bosz_westmaui eng UTF8 dataset service Assaf Azouri University of Hawaii at Manoa assaf@hawaii.edu pointOfContact 2022-08-11 ISO 19115-2 Geographic Information - Metadata Part 2 Extensions for imagery and gridded data ISO 19115-2:2009(E) 2 column 6630 0.000045 row 4568 0.000045 area BOSZ Wave-Driven Sea Level Rise Inundation: West Maui 2022-08-11 creation 2022-08-11 issued 2022-08-11 revision org.pacioos bosz_westmaui Assaf Azouri University of Hawaii at Manoa assaf@hawaii.edu originator Martin Guiles University of Hawaii at Manoa guiles@hawaii.edu http://www2.hawaii.edu/~guiles/ http web browser information originator Douglas S. Luther University of Hawaii at Manoa dluther@hawaii.edu http://www.soest.hawaii.edu/oceanography/dluther/ http web browser information principalInvestigator Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information publisher A new modeling approach was implemented here to simulate wave-induced coastal inundation. Using the Boussinesq Ocean and Surf Zone (BOSZ) phase-resolving model, we produced simulations of inundation depth over land for selected combinations of swell amplitudes and directions under different water levels (WLs) that are controlled by the astronomical tides, long-period anomalies (hereafter, will be referred to as background WL), and long-term sea level rise (SLR). The simulations represent three scenarios: (i) Minimum Wave Flooding (minimal swell and high background WL); (ii) Annual High Wave Flooding (large swell and high background WL), and; (iii) Maximum Wave Flooding (largest swell and highest background WL). Simulations for the above three scenarios are repeated for the following SLR projections: 0.0 m; 0.3 m (1 ft); 0.6 m (2 ft); 1.0 m (3.3 ft), and; 2.0 m (6.6 ft). Modeling was carried out over a high-resolution two-dimensional digital elevation model (DEM) that was created by blending the following DEM grids: (i) Lidar data from a 2013 survey by USACE (cloud data with resolution on the order of meters), plus Lidar data from a 2000 survey by USACE (cloud data with resolution on the order of meters; used only to fill certain data gaps found in the 2013 Lidar survey), and; (ii) multibeam bathymetry data from the Hawaii Mapping Research Group (50-m resolution). Results are gridded at 5-m resolution and span the coastline of West Maui, Hawaii. 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). Assaf Azouri University of Hawaii at Manoa assaf@hawaii.edu pointOfContact http://pacioos.org/metadata/browse/bosz_westmaui.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 Continent > North America > United States Of America > Hawaii Ocean > Pacific Ocean > Central Pacific Ocean > Hawaiian Islands > Maui > West Maui 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 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 -156.7489 -156.5432 20.7511 21.0497 BOSZ Wave-Driven Sea Level Rise Inundation: West Maui 2022-08-11 creation 2022-08-11 issued 2022-08-11 revision Assaf Azouri University of Hawaii at Manoa assaf@hawaii.edu originator Martin Guiles University of Hawaii at Manoa guiles@hawaii.edu http://www2.hawaii.edu/~guiles/ http web browser information originator Douglas S. Luther University of Hawaii at Manoa dluther@hawaii.edu http://www.soest.hawaii.edu/oceanography/dluther/ http web browser information principalInvestigator Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information publisher A new modeling approach was implemented here to simulate wave-induced coastal inundation. Using the Boussinesq Ocean and Surf Zone (BOSZ) phase-resolving model, we produced simulations of inundation depth over land for selected combinations of swell amplitudes and directions under different water levels (WLs) that are controlled by the astronomical tides, long-period anomalies (hereafter, will be referred to as background WL), and long-term sea level rise (SLR). The simulations represent three scenarios: (i) Minimum Wave Flooding (minimal swell and high background WL); (ii) Annual High Wave Flooding (large swell and high background WL), and; (iii) Maximum Wave Flooding (largest swell and highest background WL). Simulations for the above three scenarios are repeated for