<?xml version="1.0" encoding="UTF-8"?>
<metadata>
  <idinfo>
    <citation>
      <citeinfo>
        <origin>Theresa A. Fregoso</origin>
        <origin>Curt D. Storlazzi</origin>
        <pubdate>20240910</pubdate>
        <title>Hawaiian Islands: Projected coastal flooding inundation depths for 0.00, +0.25, +0.50, +1.00-, +1.50-, +2.00-, and +3.00-meter sea-level rise scenarios (ver. 1.1, February 2025)</title>
        <edition>1.1</edition>
        <geoform>GeoTiff</geoform>
        <serinfo>
          <sername>data release</sername>
          <issue>DOI:10.5066/P9RIQ7S7</issue>
        </serinfo>
        <pubinfo>
          <pubplace>Pacific Coastal and Marine Science Center, Santa Cruz, CA</pubplace>
          <publish>U.S. Geological Survey</publish>
        </pubinfo>
        <onlink>https://doi.org/10.5066/P9RIQ7S7</onlink>
        <lworkcit>
          <citeinfo>
            <origin>Kristen C. Alkins</origin>
            <origin>Camila L. Gaido</origin>
            <origin>Borja G. Reguero</origin>
            <origin>Curt D. Storlazzi</origin>
            <origin>Theresa A. Fregoso</origin>
            <pubdate>2024</pubdate>
            <title>Projected coastal flooding extents and depths for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands</title>
            <serinfo>
              <sername>data release</sername>
              <issue>DOI:10.5066/P9RIQ7S7</issue>
            </serinfo>
            <pubinfo>
              <pubplace>Pacific Coastal and Marine Science Center, Santa Cruz, CA</pubplace>
              <publish>U.S. Geological Survey</publish>
            </pubinfo>
            <onlink>https://doi.org/10.5066/P9RIQ7S7</onlink>
          </citeinfo>
        </lworkcit>
      </citeinfo>
    </citation>
    <descript>
      <abstract>This data release provides flood depth GeoTIFFs based on potential future sea-level rise (SLR)for the coast of the most populated Hawaiian Islands of O'ahu, Moloka'i, Kaua'i, Maui, and Big Island. Digital elevation models were used to extract SLR flooded areas at 10-m2 resolution along the coastlines for 0.00 m, +0.25 m, +0.50 m, +1.00 m, +1.50 m, +2.00 m, and +3.00 m SLR scenarios.</abstract>
      <purpose>These flood extent files were created to evaluate coastal flooding in the most populated Hawaiian Islands O'ahu, Moloka'i, Kaua'i, Maui, and Big Island due to climate change influenced SLR. The data are intended to provide a spatially explicit, rigorous valuation of how, where, and when climate change influenced SLR increase coastal storm-induced flooding to help identify areas where management and/or restoration could potentially help reduce the risk to, and increase the resiliency of, the coastal communities in Hawaii. The data can be used with geographic information systems (GIS) software for research purposes.</purpose>
      <supplinf>Any use of trade, product, or firm names is for descriptive purposes only and does not imply endorsement by the U.S. Government.
Although this Federal Geographic Data Committee-compliant metadata file is intended to document the dataset in nonproprietary form, as well as in Esri format, this metadata file may include some Esri-specific terminology.</supplinf>
    </descript>
    <timeperd>
      <timeinfo>
        <sngdate>
          <caldate>20211216</caldate>
        </sngdate>
      </timeinfo>
      <current>publication date</current>
    </timeperd>
    <status>
      <progress>Complete</progress>
      <update>None planned</update>
    </status>
    <spdom>
      <bounding>
        <westbc>-160.251038055</westbc>
        <eastbc>-154.732205092</eastbc>
        <northbc>22.232539987</northbc>
        <southbc>18.892899371</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>ISO 19115 Topic Category</themekt>
        <themekey>oceans</themekey>
        <themekey>environment</themekey>
        <themekey>geoscientificInformation</themekey>
      </theme>
      <theme>
        <themekt>Data Categories for Marine Planning</themekt>
        <themekey>Predictions</themekey>
        <themekey>Physical Habitats and Geomorphology</themekey>
      </theme>
      <theme>
        <themekt>USGS Thesaurus</themekt>
        <themekey>Coastal Processes</themekey>
        <themekey>Geospatial Datasets</themekey>
        <themekey>Spatial Analysis</themekey>
        <themekey>Climate Change</themekey>
