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      Individual_Name: 
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      Organisation_Name: 
        University of Hawaii at Manoa
      Contact_Information: 
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          Title: 
            BOSZ Wave-Driven Sea Level Rise Inundation: West Maui
          Date: 
            Date: 
              Date: 
                Date: 
                  2022-08-11
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            Date: 
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                Date: 
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                Assaf Azouri
              Organisation_Name: 
                University of Hawaii at Manoa
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                      Electronic_Mail_Address: 
                        assaf@hawaii.edu
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      Abstract: 
        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.
      Purpose: 
        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.
      Credit: 
        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).
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            Assaf Azouri
          Organisation_Name: 
            University of Hawaii at Manoa
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            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 
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            BOSZ Wave-Driven Sea Level Rise Inundation: West Maui
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            Date: 
              Date: 
                Date: 
                  2022-08-11
              Date_Type: 
                Date_Type_Code: 
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            Date: 
              Date: 
                Date: 
                  2022-08-11
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                Assaf Azouri
              Organisation_Name: 
                University of Hawaii at Manoa
              Contact_Information: 
                Contact: 
                  Address: 
                    Address: 
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                        assaf@hawaii.edu
              Role: 
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              Organisation_Name: 
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      Abstract: 
        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 
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          Date: 
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              Date: 
                Date: 
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                Assaf Azouri
              Organisation_Name: 
                University of Hawaii at Manoa
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                      Electronic_Mail_Address: 
                        assaf@hawaii.edu
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              Organisation_Name: 
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      Abstract: 
        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 
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          Title: 
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          Date: 
            Date: 
              Date: 
                Date: 
                  2022-08-11
              Date_Type: 
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          Date: 
            Date: 
              Date: 
                Date: 
                  2022-08-11
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              Date: 
                Date: 
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                Assaf Azouri
              Organisation_Name: 
                University of Hawaii at Manoa
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                        assaf@hawaii.edu
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              Organisation_Name: 
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      Abstract: 
        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 
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        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.
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              Attribute_Type: 
                Type_Name: 
                  Name: 
                    double
          Descriptor: 
            longitude (longitude)
          Value_Unit: 
      Dimension: 
        Band: 
          Sequence_Identifier: 
            Member_Name: 
              Name: 
                latitude
              Attribute_Type: 
                Type_Name: 
                  Name: 
                    double
          Descriptor: 
            latitude (latitude)
          Value_Unit: 
  Distribution_Information: 
    Distribution: 
      Distributor: 
        Distributor: 
          Distributor_Contact: 
            Responsible_Party: 
              Individual_Name: 
              Organisation_Name: 
                Pacific Islands Ocean Observing System (PacIOOS)
              Contact_Information: 
                Contact: 
                  Address: 
                    Address: 
                      Electronic_Mail_Address: 
                        info@pacioos.org
                  Online_Resource: 
                    Online_Resource: 
                      Linkage: 
                        URL: 
                          http://pacioos.org
                      Protocol: 
                        http
                      Application_Profile: 
                        web browser
                      Name: 
                      Description: 
                      Function: 
                        OnLine_Function_Code: 
                          information
              Role: 
                Role_Code: 
                  publisher
          Distributor_Format: 
            Format: 
              Name: 
                OPeNDAP
              Version: 
                DAP/2.0
          Distributor_Transfer_Options: 
            Digital_Transfer_Options: 
              Online: 
                Online_Resource: 
                  Linkage: 
                    URL: 
                      https://pae-paha.pacioos.hawaii.edu/thredds/slr_mod.html?dataset=bosz_westmaui
                  Protocol: 
                    UNIDATA:THREDDS
                  Name: 
                    THREDDS Catalog
                  Description: 
                    This URL provides a catalog page for this dataset within 
                    THREDDS Data Server (TDS).
                  Function: 
                    OnLine_Function_Code: 
                      download
          Distributor_Transfer_Options: 
            Digital_Transfer_Options: 
              Online: 
                Online_Resource: 
                  Linkage: 
                    URL: 
                      https://pae-paha.pacioos.hawaii.edu/thredds/dodsC/bosz_westmaui.html
                  Protocol: 
                    http
                  Name: 
                    File Information
                  Description: 
                    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.
                  Function: 
                    OnLine_Function_Code: 
                      download
          Distributor_Transfer_Options: 
            Digital_Transfer_Options: 
              Online: 
                Online_Resource: 
                  Linkage: 
                    URL: 
                      http://www.pacioos.hawaii.edu/shoreline/slr-westmaui/
                  Protocol: 
                    http
                  Name: 
                    PacIOOS West Maui Wave-Driven Flooding With Sea Level Rise
                  Description: 
                    This URL provides a viewer and/or data access for this 
                    dataset.
                  Function: 
                    OnLine_Function_Code: 
                      download
          Distributor_Transfer_Options: 
            Digital_Transfer_Options: 
              Online: 
                Online_Resource: 
                  Linkage: 
                    URL: 
                      https://pae-paha.pacioos.hawaii.edu/erddap/griddap/bosz_westmaui
                  Protocol: 
                    ERDDAP:griddap
                  Name: 
                    ERDDAP
                  Description: 
                    This URL provides a viewer and/or data access for this 
                    dataset.
                  Function: 
                    OnLine_Function_Code: 
                      download
          Distributor_Transfer_Options: 
            Digital_Transfer_Options: 
              Online: 
                Online_Resource: 
                  Linkage: 
                    URL: 
                      https://doi.org/10.1016/j.coastaleng.2012.06.001
                  Protocol: 
                    http
                  Name: 
                    Related URL
                  Description: 
                    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.
                  Function: 
                    OnLine_Function_Code: 
                      information
  Data_Quality_Information: 
    Data_Quality: 
      Scope: 
        Scope: 
          Hierarchy_Level: 
            Scope_Code: 
              dataset
      Lineage: 
        Lineage: 
          Statement: 
            2022-08-11T19:20:00Z Initial production release.
  Metadata_Maintenance: 
    Maintenance_Information: 
      Maintenance_And_Update_Frequency: 
      Maintenance_Note: 
        This record was translated from NcML using UnidataDD2MI.xsl Version 2.3.