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<metadata>
  <idinfo>
    <citation>
      <citeinfo>
        <pubdate>20201102</pubdate>
        <title>SEA LEVEL RISE (SLR) INUNDATION DEPTH, HYDRO-CONNECTIVITY MODEL (RASTER), VERSION 3</title>
        <geoform>raster digital data</geoform>
      </citeinfo>
    </citation>
    <descript>
      <abstract>This raster data layer represents the potential depth (in inches) of flooding from sea level rise (SLR). Flooding was modeled using a modified bathtub approach that assesses inundated areas for hydrologic connectivity. Two sets of SLR scenarios were mapped: USACE (2013): U.S. Army Corps of Engineers Sea Level Rise Projections ER 1100-2-8162. Three projections: Low (historic rate), Intermediate, and HighNOAA (2017): Global and Regional Sea Level Rise Scenarios for the United States, NOAA Technical Report NOS CO-OPS 083. Six projections: Low, Intermediate-Low, Intermediate, Intermediate-High, High, and Extreme.Relative sea level rise values for nine future SLR projections were generated using the USACE Sea-Level Change Curve Calculator (“USACE Calculator”) 2019.21 (http://www.corpsclimate.us/ccaceslcurves.cfm). Additional data inputs include a tidal surface representing Mean Higher High Water (MHHW) developed by NOAA and a 5-meter horizontal resolution Digital Elevation Model (DEM) dataset (compiled by the UF GeoPlan Center).SLR scenarios are unique for each county, year, and projection; the scenario is specified in this data's DESCRIPT field and the amount of SLR (in feet) is specified in the RSLR_FT field. Nine SLR projection curves were mapped on top of MHHW at decadal intervals (2040 - 2100). The key in parenthesis following the projection name was added by the GeoPlan Center for shorthand notation of the projection curve. Please refer to the Data Lineage section for description of the mapping methods.Projection Name (Key)- USACE 2013 Low (C1)- USACE 2013 Intermediate (C2)- USACE 2013 High (C4)- NOAA 2017 Low (N1) - NOAA 2017 Intermediate-Low (N2) - NOAA 2017 Intermediate (N3)- NOAA 2017 Intermediate-High (N4)- NOAA 2017 High (N5)- NOAA 2017 Extreme (N6)</abstract>
      <purpose>This data was created by the University of Florida GeoPlan Center for the Florida Department of Transportation to identify approximate areas of flooding under future sea level rise (SLR) scenarios for transportation planning purposes. This data is part of the Florida Sea Level Scenario Sketch Planning Tool Version 3, which was released in November 2020.</purpose>
    </descript>
    <spdom>
      <bounding>
        <westbc>-82.439816</westbc>
        <eastbc>-81.560069</eastbc>
        <northbc>27.046504</northbc>
        <southbc>26.760719</southbc>
      </bounding>
    </spdom>
    <keywords>
      <theme>
        <themekt>None</themekt>
        <themekey>flooding</themekey>
        <themekey>sketch planning tool</themekey>
        <themekey>SLR</themekey>
        <themekey>sea level rise</themekey>
      </theme>
      <theme>
        <themekt>ISO 19115 Topic Categories</themekt>
        <themekey>environment</themekey>
        <themekey>planningCadastre</themekey>
        <themekey>transportation</themekey>
        <themekey>oceans</themekey>
      </theme>
    </keywords>
    <accconst>None</accconst>
    <useconst>These data are not to be used for engineering design, stormwater or drainage design, property asessment, permitting, or parcel-level analysis. Before using these data, it is highly recommended to read the full report of this project, available at: sls.geoplan.ufl.edu</useconst>
    <datacred>University of Florida GeoPlan Center</datacred>
    <native>Esri ArcGIS 10.7.1</native>
  </idinfo>
  <dataqual>
    <lineage>
      <procstep>
        <procdesc>SLR was mapped by county.  Each county was assigned a tide station based on proximity and any recommended unified SLR projections utilized in each geographic region (see list below of tide station assignment by county).

The USACE Sea-Level Change Curve Calculator (“USACE Calculator”) 2019.21 (http://www.corpsclimate.us/ccaceslcurves.cfm) was used to generate relative SLR values for NOAA 2017 and USACE 2013 projections for twelve Florida tide stations. Values were adjusted to MSL(83-01) datum. 

Relative SLR values were then added to a tidal surface representing MHHW conditions (obtained from NOAA CO-OPs). Resulting flood surfaces were evaluated against a Digital Elevation Model (DEM).  The DEM was mosaciked together by the GeoPlan Center using the best available elevation data, including Lidar-based DEMs for much of the State. Some areas were not included in the mapping due to low resolution elevation data.

Output layers showing inundated were then evaluated for hydrologic connectivity to remove isolated inland areas not connected to water. 