        <themekey>Storms</themekey>
        <themekey>Floods</themekey>
        <themekey>Sea-level Change</themekey>
        <themekey>Mathematical modeling</themekey>
        <themekey>Effects of climate change</themekey>
        <themekey>Environmental Justice</themekey>
        <themekey>Earth sciences</themekey>
      </theme>
      <theme>
        <themekt>Marine Realms Information Bank (MRIB) keywords</themekt>
        <themekey>Flooding</themekey>
        <themekey>Sea level change</themekey>
        <themekey>Waves</themekey>
      </theme>
      <theme>
        <themekt>None</themekt>
        <themekey>U.S. Geological Survey</themekey>
        <themekey>USGS</themekey>
        <themekey>Coastal and Marine Hazards and Resources Program</themekey>
        <themekey>CMHRP</themekey>
        <themekey>Pacific Coastal and Marine Science Center</themekey>
        <themekey>PCMSC</themekey>
        <themekey>Environmental Equity</themekey>
      </theme>
      <theme>
        <themekt>USGS Metadata Identifier</themekt>
        <themekey>USGS:661dc7c4d34e7eb9eb7e3c17</themekey>
      </theme>
      <place>
        <placekt>Geographic Names Information System (GNIS)</placekt>
        <placekey>Hawaiian Islands</placekey>
        <placekey>State of Hawaii</placekey>
        <placekey>Island of Hawai'i</placekey>
        <placekey>Kaua'i</placekey>
        <placekey>Maui</placekey>
        <placekey>Moloka'i</placekey>
        <placekey>O'ahu</placekey>
      </place>
    </keywords>
    <accconst>No access constraints</accconst>
    <useconst>USGS-authored or produced data and information are in the public domain from the U.S. Government and are freely redistributable with proper metadata and source attribution. Please recognize and acknowledge the U.S. Geological Survey and UCSC as the originator(s) of the dataset and in products derived from these data. This information is not intended for navigation purposes.</useconst>
    <ptcontac>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey, Pacific Coastal and Marine Science Center</cntorg>
          <cntper>PCMSC Science Data Coordinator</cntper>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>2885 Mission Street</address>
          <city>Santa Cruz</city>
          <state>CA</state>
          <postal>95060</postal>
        </cntaddr>
        <cntvoice>831-427-4747</cntvoice>
        <cntemail>pcmsc_data@usgs.gov</cntemail>
      </cntinfo>
    </ptcontac>
    <native>Environment as of Metadata Creation: Microsoft Windows 10 Version 10.0 (Build 19045); Esri ArcGIS 13.2.0.49743. Results were output as GeoTIFFs.</native>
    <crossref>
      <citeinfo>
        <origin>Curt D. Storlazzi</origin>
        <origin>Borja G. Reguero</origin>
        <origin>Aaron D. Cole</origin>
        <origin>Eric Lowe</origin>
        <origin>James B. Shope</origin>
        <origin>Ann E. Gibbs</origin>
        <origin>Barry A. Nickel</origin>
        <origin>Robert T. McCall</origin>
        <origin>Ap R. van Dongeren</origin>
        <origin>Mike W. Beck</origin>
        <pubdate>2019</pubdate>
        <title>Rigorously Valuing the Role of U.S. Coral Reefs in Coastal Hazard Risk Reduction</title>
        <othercit>Storlazzi, C.D., Reguero, B.G., Cole, A.D., Lowe, E., Shope, J.B., Gibbs, A.E., Nickel, B.A., McCall, R.T., van Dongeren, A.R., and Beck, M.W., 2019, Rigorously valuing the role of U.S. coral reefs in coastal hazard risk reduction:  U.S. Geological Survey Open-File Report 2019-1027, 42 p.</othercit>
        <onlink>https://doi.org/10.3133/ofr20191027</onlink>
      </citeinfo>
    </crossref>
    <crossref>
      <citeinfo>
        <origin>Curt D. Storlazzi</origin>
        <origin>Borja G. Reguero</origin>
        <origin>T. Shay Viehman</origin>
        <origin>Kristen A. Cumming</origin>
        <origin>Aaron D. Cole</origin>
        <origin>James B. Shope</origin>
        <origin>Sarah H. Groves</origin>
        <origin>Camila Gaido L.</origin>
        <origin>Barry A. Nickel</origin>
        <origin>Mike W. Beck</origin>
        <pubdate>2021</pubdate>
        <title>Rigorously Valuing the Impact of Hurricanes Irma and Maria on Coastal Hazard Risk in Florida and Puerto Rico</title>
