serves as the background water level in the simulations. PacIOOS provides timely, reliable, and accurate ocean information to support a safe, clean, productive ocean and resilient coastal zone in the U.S. Pacific Islands region. 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). Fatima-Zahra Mihami University of Hawaii at Manoa fzmihami@hawaii.edu https://orcid.org/0000-0002-0930-0232 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information pointOfContact http://pacioos.org/metadata/browse/slr_eastpalau.png Sample image. Earth Science Services > Models > Ocean General Circulation Models (OGCM)/Regional Ocean Models Earth Science Services > Models > Weather Research/Forecast Models Earth Science > Human Dimensions > Environmental Impacts Earth Science > Human Dimensions > Natural Hazards > Floods Earth Science > Oceans > Coastal Processes > Sea Level Rise Earth Science > Oceans > Ocean Waves > Wave Runup theme GCMD Science Keywords Models/Analyses > > Models theme GCMD Platform Keywords Not Applicable > Not Applicable theme GCMD Instrument Keywords Ocean > Pacific Ocean > Western Pacific Ocean > Palau > Babeldaob place GCMD Location Keywords PacIOOS > Pacific Islands Ocean Observing System project GCMD Project Keywords PacIOOS > Pacific Islands Ocean Observing System dataCenter GCMD Data Center Keywords flood_water_thickness longitude latitude height theme CF Standard Name Table v39 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. Pacific Islands Ocean Observing System (PacIOOS) largerWorkCitation project Unidata Common Data Model Grid largerWorkCitation project eng oceans 1 134.5993 134.6766 7.4421 7.7678 Wave-Driven Sea Level Rise Inundation: Palau: East Babeldaob 2026-03-16 creation 2026-03-16 issued 2026-03-16 revision Fatima-Zahra Mihami University of Hawaii at Manoa fzmihami@hawaii.edu https://orcid.org/0000-0002-0930-0232 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information originator Assaf Azouri University of Hawaii at Manoa assaf@hawaii.edu https://orcid.org/0009-0006-2362-0140 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information originator Douglas S. Luther University of Hawaii at Manoa dluther@hawaii.edu http://www.soest.hawaii.edu/oceanography/dluther/ http web browser information https://orcid.org/0000-0003-0913-8260 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information principalInvestigator Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information https://ror.org/04j9xr266 http web browser Research Organization Registry (ROR) Identifier information publisher This dataset presents high-resolution simulations of wave-driven coastal flooding under sea level rise (SLR) along the eastern coast of Babeldaob Island, Palau. The study area extends from Ngerechur Island (Ngarchelong State) to Tabrengesang Park (Ngchesar State). Flood depths were computed using a Boussinesq-type phase-resolving model (BARRACUDA: Boussinesq Approach for Rapid Runup Assessment with CUDA; Mihami and Roeber, 2026), which simulates inundation over land under combined wave forcing and SLR. Three wave scenarios are included: (a) no wave flooding (static or "bathtub" flooding), (b) annual high wave flooding (representative of recurring energetic wave conditions), and (c) maximum wave flooding (extreme event based on Typhoon Bopha, 2012). All cases are evaluated across SLR increments from 0 to 10 ft (3 m) in 1-ft steps. To assess mangrove attenuation effects, each simulation is run with and without mangrove forests, resulting in 55 total layers. Wave simulations were conducted over a digital elevation model (DEM) derived from 1-m topobathymetric lidar data from the Palau Automated Land and Resources Information System (PALARIS), resampled to a 5-m by 5-m grid resolution for computational efficiency. Flood depths are referenced to Mean Higher High Water (MHHW), derived from tide gauge observations at Malakal, Koror (accessed from the University of Hawaii Sea Level Center (UHSLC)), which also serves as the background water level in the simulations. THREDDS OPeNDAP 1 134.5993 134.6766 7.4421 7.7678 tight OPeNDAP Client Access https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/slr_eastpalau OPeNDAP:OPeNDAP OPeNDAP THREDDS OPeNDAP download Wave-Driven Sea Level Rise Inundation: Palau: East Babeldaob 2026-03-16 creation 2026-03-16 issued 2026-03-16 revision Fatima-Zahra Mihami University of Hawaii at Manoa fzmihami@hawaii.edu https://orcid.org/0000-0002-0930-0232 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information originator Assaf Azouri University of Hawaii at Manoa assaf@hawaii.edu https://orcid.org/0009-0006-2362-0140 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information originator Douglas S. Luther University of Hawaii at Manoa dluther@hawaii.edu http://www.soest.hawaii.edu/oceanography/dluther/ http web browser information https://orcid.org/0000-0003-0913-8260 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information principalInvestigator Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information https://ror.org/04j9xr266 http web browser Research Organization Registry (ROR) Identifier information publisher This dataset presents high-resolution simulations of wave-driven coastal flooding under sea level rise (SLR) along the eastern coast of Babeldaob Island, Palau. The study area extends from Ngerechur Island (Ngarchelong State) to Tabrengesang Park (Ngchesar State). Flood depths were computed using a Boussinesq-type phase-resolving model (BARRACUDA: Boussinesq Approach for Rapid Runup Assessment with CUDA; Mihami and Roeber, 2026), which simulates inundation over land under combined wave forcing and SLR. Three wave scenarios are included: (a) no wave flooding (static or "bathtub" flooding), (b) annual high wave flooding (representative of recurring energetic wave conditions), and (c) maximum