the following SLR projections: 0.0 m; 0.3 m (1 ft); 0.6 m (2 ft); 1.0 m (3.3 ft), and; 2.0 m (6.6 ft). Modeling was carried out over a high-resolution two-dimensional digital elevation model (DEM) that was created by blending the following DEM grids: (i) Lidar data from a 2013 survey by USACE (cloud data with resolution on the order of meters), plus Lidar data from a 2000 survey by USACE (cloud data with resolution on the order of meters; used only to fill certain data gaps found in the 2013 Lidar survey), and; (ii) multibeam bathymetry data from the Hawaii Mapping Research Group (50-m resolution). Results are gridded at 5-m resolution and span the coastline of West Maui, Hawaii. THREDDS OPeNDAP 1 -156.7489 -156.5432 20.7511 21.0497 tight OPeNDAP Client Access https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/bosz_westmaui OPeNDAP:OPeNDAP OPeNDAP THREDDS OPeNDAP download BOSZ Wave-Driven Sea Level Rise Inundation: West Maui 2022-08-11 creation 2022-08-11 issued 2022-08-11 revision Assaf Azouri University of Hawaii at Manoa assaf@hawaii.edu originator Martin Guiles University of Hawaii at Manoa guiles@hawaii.edu http://www2.hawaii.edu/~guiles/ http web browser information originator Douglas S. Luther University of Hawaii at Manoa dluther@hawaii.edu http://www.soest.hawaii.edu/oceanography/dluther/ http web browser information principalInvestigator Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information publisher A new modeling approach was implemented here to simulate wave-induced coastal inundation. Using the Boussinesq Ocean and Surf Zone (BOSZ) phase-resolving model, we produced simulations of inundation depth over land for selected combinations of swell amplitudes and directions under different water levels (WLs) that are controlled by the astronomical tides, long-period anomalies (hereafter, will be referred to as background WL), and long-term sea level rise (SLR). The simulations represent three scenarios: (i) Minimum Wave Flooding (minimal swell and high background WL); (ii) Annual High Wave Flooding (large swell and high background WL), and; (iii) Maximum Wave Flooding (largest swell and highest background WL). Simulations for the above three scenarios are repeated for the following SLR projections: 0.0 m; 0.3 m (1 ft); 0.6 m (2 ft); 1.0 m (3.3 ft), and; 2.0 m (6.6 ft). Modeling was carried out over a high-resolution two-dimensional digital elevation model (DEM) that was created by blending the following DEM grids: (i) Lidar data from a 2013 survey by USACE (cloud data with resolution on the order of meters), plus Lidar data from a 2000 survey by USACE (cloud data with resolution on the order of meters; used only to fill certain data gaps found in the 2013 Lidar survey), and; (ii) multibeam bathymetry data from the Hawaii Mapping Research Group (50-m resolution). Results are gridded at 5-m resolution and span the coastline of West Maui, Hawaii. Open Geospatial Consortium Web Map Service (WMS) 1 -156.7489 -156.5432 20.7511 21.0497 tight GetCapabilities https://pae-paha.pacioos.hawaii.edu/thredds/wms/bosz_westmaui?service=WMS&version=1.3.0&request=GetCapabilities OGC:WMS OGC-WMS Open Geospatial Consortium Web Map Service (WMS) download BOSZ Wave-Driven Sea Level Rise Inundation: West Maui 2022-08-11 creation 2022-08-11 issued 2022-08-11 revision Assaf Azouri University of Hawaii at Manoa assaf@hawaii.edu originator Martin Guiles University of Hawaii at Manoa guiles@hawaii.edu http://www2.hawaii.edu/~guiles/ http web browser information originator Douglas S. Luther University of Hawaii at Manoa dluther@hawaii.edu http://www.soest.hawaii.edu/oceanography/dluther/ http web browser information principalInvestigator Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information publisher A new modeling approach was implemented here to simulate wave-induced coastal inundation. Using the Boussinesq Ocean and Surf Zone (BOSZ) phase-resolving model, we produced simulations of inundation depth over land for selected combinations of swell amplitudes and directions under different water levels (WLs) that are controlled by the astronomical tides, long-period anomalies (hereafter, will be referred to as background