        <othercit>Storlazzi, C.D., Reguero, B.G., Viehman, T.S., Cumming, K.A., Cole, A.D., Shope, J.B., Groves, S.H., Gaido L., C., Nickel, B.A., and Beck, M.W., 2021, Rigorously valuing the impact of Hurricanes Irma and Maria on coastal hazard risks in Florida and Puerto Rico: U.S. Geological Survey Open-File Report 20211056, 29 p.</othercit>
        <onlink>https://doi.org/10.3133/ofr20191027</onlink>
      </citeinfo>
    </crossref>
    <crossref>
      <citeinfo>
        <origin>Borja G. Reguero</origin>
        <origin>Curt D. Storlazzi</origin>
        <origin>Ann E. Gibbs</origin>
        <origin>James B. Shope</origin>
        <origin>Aaron D. Cole</origin>
        <origin>Kristen A. Cumming</origin>
        <origin>Mike W. Beck</origin>
        <pubdate>2021</pubdate>
        <title>The value of US coral reefs for flood risk reduction</title>
        <othercit>Reguero, B.G., Storlazzi, C.D., Gibbs, A.E., Shope J.B., Cole, A.D., Cumming, K.A., and Beck, M.W., 2021 Author Correction: The value of US coral reefs for flood risk reduction. Nat Sustain 4, 457.</othercit>
        <onlink>https://doi.org/10.1038/s41893-021-00724-4</onlink>
      </citeinfo>
    </crossref>
    <crossref>
      <citeinfo>
        <origin>Curt D. Storlazzi</origin>
        <origin>Borja G. Reguero</origin>
        <origin>Camila L. Gaido</origin>
        <origin>Kristen C. Alkins</origin>
        <origin>Chris Lowrie</origin>
        <origin>Kees M. Nederhoff</origin>
        <origin>Li H. Erikson</origin>
        <origin>Andrea C. O'Neill</origin>
        <origin>Mike W. Beck</origin>
        <pubdate>2024</pubdate>
        <title>Forecasting Storm-Induced Coastal Flooding for 21st Century Sea-Level Rise Scenarios in the Hawaiian, Mariana, and American Samoan Islands</title>
        <othercit>Storlazzi, C.D., Reguero, B.G., Gaido L., C., Alkins, K.C., Lowrie, C., Nederhoff, K.M., Erikson, L.H., O'Neill, A.C., and Beck, M.W., 2024, Forecasting storm-induced coastal flooding for 21st century sea-level rise scenarios in the Hawaiian, Mariana, and American Samoan Islands: U.S. Geological Survey Data Report 1184, 21 p., https://doi.org/10.3133/dr1184.</othercit>
        <onlink>https://doi.org/10.3133/dr1184</onlink>
      </citeinfo>
    </crossref>
  </idinfo>
  <dataqual>
    <attracc>
      <attraccr>Attribute values are values automatically generated during creation of dataset.</attraccr>
    </attracc>
    <logic>No additional checks for consistency were performed on this data.</logic>
    <complete>Dataset is considered complete for the information presented as described in the abstract. Users are advised to read the metadata record carefully for additional details.</complete>
    <posacc>
      <horizpa>
        <horizpar>Data are concurrent with topobathymetric topobathymetric digital elevation model (DEM) locations.</horizpar>
      </horizpa>
      <vertacc>
        <vertaccr>Elevation values are as precise as resolution and tolerances listed in associated topobathymetric DEMs.</vertaccr>
      </vertacc>
    </posacc>
    <lineage>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>N.O.A.A. National Geophysical Data Center</origin>
            <pubdate>2005</pubdate>
            <title>U.S. Coastal Relief Model vol. 10 - Hawaii</title>
            <geoform>NetCDF</geoform>
            <pubinfo>
              <pubplace>online</pubplace>
              <publish>National Oceanic and Atmospheric Administration National Geophysical Data Center</publish>
            </pubinfo>
            <onlink>https://doi.org/10.7289/V5RF5RZZ</onlink>
          </citeinfo>
        </srccite>
        <typesrc>Digital</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>19910101</begdate>
              <enddate>20050101</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>DEM</srccitea>
        <srccontr>DEM used to extract each of the levels of sea level rise.</srccontr>
      </srcinfo>
      <srcinfo>
        <srccite>
          <citeinfo>
            <origin>Kristen C. Alkins</origin>
            <origin>Camila Gaido L.</origin>
            <origin>Borja G. Reguero</origin>
            <origin>Curt D. Storlazzi</origin>
            <pubdate>2024</pubdate>
            <title>Projected coastal flooding extents for 1-, 20-, and 100-year return interval storms and 0.00, +0.25, +0.50, +1.00, +1.50, +2.00, and +3.00 meter sea-level rise scenarios in the Hawaiian Islands</title>