wave flooding (extreme event based on Typhoon Bopha, 2012). All cases are evaluated across SLR increments from 0 to 10 ft (3 m) in 1-ft steps. To assess mangrove attenuation effects, each simulation is run with and without mangrove forests, resulting in 55 total layers. Wave simulations were conducted over a digital elevation model (DEM) derived from 1-m topobathymetric lidar data from the Palau Automated Land and Resources Information System (PALARIS), resampled to a 5-m by 5-m grid resolution for computational efficiency. Flood depths are referenced to Mean Higher High Water (MHHW), derived from tide gauge observations at Malakal, Koror (accessed from the University of Hawaii Sea Level Center (UHSLC)), which also serves as the background water level in the simulations. Open Geospatial Consortium Web Map Service (WMS) 1 134.5993 134.6766 7.4421 7.7678 tight GetCapabilities https://pae-paha.pacioos.hawaii.edu/thredds/wms/slr_eastpalau?service=WMS&version=1.3.0&request=GetCapabilities OGC:WMS OGC-WMS Open Geospatial Consortium Web Map Service (WMS) download Wave-Driven Sea Level Rise Inundation: Palau: East Babeldaob 2026-03-16 creation 2026-03-16 issued 2026-03-16 revision Fatima-Zahra Mihami University of Hawaii at Manoa fzmihami@hawaii.edu https://orcid.org/0000-0002-0930-0232 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information originator Assaf Azouri University of Hawaii at Manoa assaf@hawaii.edu https://orcid.org/0009-0006-2362-0140 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information originator Douglas S. Luther University of Hawaii at Manoa dluther@hawaii.edu http://www.soest.hawaii.edu/oceanography/dluther/ http web browser information https://orcid.org/0000-0003-0913-8260 http web browser Open Researcher and Contributor ID (ORCID) Identifier information https://ror.org/01wspgy28 http web browser Research Organization Registry (ROR) Identifier information principalInvestigator Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information https://ror.org/04j9xr266 http web browser Research Organization Registry (ROR) Identifier information publisher This dataset presents high-resolution simulations of wave-driven coastal flooding under sea level rise (SLR) along the eastern coast of Babeldaob Island, Palau. The study area extends from Ngerechur Island (Ngarchelong State) to Tabrengesang Park (Ngchesar State). Flood depths were computed using a Boussinesq-type phase-resolving model (BARRACUDA: Boussinesq Approach for Rapid Runup Assessment with CUDA; Mihami and Roeber, 2026), which simulates inundation over land under combined wave forcing and SLR. Three wave scenarios are included: (a) no wave flooding (static or "bathtub" flooding), (b) annual high wave flooding (representative of recurring energetic wave conditions), and (c) maximum wave flooding (extreme event based on Typhoon Bopha, 2012). All cases are evaluated across SLR increments from 0 to 10 ft (3 m) in 1-ft steps. To assess mangrove attenuation effects, each simulation is run with and without mangrove forests, resulting in 55 total layers. Wave simulations were conducted over a digital elevation model (DEM) derived from 1-m topobathymetric lidar data from the Palau Automated Land and Resources Information System (PALARIS), resampled to a 5-m by 5-m grid resolution for computational efficiency. Flood depths are referenced to Mean Higher High Water (MHHW), derived from tide gauge observations at Malakal, Koror (accessed from the University of Hawaii Sea Level Center (UHSLC)), which also serves as the background water level in the simulations. THREDDS NetCDF Subset Service 1 134.5993 134.6766 7.4421 7.7678 tight NetCDFSubsetService https://pae-paha.pacioos.hawaii.edu/thredds/ncss/slr_eastpalau/dataset.html UNIDATA:NCSS THREDDS_NetCDF_Subset THREDDS NetCDF Subset Service download flood_annual_mangroves double flood depth: annual extreme wave (with mangroves) flood_annual_no_mangroves double flood depth: annual extreme wave (with no mangroves) flood_historic_mangroves double flood depth: historic highest wave (with mangroves) flood_historic_no_mangroves double flood depth: historic highest wave (with no mangroves) flood_static double flood depth: static slr_feet int sea level rise (SLR) scenario topobathy double topography and bathymetry lon double longitude lat double latitude Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information https://ror.org/04j9xr266 http web browser Research Organization Registry (ROR) Identifier information publisher OPeNDAP DAP/2.0 https://pae-paha.pacioos.hawaii.edu/thredds/slr_mod.html?dataset=slr_eastpalau UNIDATA:THREDDS THREDDS Catalog This URL provides a catalog page for this dataset within THREDDS Data Server (TDS). download https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/slr_eastpalau.html http File Information This URL provides a standard OPeNDAP html interface for selecting data from this dataset. Change the extension to .info for a description of the dataset. download http://www.pacioos.hawaii.edu/shoreline/slr-eastpalau/ http PacIOOS East Babeldaob, Palau Wave-Driven Flooding With Sea Level Rise This URL provides a viewer and/or data access for this dataset. download https://pae-paha.pacioos.hawaii.edu/erddap/griddap/slr_eastpalau ERDDAP:griddap ERDDAP This URL provides a viewer and/or data access for this dataset. download https://doi.org/10.1016/j.coastaleng.2025.104880 http Related URL This URL provides additional information related to this dataset in the following publication: Mihami, F.-Z. and V. Roeber. 2026. Exploring a conservative staggered scheme for Boussinesq-type equations: Insights into numerical diffusion, dispersion, and wave-breaking. Coastal Engineering 204. information dataset 2026-03-16T22:00:00Z Initial production release. This record was translated from NcML using UnidataDD2MI.xsl Version 2.3.