WL), and long-term sea level rise (SLR). The simulations represent three scenarios: (i) Minimum Wave Flooding (minimal swell and high background WL); (ii) Annual High Wave Flooding (large swell and high background WL), and; (iii) Maximum Wave Flooding (largest swell and highest background WL). Simulations for the above three scenarios are repeated for the following SLR projections: 0.0 m; 0.3 m (1 ft); 0.6 m (2 ft); 1.0 m (3.3 ft), and; 2.0 m (6.6 ft). Modeling was carried out over a high-resolution two-dimensional digital elevation model (DEM) that was created by blending the following DEM grids: (i) Lidar data from a 2013 survey by USACE (cloud data with resolution on the order of meters), plus Lidar data from a 2000 survey by USACE (cloud data with resolution on the order of meters; used only to fill certain data gaps found in the 2013 Lidar survey), and; (ii) multibeam bathymetry data from the Hawaii Mapping Research Group (50-m resolution). Results are gridded at 5-m resolution and span the coastline of West Maui, Hawaii. THREDDS NetCDF Subset Service 1 -156.7489 -156.5432 20.7511 21.0497 tight NetCDFSubsetService https://pae-paha.pacioos.hawaii.edu/thredds/ncss/bosz_westmaui/dataset.html UNIDATA:NCSS THREDDS_NetCDF_Subset THREDDS NetCDF Subset Service download flood_m1a double flood depth: combined minimum swell, WL 0.4m, SLR 0.0m (flood_water_thickness) flood_m1b double flood depth: combined minimum swell, WL 0.4m, SLR 0.3m (flood_water_thickness) flood_m1c double flood depth: combined minimum swell, WL 0.4m, SLR 0.6m (flood_water_thickness) flood_m1d double flood depth: combined minimum swell, WL 0.4m, SLR 1.0m (flood_water_thickness) flood_m1e double flood depth: combined minimum swell, WL 0.4m, SLR 2.0m (flood_water_thickness) flood_m2a double flood depth: combined annual high swell, WL 0.4m, SLR 0.0m (flood_water_thickness) flood_m2b double flood depth: combined annual high swell, WL 0.4m, SLR 0.3m (flood_water_thickness) flood_m2c double flood depth: combined annual high swell, WL 0.4m, SLR 0.6m (flood_water_thickness) flood_m2d double flood depth: combined annual high swell, WL 0.4m, SLR 1.0m (flood_water_thickness) flood_m2e double flood depth: combined annual high swell, WL 0.4m, SLR 2.0m (flood_water_thickness) flood_m3a double flood depth: combined maximum swell, WL 0.9m, SLR 0.0m (flood_water_thickness) flood_m3b double flood depth: combined maximum swell, WL 0.9m, SLR 0.3m (flood_water_thickness) flood_m3c double flood depth: combined maximum swell, WL 0.9m, SLR 0.6m (flood_water_thickness) flood_m3d double flood depth: combined maximum swell, WL 0.9m, SLR 1.0m (flood_water_thickness) flood_m3e double flood depth: combined maximum swell, WL 0.9m, SLR 2.0m (flood_water_thickness) flood_n1p1a double flood depth: Hs 0.6m 358d 14s, WL 0.4m, SLR 0.0m (flood_water_thickness) flood_n1p1b double flood depth: Hs 0.6m 358d 14s, WL 0.4m, SLR 0.3m (flood_water_thickness) flood_n1p1c double flood depth: Hs 0.6m 358d 14s, WL 0.4m, SLR 0.6m (flood_water_thickness) flood_n1p1d double flood depth: Hs 0.6m 358d 14s, WL 0.4m, SLR 1.0m (flood_water_thickness) flood_n1p1e double flood depth: Hs 0.6m 358d 14s, WL 0.4m, SLR 2.0m (flood_water_thickness) flood_n2p1a double flood depth: Hs 4.0m 358d 14s, WL 0.4m, SLR 0.0m (flood_water_thickness) flood_n2p1b double flood depth: Hs 4.0m 358d 14s, WL 0.4m, SLR 0.3m (flood_water_thickness) flood_n2p1c double flood depth: Hs 4.0m 358d 14s, WL 0.4m, SLR 0.6m (flood_water_thickness) flood_n2p1d double flood depth: Hs 4.0m 358d 14s, WL 0.4m, SLR 1.0m (flood_water_thickness) flood_n2p1e double flood depth: Hs 4.0m 358d 14s, WL 0.4m, SLR 2.0m (flood_water_thickness) flood_n2p2a double flood depth: Hs 4.0m 326d 17s, WL 0.4m, SLR 0.0m (flood_water_thickness) flood_n2p2b double flood depth: Hs 4.0m 326d 17s, WL 0.4m, SLR 0.3m (flood_water_thickness) flood_n2p2c double flood depth: Hs 4.0m 326d 17s, WL 0.4m, SLR 0.6m (flood_water_thickness) flood_n2p2d double flood depth: Hs 4.0m 326d 17s, WL 0.4m, SLR 1.0m (flood_water_thickness) flood_n2p2e double flood depth: Hs 4.0m 326d 17s, WL 0.4m, SLR 2.0m (flood_water_thickness) flood_n3p1a double flood depth: Hs 7.7m 358d 14s, WL 0.9m, SLR 0.0m (flood_water_thickness) flood_n3p1b double flood depth: Hs 7.7m 358d 14s, WL 0.9m, SLR 0.3m (flood_water_thickness) flood_n3p1c double flood depth: Hs 7.7m 358d 14s, WL 0.9m, SLR 0.6m (flood_water_thickness) flood_n3p1d double flood depth: Hs 7.7m 358d 14s, WL 0.9m, SLR 1.0m (flood_water_thickness) flood_n3p1e double flood depth: Hs 7.7m 358d 14s, WL 0.9m, SLR 2.0m (flood_water_thickness) flood_n3p2a double flood depth: Hs 7.7m 326d 17s, WL 0.9m, SLR 0.0m (flood_water_thickness) flood_n3p2b double flood depth: Hs 7.7m 326d 17s, WL 0.9m, SLR 0.3m (flood_water_thickness) flood_n3p2c double flood depth: Hs 7.7m 326d 17s, WL 0.9m, SLR 0.6m (flood_water_thickness) flood_n3p2d double flood depth: Hs 7.7m 326d 17s, WL 0.9m, SLR 1.0m (flood_water_thickness) flood_n3p2e double flood depth: Hs 7.7m 326d 17s, WL 0.9m, SLR 2.0m (flood_water_thickness) flood_s1p1a double flood depth: Hs 0.4m 195d 17s, WL 0.4m, SLR 0.0m (flood_water_thickness) flood_s1p1b double flood depth: Hs 0.4m 195d 17s, WL 0.4m, SLR 0.3m (flood_water_thickness) flood_s1p1c double flood depth: Hs 0.4m 195d 17s, WL 0.4m, SLR 0.6m (flood_water_thickness) flood_s1p1d double flood depth: Hs 0.4m 195d 17s, WL 0.4m, SLR 1.0m (flood_water_thickness) flood_s1p1e double flood depth: Hs 0.4m 195d 17s, WL 0.4m, SLR 2.0m (flood_water_thickness) flood_s2p1a double flood depth: Hs 1.4m 195d 17s, WL 0.4m, SLR 0.0m (flood_water_thickness) flood_s2p1b double flood depth: Hs 1.4m 195d 17s, WL 0.4m, SLR 0.3m (flood_water_thickness) flood_s2p1c double flood depth: Hs 1.4m 195d 17s, WL 0.4m, SLR 0.6m (flood_water_thickness) flood_s2p1d double flood depth: Hs 1.4m 195d 17s, WL 0.4m, SLR 1.0m (flood_water_thickness) flood_s2p1e double flood depth: Hs 1.4m 195d 17s, WL 0.4m, SLR 2.0m (flood_water_thickness) flood_s2p2a double flood depth: Hs 1.4m 185d 14s, WL 0.4m, SLR 0.0m (flood_water_thickness) flood_s2p2b double flood depth: Hs 1.4m 185d 14s, WL 0.4m, SLR 0.3m (flood_water_thickness) flood_s2p2c double flood depth: Hs 1.4m 185d 14s, WL 0.4m, SLR 0.6m (flood_water_thickness) flood_s2p2d double flood depth: Hs 1.4m 185d 14s, WL 0.4m, SLR 1.0m (flood_water_thickness) flood_s2p2e double flood depth: Hs 1.4m 185d 14s, WL 0.4m, SLR 2.0m (flood_water_thickness) flood_s3p1a double flood depth: Hs 2.5m 195d 17s, WL 0.9m, SLR 0.0m (flood_water_thickness) flood_s3p1b double flood depth: Hs 2.5m 195d 17s, WL 0.9m, SLR 0.3m (flood_water_thickness) flood_s3p1c double flood depth: Hs 2.5m 195d 17s, WL 0.9m, SLR 0.6m (flood_water_thickness) flood_s3p1d double flood depth: Hs 2.5m 195d 17s, WL 0.9m, SLR 1.0m (flood_water_thickness) flood_s3p1e double flood depth: Hs 2.5m 195d 17s, WL 0.9m, SLR 2.0m (flood_water_thickness) flood_s3p2a double flood depth: Hs 2.5m 185d 14s, WL 0.9m, SLR 0.0m (flood_water_thickness) flood_s3p2b double flood depth: Hs 2.5m 185d 14s, WL 0.9m, SLR 0.3m (flood_water_thickness) flood_s3p2c double flood depth: Hs 2.5m 185d 14s, WL 0.9m, SLR 0.6m (flood_water_thickness) flood_s3p2d double flood depth: Hs 2.5m 185d 14s, WL 0.9m, SLR 1.0m (flood_water_thickness) flood_s3p2e double flood depth: Hs 2.5m 185d 14s, WL 0.9m, SLR 2.0m (flood_water_thickness) longitude double longitude (longitude) latitude double latitude (latitude) Pacific Islands Ocean Observing System (PacIOOS) info@pacioos.org http://pacioos.org http web browser information publisher OPeNDAP DAP/2.0 https://pae-paha.pacioos.hawaii.edu/thredds/slr_mod.html?dataset=bosz_westmaui 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/bosz_westmaui.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-westmaui/ http PacIOOS West Maui 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/bosz_westmaui ERDDAP:griddap ERDDAP This URL provides a viewer and/or data access for this dataset. download https://doi.org/10.1016/j.coastaleng.2012.06.001 http Related URL This URL provides additional information related to this dataset in the following publication: Roeber, V. and K.F. Cheung. 2012. Boussinesq-type model for energetic breaking waves in fringing reef environments. Coastal Engineering 70: 1-20. information dataset 2022-08-11T19:20:00Z Initial production release. This record was translated from NcML using UnidataDD2MI.xsl Version 2.3.