            <geoform>Shapefile</geoform>
            <pubinfo>
              <pubplace>online</pubplace>
              <publish>US Geological Survey</publish>
            </pubinfo>
            <onlink>https://doi.org/10.5066/P9RIQ7S7</onlink>
          </citeinfo>
        </srccite>
        <typesrc>Digital</typesrc>
        <srctime>
          <timeinfo>
            <rngdates>
              <begdate>19910101</begdate>
              <enddate>20050101</enddate>
            </rngdates>
          </timeinfo>
          <srccurr>publication date</srccurr>
        </srctime>
        <srccitea>storm extents</srccitea>
        <srccontr>Shapefiles used to extract each of the levels of sea level rise.</srccontr>
      </srcinfo>
      <procstep>
        <procdesc>Extract SLR flood scenarios (0.00, 0.25, 0.5, 1.0, 1.5, 2.0 and 3.0 m) for the coast of O'ahu, Moloka'i, Kaua'i, Maui, and Big Island from DEMs, by first extracting values from 0 to SLR elevations. Then these layers were changed to flood depths by subtracting extracted values layer from SLR height, creating flood depths GeoTIFFs.  The corresponding SLR storm flood extents for 1-year storms were then used to clip the extents of the SLR only flood extents to ensure that any clipping of the original storm flood layers was honored in the SLR flood extents. These new clipped GeoTIFFs were then exported out as polygons. These new polygons were then visually inspected to remove any polygons that could not be the result of SLR flood inundation.  Once this inspection was complete, these edited SLR flood extents were then used to clip the SLR flood depths GeoTIFFs for a final time. Final GeoTIFFs were separated by island and zipped (SLR_[island]_depths.zip) for file-size considerations.</procdesc>
        <srcused>DEM</srcused>
        <srcused>storm extents</srcused>
        <procdate>20240315</procdate>
      </procstep>
      <procstep>
        <procdesc>The final GeoTIFF files for the 0.00 m SLR flood (no storm) scenario, omitted from the original data release, were added to this dataset.</procdesc>
        <procdate>20241220</procdate>
      </procstep>
      <procstep>
        <procdesc>The metadata title was modified to move the location to the beginning of the title. This was done to meet new system requirements as ScienceBase is migrated to a new platform, and to keep datasets grouped by location on the new data release landing page. (20260325).</procdesc>
        <procdate>20260325</procdate>
        <proccont>
          <cntinfo>
            <cntperp>
              <cntper>Manda Au</cntper>
              <cntorg>U.S. Geological Survey</cntorg>
            </cntperp>
            <cntpos>Data Management Specialist</cntpos>
            <cntaddr>
              <addrtype>Mailing</addrtype>
              <address>2885 Mission Street</address>
              <city>Santa Cruz</city>
              <state>CA</state>
              <postal>95060</postal>
            </cntaddr>
            <cntvoice>831-460-7575</cntvoice>
            <cntemail>mau@usgs.gov</cntemail>
          </cntinfo>
        </proccont>
      </procstep>
    </lineage>
  </dataqual>
  <spdoinfo>
    <direct>Raster</direct>
    <rastinfo>
      <rasttype>Pixel</rasttype>
    </rastinfo>
  </spdoinfo>
  <spref>
    <horizsys>
      <geograph>
        <latres>0.00001</latres>
        <longres>0.00001</longres>
        <geogunit>Decimal Degrees</geogunit>
      </geograph>
      <geodetic>
        <horizdn>D_WGS_1984</horizdn>
        <ellips>WGS_1984</ellips>
        <semiaxis>6378137.0</semiaxis>
        <denflat>298.257223563</denflat>
      </geodetic>
    </horizsys>
    <vertdef>
      <altsys>
        <altdatum>North American Vertical Datum of 1988</altdatum>
        <altres>0.01</altres>
        <altunits>meters</altunits>
        <altenc>Implicit coordinate</altenc>
      </altsys>
    </vertdef>
  </spref>
  <eainfo>
    <detailed>
      <enttyp>
        <enttypl>SLR_[Island]_[SLR height].</enttypl>
        <enttypd>GeoTIFFs consisting of the flood depths for the SLR scenario for each island.</enttypd>
        <enttypds>Producer defined</enttypds>
      </enttyp>
      <attr>
        <attrlabl>Value</attrlabl>
        <attrdef>water depth</attrdef>
        <attrdefs>producer defined</attrdefs>
        <attrdomv>
          <rdom>
            <rdommin>0.0</rdommin>