Tide Station Assignments - by County: 

County, Tide Station
Bay, Panama City
Brevard, Daytona Beach Shores
Broward, Key West
Charlotte, Fort Myers
Citrus, Cedar Key
Clay, Mayport
Collier, Naples
Dixie, Cedar Key
Duval, Mayport
Escambia, Pensacola
Flagler, Daytona Beach Shores
Franklin, Apalachicola
Gulf, Apalachicola
Hernando, Cedar Key
Hillsborough, St. Petersburg
Indian River, Trident Pier (NOAA)/ Daytona Beach Shores (USACE)*
Jefferson, Apalachicola
Lee, Fort Myers
Levy, Cedar Key
Manatee, St. Petersburg
Martin, Key West
Miami-Dade, Key West
Monroe, Key West
Nassau, Fernandina Beach
Okaloosa, Panama City
Palm Beach, Key West
Pasco, St. Petersburg
Pinellas, St. Petersburg
Putnam, Mayport
Santa Rosa, Pensacola
Sarasota, St. Petersburg
St. Johns, Mayport
St. Lucie, Trident Pier (NOAA)/ Daytona Beach Shores (USACE)*
Taylor, Cedar Key
Volusia, Daytona Beach Shores
Wakulla, Apalachicola
Walton, Panama City

For Indian River and St. Lucie counties, the Trident Pier tide station was used to generate NOAA 2017 projections and the Daytona Beach Shores tide station was used to generate USACE 2013 projections. Trident Pier is in closer proximity to these counties, but the USACE Calculator does not allow you to generate USACE 2013 SLR projections with Trident Pier data. </procdesc>
      </procstep>
    </lineage>
  </dataqual>
  <spdoinfo>
    <direct>Raster</direct>
    <rastinfo>
      <rasttype>Grid Cell</rasttype>
    </rastinfo>
  </spdoinfo>
  <spref>
    <horizsys>
      <planar>
        <mapproj>
          <mapprojn>Albers Conical Equal Area [Florida Geographic Data Library]</mapprojn>
          <albers>
            <stdparll>24.0</stdparll>
            <stdparll>31.5</stdparll>
            <longcm>-84.0</longcm>
            <latprjo />
            <feast>400000.0</feast>
            <fnorth>0.0</fnorth>
          </albers>
        </mapproj>
        <planci>
          <plance>coordinate pair</plance>
          <coordrep>
            <absres>0.000000004429812072714868</absres>
            <ordres>0.000000004429812072714868</ordres>
          </coordrep>
          <plandu>meter</plandu>
        </planci>
      </planar>
      <geodetic>
        <horizdn>D North American 1983 HARN</horizdn>
        <ellips>GRS 1980</ellips>
        <semiaxis>6378137.0</semiaxis>
        <denflat>298.257222101</denflat>
      </geodetic>
    </horizsys>
  </spref>
  <eainfo>
    <detailed>
      <enttyp>
        <enttypl>VAT_COUNTY_YEAR_CURVE_MHHW</enttypl>
        <enttypd>SLR table</enttypd>
        <enttypds>UF GeoPlan Center</enttypds>
      </enttyp>
      <attr>
        <attrlabl>Count</attrlabl>
        <attrdef>Number of cells inundated under this SLR scenario.</attrdef>
        <attrdefs>UF GeoPlan Center</attrdefs>
      </attr>
      <attr>
        <attrlabl>Value</attrlabl>
        <attrdef>Cell Value indicating flooding</attrdef>
        <attrdefs>UF GeoPlan Center</attrdefs>
        <attrdomv>
          <edom>
            <edomv>1</edomv>
            <edomvd>Flooded/ inundated</edomvd>
            <edomvds>UF GeoPlan Center</edomvds>
          </edom>
        </attrdomv>
      </attr>
      <attr>
        <attrlabl>OBJECTID</attrlabl>
        <attrdef>Internal feature number.</attrdef>
        <attrdefs>Esri</attrdefs>
        <attrdomv>
          <udom>Sequential unique whole numbers that are automatically generated.</udom>
        </attrdomv>
      </attr>
    </detailed>
  </eainfo>
  <metainfo>
    <metd>20201113</metd>
    <metc>
      <cntinfo>
        <cntorgp>
          <cntorg>GeoPlan Center</cntorg>
          <cntper>University of Florida</cntper>
        </cntorgp>
      </cntinfo>
    </metc>
    <metstdn>FGDC Content Standard for Digital Geospatial Metadata</metstdn>
    <metstdv>FGDC-STD-001-1998</metstdv>
    <mettc>local time</mettc>
    <metuc>These data are not to be used for parcel-level analysis. Before using these data, it is highly recommended to read the full report of this project, available at: sls.geoplan.ufl.edu</metuc>
  </metainfo>
</metadata>