            <rdommax>3.0</rdommax>
            <attrunit>meters</attrunit>
            <attrmres>0.01</attrmres>
          </rdom>
        </attrdomv>
      </attr>
    </detailed>
    <overview>
      <eaover>GeoTIFFs contained in this part of the data release include projected flood extents in the following format SLR_[Island]_[SLR scenario].tif, where [SLR scenario] = one of the seven SLR scenarios modeled (000cm, 025cm, 050cm, 100cm, 150cm, 200cm, 300cm). Files are grouped by island, containing all SLR scenarios. For example, SLR_BigIsland_depths.zip contains all outputs for the Big Island within which SLR_big_Island_300.tif illustrates the flood depths for a SLR of 300 cm (3 m).</eaover>
      <eadetcit>U.S. Geological Survey</eadetcit>
    </overview>
  </eainfo>
  <distinfo>
    <distrib>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey - ScienceBase</cntorg>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>Denver Federal Center, Building 810, Mail Stop 302</address>
          <city>Denver</city>
          <state>CO</state>
          <postal>80225</postal>
        </cntaddr>
        <cntvoice>1-888-275-8747</cntvoice>
        <cntemail>sciencebase@usgs.gov</cntemail>
      </cntinfo>
    </distrib>
    <resdesc>These data are available as GeoTIFFs by island for which [SLR_[island]_depths.zip is the filename, where Island could be Oahu, Molokai, Kauai, Maui, or Big Island.</resdesc>
    <distliab>Unless otherwise stated, all data, metadata and related materials are considered to satisfy the quality standards relative to the purpose for which the data were collected. Although these data and associated metadata have been reviewed for accuracy and completeness and approved for release by the U.S. Geological Survey (USGS), no warranty expressed or implied is made regarding the display or utility of the data on any other system or for general or scientific purposes, nor shall the act of distribution constitute any such warranty.</distliab>
    <stdorder>
      <digform>
        <digtinfo>
          <formname>GeoTIFF</formname>
          <formvern>ArcGIS 13.2.0.49743</formvern>
          <formspec>Features are GeoTIFF format and are projected in UTM Zone 4N coordinates, with horizontal datum WGS84</formspec>
          <formcont>Individual Zip files contains the flood depth rasters for O'ahu, Moloka'i, Kaua'i, Maui, or Big Island in the Hawaiian Islands.</formcont>
          <filedec>WinZip</filedec>
          <transize>23.4</transize>
        </digtinfo>
        <digtopt>
          <onlinopt>
            <computer>
              <networka>
                <networkr>https://www.sciencebase.gov/catalog/file/get/661dc7c4d34e7eb9eb7e3c17</networkr>
                <networkr>https://www.sciencebase.gov/catalog/item/661dc7c4d34e7eb9eb7e3c17</networkr>
                <networkr>https://doi.org/10.5066/P9RIQ7S7</networkr>
              </networka>
            </computer>
            <accinstr>Data can be downloaded using the Network_Resource_Name links. The first link is a direct link to download the zipped file of data and metadata for O'ahu, Moloka'i, Kaua'i, Maui, and Big Island in the Hawaiian Islands. The second link points to a landing page with the links to the metadata and data for O'ahu, Moloka'i, Kaua'i, Maui, and Big Island. The third link points to the landing page for the landing page for the entire data release.</accinstr>
          </onlinopt>
        </digtopt>
      </digform>
      <fees>None.</fees>
    </stdorder>
    <techpreq>These data can be viewed with ArcGIS or other spatial analysis software.</techpreq>
  </distinfo>
  <metainfo>
    <metd>20260325</metd>
    <metc>
      <cntinfo>
        <cntorgp>
          <cntorg>U.S. Geological Survey, Pacific Coastal and Marine Science Center</cntorg>
          <cntper>PCMSC Science Data Coordinator</cntper>
        </cntorgp>
        <cntaddr>
          <addrtype>mailing and physical</addrtype>
          <address>2885 Mission Street</address>
          <city>Santa Cruz</city>
          <state>CA</state>
          <postal>95060</postal>
        </cntaddr>
        <cntvoice>831-427-4747</cntvoice>
        <cntemail>pcmsc_data@usgs.gov</cntemail>
      </cntinfo>
    </metc>
    <metstdn>Content Standard for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001-1998</metstdv>
  </metainfo>
</metadata>